Relevant bibliographies by topics / Pose variations

Academic literature on the topic 'Pose variations'

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Published: 4 May 2024

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Journal articles on the topic "Pose variations"

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Du, Shan, and Rabab Ward. "Face recognition under pose variations." Journal of the Franklin Institute 343, no. 6 (September 2006): 596–613. http://dx.doi.org/10.1016/j.jfranklin.2006.08.006.

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Benjamin Dias, M., and Bernard F. Buxton. "Separating shape and pose variations." Image and Vision Computing 22, no. 10 (September 2004): 851–61. http://dx.doi.org/10.1016/j.imavis.2004.02.002.

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Palese, Marcella. "Variations by generalized symmetries of local Noether strong currents equivalent to global canonical Noether currents." Communications in Mathematics 24, no. 2 (December 1, 2016): 125–35. http://dx.doi.org/10.1515/cm-2016-0009.

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Abstract We will pose the inverse problem question within the Krupka variational sequence framework. In particular, the interplay of inverse problems with symmetry and invariance properties will be exploited considering that the cohomology class of the variational Lie derivative of an equivalence class of forms, closed in the variational sequence, is trivial. We will focalize on the case of symmetries of globally defined field equations which are only locally variational and prove that variations of local Noether strong currents are variationally equivalent to global canonical Noether currents. Variations, taken to be generalized symmetries and also belonging to the kernel of the second variational derivative of the local problem, generate canonical Noether currents - associated with variations of local Lagrangians - which in particular turn out to be conserved along any section. We also characterize the variation of the canonical Noether currents associated with a local variational problem.
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CHEN, SHAOKANG, BRIAN C. LOVELL, and TING SHAN. "ROBUST ADAPTED PRINCIPAL COMPONENT ANALYSIS FOR FACE RECOGNITION." International Journal of Pattern Recognition and Artificial Intelligence 23, no. 03 (May 2009): 491–520. http://dx.doi.org/10.1142/s0218001409007284.

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Recognizing faces with uncontrolled pose, illumination, and expression is a challenging task due to the fact that features insensitive to one variation may be highly sensitive to the other variations. Existing techniques dealing with just one of these variations are very often unable to cope with the other variations. The problem is even more difficult in applications where only one gallery image per person is available. In this paper, we describe a recognition method, Adapted Principal Component Analysis (APCA), that can simultaneously deal with large variations in both illumination and facial expression using only a single gallery image per person. We have now extended this method to handle head pose variations in two steps. The first step is to apply an Active Appearance Model (AAM) to the non-frontal face image to construct a synthesized frontal face image. The second is to use APCA for classification robust to lighting and pose. The proposed technique is evaluated on three public face databases — Asian Face, Yale Face, and FERET Database — with images under different lighting conditions, facial expressions, and head poses. Experimental results show that our method performs much better than other recognition methods including PCA, FLD, PRM and LTP. More specifically, we show that by using AAM for frontal face synthesis from high pose angle faces, the recognition rate of our APCA method increases by up to a factor of 4.
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Osuna, Isaac Aaron Rodriguez, Pablo Cobelli, and Nahuel Olaiz. "Bubble Formation in Pulsed Electric Field Technology May Pose Limitations." Micromachines 13, no. 8 (July 31, 2022): 1234. http://dx.doi.org/10.3390/mi13081234.

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Currently, increasing amounts of pulsed electric fields (PEF) are employed to improve a person’s life quality. This technology is based on the application of the shortest high voltage electrical pulse, which generates an increment over the cell membrane permeability. When applying these pulses, an unwanted effect is electrolysis, which could alter the treatment. This work focused on the study of the local variations of the electric field and current density around the bubbles formed by the electrolysis of water by PEF technology and how these variations alter the electroporation protocol. The assays, in the present work, were carried out at 2 KV/cm, 1.2 KV/cm and 0.6 KV/cm in water, adjusting the conductivity with NaCl at 2365 μs/cm with a single pulse of 800 μs. The measurements of the bubble diameter variations due to electrolysis as a function of time allowed us to develop an experimental model of the behavior of the bubble diameter vs. time, which was used for simulation purposes. In the in silico model, we calculated that the electric field and observed an increment of current density around the bubble can be up to four times the base value due to the edge effect around it, while the thermal effects were undesirable due to the short duration of the pulses (variations of ±0.1 °C are undesirable ). This research revealed that the rise of electric current is not just because of the shift in electrical conductivity due to chemical and thermal effects, but also varies with the bubble coverage over the electrode surface and variations in the local electric field by edge effect. All these variations can conduce to unwanted limitations over PEF treatment. In the future, we recommend tests on the variation of local current conductivity and electric fields.
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Shanmuganathan, M., and T. Nalini. "Face Recognition using Nearest Neighbour and Nearest Mean Classification Framework : Empirical Analysis, Conclusions and Future Directions." Journal of Physics: Conference Series 2251, no. 1 (April 1, 2022): 012010. http://dx.doi.org/10.1088/1742-6596/2251/1/012010.

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Abstract Human Face recognition algorithms have made huge progress in the last decade. In this manuscript, we have presented an approach for the implementation of a face recognition system in a successful manner by varying pose, scale, lighting, and age variation. The different empirical analysis was performed with various datasets for face detection and face identification. Face identification system detects efficiently segments and recognizes face in a cluttered sequence under varying pose, lighting and age variations. From this experimental analysis morphological model outperformed k-NNC, NMC based closest mean classifier and informative knowledge distillation with fairly reasonable accuracy. Three proposed methods on the basis of an efficient way of handling the face recognition problems. The morphological method outperformed well when compared with k-NNC, NMC based closest mean classifier a proposed method, and another innovative method named Informative knowledge Distillation. The morphological method is suitable for large datasets where occlusion, pose variation, age variations, and different expression of images.
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Et. al., K. Suma,. "Dense Feature Based Face Recognition from Surveillance Video using Convolutional Neural Network." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 5 (April 11, 2021): 1436–49. http://dx.doi.org/10.17762/turcomat.v12i5.2040.

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Face Recognition is a field of identifying the person from the facial features and has wide application range in security, human computer interactions, finance etc. In recent years, many researchers have developed different algorithms to identify the Faces from various illumination variations and Pose variation, but these two problems remain unsolved in Face Recognition (FR) field. The Local Binary Pattern (LBP) has already proved its robustness in illumination variation. This paper proposes a four-patch Local Binary Pattern based FR utilizing Convolutional Neural Network (CNN) for identifying the Facial images from various illumination conditions and Pose variation.
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HU, Yuan, Jingqi YAN, Wei LI, and Pengfei SHI. "3D Face Landmarking Method under Pose and Expression Variations." IEICE Transactions on Information and Systems E94-D, no. 3 (2011): 729–33. http://dx.doi.org/10.1587/transinf.e94.d.729.

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Drira, Hassen, Boulbaba Ben Amor, A. Srivastava, M. Daoudi, and R. Slama. "3D Face Recognition under Expressions, Occlusions, and Pose Variations." IEEE Transactions on Pattern Analysis and Machine Intelligence 35, no. 9 (September 2013): 2270–83. http://dx.doi.org/10.1109/tpami.2013.48.

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Zhou, Shaohua Kevin, and Rama Chellappa. "Image-based face recognition under illumination and pose variations." Journal of the Optical Society of America A 22, no. 2 (February 1, 2005): 217. http://dx.doi.org/10.1364/josaa.22.000217.

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Dissertations / Theses on the topic "Pose variations"

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Vu, Ngoc-Son. "Contributions à la reconnaissance de visages à partir d'une seule image et dans un contexte non-contrôlé." Phd thesis, Grenoble INPG, 2010. https://theses.hal.science/tel-00574547v1.

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Bien qu'ayant suscité des recherches depuis 30 ans, le problème de la reconnaissance de visages en contexte de vidéosurveillance, sachant qu'une seule image par individu est disponible pour l'enrôlement, n'est pas encore résolu. Dans ce contexte, les deux défis les plus difficiles à relever consistent à développer des algorithmes robustes aux variations d'illumination et aux variations de pose. De plus, il y a aussi une contrainte forte sur la complexité en temps et en occupation mémoire des algorithmes à mettre en oeuvre dans de tels systèmes. Le travail développé dans cette thèse apporte plusieurs avancées innovantes dans ce contexte de reconnaissance faciale en vidéosurveillance. Premièrement, une méthode de normalisation des variations d'illumination visant à simuler les performances de la rétine est proposée en tant que pré-traitement des images faciales. Deuxièmement, nous proposons un nouveau descripteur appelé POEM (Patterns of Oriented Edge Magnitudes) destiné à représenter les structures locales d'une image. Ce descripteur est discriminant, robuste aux variations extérieures (variations de pose, d'illumination, d'expression, d'âge que l'on rencontre souvent avec les visages). Troisièmement, un modèle statistique de reconnaissance de visages en conditions de pose variables, centré sur une modélisation de la manière dont l'apparence du visage évolue lorsque le point de vue varie, est proposé. Enfin, une nouvelle approche visant à modéliser les relations spatiales entre les composantes du visage est présentée. A l'exception de la dernière approche, tous les algorithmes proposés sont très rapides à calculer et sont donc adaptés à la contrainte de traitement temps réel des systèmes de vidéosurveillance
Although having been an active research topic for 30 years, recognizing a person from surveillance having seen only one image is unsolved. Within this context, the two greatest challenges are the variations of pose and illumination. Moreover, there are strict constraints upon the complexity in both terms of computational time and stockage requirements. The work developed throughout this dissertation gives several advantages in the context of real-time and unconstrained face recognition. Firstly, an illumination normalization method simulating the performance of human retina is proposed as preprocessing algorithm. Secondly, we propose novel features called POEM (Patterns of Oriented Edge Magnitudes) for representing a local image structure. This descriptor is discriminative and robust to exterior variations (variations of pose, illumination, expression and pose that we always see when dealing with face images). Thirdly, a statistical model for robust face recognition across poses, entered on modeling how facial patch appearance changes as the viewpoint varies, is proposed. Finally, a novel approach modeling the spatial relationships between face components is developed. Except the last algorithm, all proposed methods are very fast and are therefore suitable for the constraints upon real-time of surveillance applications
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Kumar, Sooraj. "Face recognition with variation in pose angle using face graphs /." Online version of thesis, 2009. http://hdl.handle.net/1850/9482.

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Jones, Helen. "Diurnal variation in post-exercise cardiovascular function." Thesis, Liverpool John Moores University, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.446421.

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Chen, Dongjin. "Legacies and Incentives:Explaining Variation in Local Healthcare Expenditure Variation in Post-Mao China." Kent State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=kent1343052167.

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Razzaghian, Hamid Reza. "Post-zygotic Genetic Variation in Health and Disease." Doctoral thesis, Uppsala universitet, Medicinsk genetik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-196217.

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Post-zygotic genetic variation has previously been shown in healthy individuals and linked to various disorders. The definition of post-zygotic or somatic variation is the existence of genetically distinct populations of cells in a subject derived from a single zygote. Structural changes in the human genome are a major type of inter-individual genetic variation and copy number variation (CNV), involving changes in the copy number of genes, are one of the best studied category of structural genetic changes. In paper I we reported a pair of healthy female monozygotic (MZ) twins discordant for aneuploidy of chromosomes X and Y, contributing to the delineation of the frequency of somatic variation in MZ twins. It also illustrates the plasticity of the genome for tolerating large aberrations in healthy subjects. In paper II we showed age-related accumulation of copy number variation in the nuclear genomes in vivo for both megabase- and kilobase-range variants. Using age-stratified MZ twins and single-born subjects, we detected megabase-range aberrations in 3.4% of people ≥60 years old but not in individuals younger than 55 years. Moreover, the longitudinal analysis of subjects with aberrations suggests that the aberrant cell clones are not immortalized and disappear from circulation. We also showed that sorted blood cells display different genomic profiles.  The detected recurrent rearrangements are candidates for common age-related defects in blood cells. This work might help to describe the cause of an age-related decline in the number of cell clones in the blood, which is one of the hallmarks of immunosenescence. In paper III we described a variable number tandem repeat (VNTR) ~4 kb upstream of the IFNAR1 gene, which was somatically variable.  We detected 14 alleles displaying inter- and intra-individual variation. Further analyses indicated strong clustering of transcription factor binding sites within this region, suggesting an enhancer. This putative VNTR-based enhancer might influence the transcriptional regulation of neighboring cytokine receptor genes and the pathways they are involved in. These three studies stress the importance of research on post-zygotic variation in genetics. Furthermore, they emphasize that biobanks should consider sampling of multiple tissues to better address this issue in the genetic studies.
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Stokes-Lampard, Helen Jayne. "Variation in NHS utilisation of vault cytology post-hysterectomy." Thesis, University of Birmingham, 2010. http://etheses.bham.ac.uk//id/eprint/825/.

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Hysterectomy is commonly performed but there is scant evidence concerning appropriate follow-up by vaginal vault cytology testing. This observational, retrospective cohort study, using routinely collected data, linked women’s entire cervical screening histories with their operation details and subsequent vault cytology test results, to establish: Which women are having hysterectomies? What was the indication? Which were followed-up? How did they differ from those who were not? 6,141 women underwent hysterectomy; an incidence of 23/10,000 women/pa. 11.61% had malignancy, 3% had CIN and 82.9% had benign disease. Median age was 48years, women were of greater deprivation and different ethnicity from the background population. Post-operatively 1,016 (16.5%) had vault cytology testing. Those having CIN at total hysterectomy should have vault cytology but only 63% had any, of these less than 10% had it according to protocol. Many factors were associated with having vault cytology (younger, less deprived, non-benign diagnosis and abnormal index cytology) but few clinically meaningful. Only 2.9% of vault cytology tests were abnormal. Efforts to identify and eradicate inappropriate use of vault tests should swiftly lead to savings. Although national guidelines are targeting the right women, it is recommended that all vaginal vault cytology should be undertaken in secondary care hereafter.
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Alcorn, Kristie. "Variations Among Women: An Investigation Into the Nature of Birth Trauma." Thesis, Griffith University, 2006. http://hdl.handle.net/10072/367522.

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An anxiety disorder following childbirth that has received increased research attention is Posttraumatic Stress Disorder (PTSD). However, methodological and theoretical problems limit research findings. This thesis identifies these problems, and evaluates research on trauma in childbirth considering these concerns. A primary aim of this thesis was to examine the prevalence of traumatic births and PTSD and partial PTSD (i.e., subsyndromal PTSD) using a methodology that addressed previous limitations. Data were collected during the third trimester and 4 to 6 weeks, 3 months, and 6 months postpartum. Nine hundred and thirty three women completed the first study phase. Results revealed that 45.5% of women experienced a traumatic birth using the DSM-IV criteria for a traumatic event and that 1.2% had PTSD at 4 to 6 weeks and 3.1% had PTSD at 3 and 6 months postpartum respectively. The prevalence rates of partial PTSD ranged from 1.3% to 2.3% postpartum. Another primary aim was to investigate variability in outcome to childbirth specific to perceiving birth as traumatic, developing PTSD and PTSD symptoms, and PTSD symptom change. Few studies have examined the predictive factors of meeting criteria for a traumatic birth or the predictors of PTSD postpartum. Thus, a goal of this thesis was to investigate variation in childbirth outcome, using prebirth, birth, and postbirth factors. Specifically, the thesis investigated the predictors of perceiving childbirth to be traumatic, the development of PTSD and PTSD symptoms, and PTSD symptom change, and found that some of the most salient predictors include: persistent dissociation, environmental stressors, and peritraumatic affective responses such as the intensity of fear, helplessness, and horror. The study was able to correctly predict, using cross-validated data, 88% of women as either meeting or not meeting criteria for a traumatic birth; 87% as developing or not developing PTSD; and 83% as experiencing an improvement or a decline in symptoms. The study also predicted 77% of PTSD symptom severity. Theoretical and practical implications and areas for future research are discussed.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Psychology
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Bathon, Leander Anton. "Probabilistic Determination of Failure Load Capacity Variations for Lattice Type Structures Based on Yield Strength Variations including Nonlinear Post-Buckling Member Performance." PDXScholar, 1992. https://pdxscholar.library.pdx.edu/open_access_etds/1225.

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With the attempt to achieve the optimum in analysis and design, the technological global knowledge base grows more and more. Engineers all over the world continuously modify and innovate existing analysis methods and design procedures to perform the same task more efficiently and with better results. In the field of complex structural analysis many researchers pursue this challenging task. The complexity of a lattice type structure is caused by numerous parameters: the nonlinear member performance of the material, the statistical variation of member load capacities, the highly indeterminate structural composition, etc. In order to achieve a simulation approach which represents the real world problem more accurately, it is necessary to develop technologies which include these parameters in the analysis. One of the new technologies is the first order nonlinear analysis of lattice type structures including the after failure response of individual members. Such an analysis is able to predict the failure behavior of a structural system under ultimate loads more accurately than the traditionally used linear elastic analysis or a classical first order nonlinear analysis. It is an analysis procedure which can more accurately evaluate the limit-state of a structural system. The Probability Based Analysis (PBA) is a new technology. It provides the user with a tool to analyze structural systems based on statistical variations in member capacities. Current analysis techniques have shown that structural failure is sensitive to member capacity. The combination of probability based analysis and the limit-state analysis will give the engineer the capability to establish a failure load distribution based on the limit-state capacity of the structure. This failure load distribution which gives statistical properties such as mean and variance improves the engineering judgment. The mean shows the expected value or the mathematical expectation of the failure load. The variance is a tool to measure the variability of the failure load distribution. Based on a certain load case, a small variance will indicate that a few members cause the tower failure over and over again; the design is unbalanced. A large variance will indicate that many different members caused the tower failure. The failure load distribution helps in comparing and evaluating actual test results versus analytical results by locating an actual test among the possible failure loads of a tower series. Additionally, the failure load distribution allows the engineer to calculate exclusion limits which are a measure of the probability of success, or conversely the probability of failure for a given load condition. The exclusion limit allows engineers to redefine their judgement on safety and usability of transmission towers. Existing transmission towers can be reanalyzed using this PBA and upgraded based on a given exclusion limit for a chosen tower capacity increase according to the elastic analysis from which the tower was designed. New transmission towers can be analyzed based on the actual yield strength data and their nonlinear member performances. Based on this innovative analysis the engineer is able to improve tower design by using a tool which represents the real world behavior of steel transmission towers more accurately. Consequently it will improve structural safety and reduce cost.
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Farashi, Samaneh. "Identification and characterisation of prostate cancer-associated genetic variations modulating the miRNA regulome." Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/210596/1/Samaneh_Farashi_Thesis.pdf.

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This thesis has studied the genetic regions that are associated with the risk of prostate cancer. The results from this thesis provide insights into causative miRNA genes that contribute to prostate cancer. The identified prostate cancer risk regions in the genome have valuable potential in utilising in investigating pathogenic mechanisms in prostate cancer. This greatly helps with a broader range of treatment options according to the targetable gene networks and pathways. As the elderly population increases in Australia, the social and economic consequences of prostate cancer will increase unless successful means of prevention or treatment are found.
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Pinzone, Cheryl Ann. "Geographic variation in post-mating immune gene expression in Drosophila melanogaster." Master's thesis, University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4586.

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An organism's immune response may vary due to pathogen pressure in its environment, as well as due to interactions with other organisms. These factors, along with geographic rules (i.e. Gloger's rule) may influence the geographic distribution of the immune response within populations of a species. Here we use real-time quantitative PCR to measure the immune gene expression in six populations collected along the eastern U.S. of Drosophila melanogaster after mating. Antimicrobial genes did not show significant differences in expression due to location, whereas we did observe differences in anti-fungal and pro-phenoloxidase (anti-macromolecule) related genes. These differences in anti-macromolecule resistance are correlated with the latitude of the population opposite of which we would expect by Gloger's rule. We also determined that males and females from different populations tended to drive the differences we detected. Taken together, these results suggest that geographic factors influence genes involved in fungal and macro-pathogens defense post-mating.
ID: 028916963; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Thesis (M.S.)--University of Central Florida, 2010.; Includes bibliographical references (p. 33-36).
M.S.
Masters
Department of Biology
Sciences
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Books on the topic "Pose variations"

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1950-, Lucchetti R., and Revalski Julian, eds. Recent developments in well-posed variational problems. Dordrecht: Kluwer Academic Publishers, 1995.

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Lucchetti, Roberto, and Julian Revalski, eds. Recent Developments in Well-Posed Variational Problems. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8472-2.

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Théra, Michel, and Rainer Tichatschke, eds. Ill-posed Variational Problems and Regularization Techniques. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-45780-7.

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Geomagnitnoe pole vo vremi͡a︡ inversiĭ v pozdnem kaĭnozoe. Moskva: "Nauka", 1988.

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Gilbert, Rozman, Satō Seizaburō 1932-, and Segal Gerald 1953-, eds. Dismantling communism: Common causes and regional variations. Washington, D.C: Woodrow Wilson Center Press, 1992.

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Kaplan, Alexander. Stable methods for ill-posed variational problems: Prox-regularization of elliptic variational inequalities and semi-infinite problems. Berlin: Akademie Verlag, 1994.

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Workshop, on Ill-Posed Variational Problems and Regulation Techniques (1998 Trier Germany). Ill-posed variational problems and regularization techniques: Proceedings fo the "Workshop on Ill-Posed Variational Problems and Regulation Techniques" held at the University of Trier, September 3-5, 1998. Berlin: Springer, 1999.

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J, Roth Don, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., eds. Quantitative mapping of pore fraction variations in silicon nitride using an ultrasonic contact scan technique. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1993.

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Plag, Hans-Peter. A Regional study of Norwegian coastal long-period sea-level variations and their causes: With special emphasis on the pole tide. Berlin: Reimer, 1988.

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J, Massey Andrew, Campo K. W, United States. Environmental Protection Agency., and Geological Survey (U.S.), eds. Pushpoint sampling for defining spatial and temporal variations in contaminant concentrations in sediment pore water near the ground-water/surface-water interface. Reston, Va: U.S. Geological Survey, 2005.

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Book chapters on the topic "Pose variations"

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Zhang, Wuming, Di Huang, Yunhong Wang, and Liming Chen. "3D Aided Face Recognition across Pose Variations." In Biometric Recognition, 58–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35136-5_8.

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Rodríguez-Aragón, Licesio J., Ángel Serrano, Cristina Conde, and Enrique Cabello. "Spatial Approach to Pose Variations in Face Verification." In Lecture Notes in Computer Science, 351–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11552253_32.

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Trad, Chadi, Hazem Hajj, Wassim El-Hajj, and Fatima Al-Jamil. "Facial Action Unit and Emotion Recognition with Head Pose Variations." In Advanced Data Mining and Applications, 383–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35527-1_32.

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Dibeklioğlu, Hamdi, Berk Gökberk, and Lale Akarun. "Nasal Region-Based 3D Face Recognition under Pose and Expression Variations." In Advances in Biometrics, 309–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01793-3_32.

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Jiang, Xiaoyue, Yaping Hou, Dong Zhang, and Xiaoyi Feng. "Deep Learning in Face Recognition Across Variations in Pose and Illumination." In Deep Learning in Object Detection and Recognition, 59–90. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-10-5152-4_3.

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Karanwal, Shekhar. "Fused Local Pattern (FLP): A Novel Local Descriptor in Pose Variations." In Lecture Notes in Networks and Systems, 590–96. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-27524-1_56.

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Das, Amitava, Manoj Balwani, Rahul Thota, and Prasanta Ghosh. "Face Recognition from Images with High Pose Variations by Transform Vector Quantization." In Computer Vision, Graphics and Image Processing, 674–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11949619_60.

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Duth, P. Sudharshan, and N. L. Reshma. "Multi-Person Face Recognition Across Variations in Pose Using Deep Learning Techniques." In Data Intelligence and Cognitive Informatics, 371–82. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6460-1_28.

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Tai, Ying, Jian Yang, Lei Luo, and Jianjun Qian. "Orthogonal Procrustes Problem Based Regression with Application to Face Recognition with Pose Variations." In Lecture Notes in Computer Science, 11–19. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23989-7_2.

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Kian Ara, Rouhollah, and Andrzej Matiolanski. "Crowd Density Estimation Based on Face Detection Under Significant Occlusions and Head Pose Variations." In Communications in Computer and Information Science, 209–22. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59000-0_16.

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Conference papers on the topic "Pose variations"

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Casasent, David P., and Ashit Talukder. "Face recognition with pose variations." In Intelligent Systems and Smart Manufacturing, edited by David P. Casasent. SPIE, 2000. http://dx.doi.org/10.1117/12.403751.

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Yao, Wang, Viktor Varkarakis, Joseph Lemley, and Peter Corcoran. "On the Feasibility of Privacy-Secured Facial Authentication for low-power IoT Devices - Quantifying the Effects of Head Pose Variation on End-to-End Neural Face Recognition." In 24th Irish Machine Vision and Image Processing Conference. Irish Pattern Recognition and Classification Society, 2022. http://dx.doi.org/10.56541/fevr2516.

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Recent low-power neural accelerator hardware provides a solution for end-to-end privacy and secure facial authentication, such as smart refueling machine locks in shared accommodation, smart speakers, or televisions that respond only to family members. This work explores the impact that head pose variation has on the performance of a state-of-the-art face recognition model. A synthetic technique is employed to introduce head pose variation into data samples. Experiments show that the synthetic pose variations have a similar effect on face recognition performance as the real samples with pose variations. The impact of large variations of head poses on the face recognizer was then explored by further amplifying the angle of the synthetic head pose. It is found that the accuracy of the face recognition model deteriorates as the pose increases. After fine-tuning the network, the face recognition model achieves close to the accuracy of frontal faces in all pose variations, indicating that the face recognition model can be tuned to compensate for the effect of large poses.
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Hewitt, Charlie, and Marwa Mahmoud. "Pose-Informed Face Alignment for Extreme Head Pose Variations in Animals." In 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII). IEEE, 2019. http://dx.doi.org/10.1109/acii.2019.8925472.

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Sarode, Jagdish P., and Alwin D. Anuse. "A framework for face classification under pose variations." In 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI). IEEE, 2014. http://dx.doi.org/10.1109/icacci.2014.6968322.

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Kanhangad, Vivek, Ajay Kumar, and David Zhang. "Human hand identification with 3D hand pose variations." In 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops). IEEE, 2010. http://dx.doi.org/10.1109/cvprw.2010.5543236.

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Alafif, Tarik, Zeyad Hailat, Melih Aslan, and Xuewen Chen. "On Detecting Partially Occluded Faces with Pose Variations." In 2017 14th International Symposium on Pervasive Systems, Algorithms and Networks (ISPAN), 2017 11th International Conference on Frontiers of Computer Science and Technology (FCST), & 2017 Third International Symposium of Creative Computing (ISCC). IEEE, 2017. http://dx.doi.org/10.1109/ispan-fcst-iscc.2017.16.

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Bichwe, Madhavi R., and Ranjana Shende. "Face recognition in a video by pose variations." In 2015 International Conference on Computer, Communication and Control (IC4). IEEE, 2015. http://dx.doi.org/10.1109/ic4.2015.7375659.

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Xiaozheng Zhang, Sanqiang Zhao, and Yongsheng Gao. "On averaging face images for recognition under pose variations." In 2008 19th International Conference on Pattern Recognition (ICPR). IEEE, 2008. http://dx.doi.org/10.1109/icpr.2008.4761890.

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Choi, Sang-Il, and Chong-Ho Choi. "An Effective Face Recognition under Illumination and Pose Variations." In 2007 International Joint Conference on Neural Networks. IEEE, 2007. http://dx.doi.org/10.1109/ijcnn.2007.4371080.

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Dibeklioglu, Hamdi, Albert Ali Salah, and Lale Akarun. "3D Facial Landmarking under Expression, Pose, and Occlusion Variations." In 2008 IEEE Second International Conference on Biometrics: Theory, Applications and Systems. IEEE, 2008. http://dx.doi.org/10.1109/btas.2008.4699324.

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Reports on the topic "Pose variations"

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Bathon, Leander. Probabilistic Determination of Failure Load Capacity Variations for Lattice Type Structures Based on Yield Strength Variations including Nonlinear Post-Buckling Member Performance. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.1224.

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Hammond Espinosa, Frank William, and Catalina Sbert Juan. A Nonlocal Variational Model for Retinex Image Decomposition. Fundación Avanza, May 2023. http://dx.doi.org/10.60096/fundacionavanza/2122022.

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In this work, we propose a variational model to solve the ill-posed inverse problem of estimating luminance and reflectance from a given observation. A theoretical analysis of the resulting energy functional is provided.
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Ayres, João, Arturo Galindo, Santiago Novoa, and Victoria Nuguer. Inflation Dynamics in Latin America and the Caribbean. Inter-American Development Bank, March 2023. http://dx.doi.org/10.18235/0004751.

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We perform a principal component analysis of the inflation dynamics in Latin America and the Caribbean to assess the recent surge in inflation across the region. The principal component accounts for 57% of the variation in inflation in the last 17 years, and it is highly correlated to the principal components of inflation of country groups outside the region, especially post-COVID-19. Global factors such as US inflation, commodity prices, and international shipping costs can account for at least one-third of the variation of the principal component. The analysis implies that external factors are major drivers of the surge in inflation in the region post-COVID-19 lockdowns.
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Yerkes, Kirk L., and Kelli Ashbrook. Analytical Study: Temperature Variation Across the Heated Surface of a Post with Convective Sidewall Cooling (Preprint). Fort Belvoir, VA: Defense Technical Information Center, April 2012. http://dx.doi.org/10.21236/ada559919.

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SUETNOVA, Elena, and Vladimir CHERNIAVSKY. DIFFERENCES OF VISCOSITY OF ACCUMULATED SEDIMENTARY LAYERS AS A REASON OF POROSITY AND PORE PRESSURE VARIATIONS IN BASIN FILL. Cogeo@oeaw-giscience, September 2011. http://dx.doi.org/10.5242/iamg.2011.0139.

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Peitz, David, and Naomi Reibold. White-tailed deer monitoring at Arkansas Post National Memorial, Arkansas: 2005–2020 trend report. Edited by Tani Hubbard. National Park Service, April 2021. http://dx.doi.org/10.36967/nrr-2285087.

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From 16 years (2005–2020) of monitoring trends in white-tailed deer within a defined survey area of Arkansas Post National Memorial, we have been able to demonstrate both population declines and recoveries. The adjusted count of deer had a seven-fold increase between 2007 and 2011 following a two-year decline and a three-fold increase between 2017 and 2019 following a six-year decline. Overall, the deer population has declined slightly, averaging a 0.5% reduction in herd size annually. The number of deer in the survey area ranged from 16.77 ± 21.26 (mean + 95% CI) individuals/km2 in 2007 to 118.95 ± 39.03 individuals/km2 in 2011. The amount of visible area surveyed each year varied between 0.25 and 0.47 km2 (coefficient of variation = 16.47%). If the white-tailed deer population becomes too large, this poses several problems for Arkansas Post National Memorial. First, it adds a level of complexity to implementing active natural resource management critical to preventing the cultural landscapes of Arkansas Post National Memorial from changing into something that has little resemblance to the historical character of the park. Deer deferentially browse native vegetation over exotic vegetation, thus promoting the spread of exotic species, and the success of tree planting can be curtailed by heavy deer browsing. Second, controlling deer related disease, some of which can affect domestic livestock and human health in and around the park, becomes increasingly difficult when there are more deer. Third, as additional ancillary data suggests, the largely unreported and costly deer-vehicle collisions in and around Arkansas Post National Memorial have the potential to increase if the deer populations grow.
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Dudley, Alexandra, Jennifer Phillips, and Jennifer Cissé. Gender considerations for disaster risk financing in Fiji. United Nations University - Institute for Environment and Human Security (UNU-EHS), March 2023. http://dx.doi.org/10.53324/jrhs3912.

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This policy report highlights the disparate impacts of extreme weather events on men and women in Fiji. It emphasizes the need to consider gender differences in education, employment, income, and household relations when designing strategies and disaster risk financing initiatives to improve the financial preparedness against climate shocks in Fiji. Additionally, the report explores variations in financial instrument usage, gender-differentiated post-disaster coping mechanisms and demonstrates the correlation between extreme weather events and gender-based violence.
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Alenezi, Ali, Athary Saleem, Hamad Alajmi, Dalal Al Husainan, Odai Al Shadifat, and Ahmed Bader. Intraoperatively Diagnosed Double Cystic Duct During Laparoscopic Cholecystectomy: A Case Report of a Surgical Dilemma for the Operating Surgeons. Science Repository, April 2024. http://dx.doi.org/10.31487/j.ajscr.2024.01.04.

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Introduction and Importance: A double cystic duct with a single gallbladder is one of the extremely uncommon variations of the cystic duct and only a few cases were reported in literature. Case Presentation: A 33-year-old female, with an unremarkable medical history, presented to the emergency department with a 2-day history of right upper quadrant abdominal (RUQ) pain. The abdominal pain was gradually increasing in intensity radiating to the back and was associated with anorexia and multiple episodes of vomiting. Abdominal examination revealed RUQ pain and tenderness. Abdominal ultrasonography was performed, showing a markedly distended gallbladder with evidence of a few calculi one of which was impacted at the neck. laparoscopic cholecystectomy was done within 2 days of admission during which another luminal structure was identified that suggested a double cystic duct. Clinical Discussion: Anomalies of the biliary tree are common with the classical anatomical picture presenting in only 33% of cholecystectomy cases. However, the presence of a double cystic duct is a rare variation, especially in the case of a single gallbladder. The identification of such anomaly can be achieved preoperatively using imaging modalities or it can be identified during the surgical procedure itself. such identification reduces the chances of postoperative comorbidities. Conclusion: Pre-operative identification of biliary tract anomalies by different imaging modalities is limited. Hence the importance of cautiousness and achieving a proper critical view of safety intra-operatively to prevent possible complications intra- and post-operatively. Our case report emphasizes the diagnostic and surgical challenges of the double cystic duct.
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Crosignani, Matteo, and Hanh Le. Stakeholders’ Aversion to Inequality and Bank Lending to Minorities. Federal Reserve Bank of New York, November 2023. http://dx.doi.org/10.59576/sr.1079.

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We find that banks differ in their propensity to lend to minorities based on their stakeholders’ aversion to inequality. Using mortgage application data collected under the Home Mortgage Disclosure Act, we document a large and persistent cross-sectional variation in banks’ propensity to lend to minorities. Inequality-averse banks have a higher propensity to lend to borrowers in high-minority areas and, within census tracts, to non-white borrowers compared to other banks. This higher propensity (i) is not explained by selection of applicants, (ii) allows these banks to retain and attract their inequality-averse stakeholders, and (iii) does not predict worse ex-post loan performance.
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Filmer, Deon. Long-Lived Consequences of Rapid Scale-Up? The Case of Free Primary Education in Six Sub-Saharan African Countries. Research on Improving Systems of Education (RISE), February 2023. http://dx.doi.org/10.35489/bsg-rise-wp_2023/128.

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Across six Sub-Saharan African countries, grade 4 students of teachers who were hired after a free primary education reform perform worse, on average, on language and math tests—statistically significantly so in language—than students of teachers who were hired before the reform. Teachers who were hired just after the reform also perform worse, on average, on tests of subject content knowledge than those hired before the reform. The results are sensitive to the time frames considered in the analysis, and aggregate results mask substantial variation across countries—gaps are large and significant in some countries but negligible in others. Analysis of teacher demographic and education characteristics—including education level or teacher certification—as well as teacher classroom-level behaviors reveals few systematic differences associated with being hired pre- or post-reform.
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