Littérature scientifique sur le sujet « Joint clustering with alignment »
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Articles de revues sur le sujet "Joint clustering with alignment"
Deng, Wanxia, Qing Liao, Lingjun Zhao, Deke Guo, Gangyao Kuang, Dewen Hu et Li Liu. « Joint Clustering and Discriminative Feature Alignment for Unsupervised Domain Adaptation ». IEEE Transactions on Image Processing 30 (2021) : 7842–55. http://dx.doi.org/10.1109/tip.2021.3109530.
Texte intégralSamuroff, S., J. Blazek, M. A. Troxel, N. MacCrann, E. Krause, C. D. Leonard, J. Prat et al. « Dark Energy Survey Year 1 results : constraints on intrinsic alignments and their colour dependence from galaxy clustering and weak lensing ». Monthly Notices of the Royal Astronomical Society 489, no 4 (16 août 2019) : 5453–82. http://dx.doi.org/10.1093/mnras/stz2197.
Texte intégralMurillo-Vizuete, David, Raul Garcia-Bogalo, David Escobar-Anton, Lissette Horna-Castiñeiras, Juan Peralta-Molero et Ricardo Larrainzar-Garijo. « Dynamic Alignment Analysis in the Osteoarthritic Knee Using Computer Navigation ». Journal of Knee Surgery 30, no 09 (13 février 2017) : 909–15. http://dx.doi.org/10.1055/s-0037-1598037.
Texte intégralYu, Jixiang, Nanjun Chen, Ming Gao, Xiangtao Li et Ka-Chun Wong. « Unsupervised Gene-Cell Collective Representation Learning with Optimal Transport ». Proceedings of the AAAI Conference on Artificial Intelligence 38, no 1 (24 mars 2024) : 356–64. http://dx.doi.org/10.1609/aaai.v38i1.27789.
Texte intégralEl-Melegy, Moumen, Rasha Kamel, Mohamed Abou El-Ghar, Nora S. Alghamdi et Ayman El-Baz. « Variational Approach for Joint Kidney Segmentation and Registration from DCE-MRI Using Fuzzy Clustering with Shape Priors ». Biomedicines 11, no 1 (21 décembre 2022) : 6. http://dx.doi.org/10.3390/biomedicines11010006.
Texte intégralHuang, Weinan, Xiaowen Zhu, Haofeng Xia et Kejian Wu. « Offshore Wind Energy Assessment with a Clustering Approach to Mixture Model Parameter Estimation ». Journal of Marine Science and Engineering 11, no 11 (28 octobre 2023) : 2060. http://dx.doi.org/10.3390/jmse11112060.
Texte intégralEifler, Tim, Melanie Simet, Elisabeth Krause, Christopher Hirata, Hung-Jin Huang, Xiao Fang, Vivian Miranda et al. « Cosmology with the Roman Space Telescope : synergies with the Rubin Observatory Legacy Survey of Space and Time ». Monthly Notices of the Royal Astronomical Society 507, no 1 (1 mars 2021) : 1514–27. http://dx.doi.org/10.1093/mnras/stab533.
Texte intégralMiao, Xia, Ziyao Yu et Ming Liu. « Using Partial Differential Equation Face Recognition Model to Evaluate Students’ Attention in a College Chinese Classroom ». Advances in Mathematical Physics 2021 (11 octobre 2021) : 1–10. http://dx.doi.org/10.1155/2021/3950445.
Texte intégralNau, T., S. Cutts et N. Naidoo. « DNA METHYLATION AND ITS INFLUENCE ON THE PATHOGENESIS OF OSTEOARTHRITIS : A SYSTEMATIC LITERATURE REVIEW ». Orthopaedic Proceedings 105-B, SUPP_8 (11 avril 2023) : 127. http://dx.doi.org/10.1302/1358-992x.2023.8.127.
Texte intégralSangalli, Laura M., Piercesare Secchi, Simone Vantini et Valeria Vitelli. « -mean alignment for curve clustering ». Computational Statistics & ; Data Analysis 54, no 5 (mai 2010) : 1219–33. http://dx.doi.org/10.1016/j.csda.2009.12.008.
Texte intégralThèses sur le sujet "Joint clustering with alignment"
Arsenteva, Polina. « Statistical modeling and analysis of radio-induced adverse effects based on in vitro and in vivo data ». Electronic Thesis or Diss., Bourgogne Franche-Comté, 2023. http://www.theses.fr/2023UBFCK074.
Texte intégralIn this work we address the problem of adverse effects induced by radiotherapy on healthy tissues. The goal is to propose a mathematical framework to compare the effects of different irradiation modalities, to be able to ultimately choose those treatments that produce the minimal amounts of adverse effects for potential use in the clinical setting. The adverse effects are studied in the context of two types of data: in terms of the in vitro omic response of human endothelial cells, and in terms of the adverse effects observed on mice in the framework of in vivo experiments. In the in vitro setting, we encounter the problem of extracting key information from complex temporal data that cannot be treated with the methods available in literature. We model the radio-induced fold change, the object that encodes the difference in the effect of two experimental conditions, in the way that allows to take into account the uncertainties of measurements as well as the correlations between the observed entities. We construct a distance, with a further generalization to a dissimilarity measure, allowing to compare the fold changes in terms of all the important statistical properties. Finally, we propose a computationally efficient algorithm performing clustering jointly with temporal alignment of the fold changes. The key features extracted through the latter are visualized using two types of network representations, for the purpose of facilitating biological interpretation. In the in vivo setting, the statistical challenge is to establish a predictive link between variables that, due to the specificities of the experimental design, can never be observed on the same animals. In the context of not having access to joint distributions, we leverage the additional information on the observed groups to infer the linear regression model. We propose two estimators of the regression parameters, one based on the method of moments and the other based on optimal transport, as well as the estimators for the confidence intervals based on the stratified bootstrap procedure
Gao, Zhiming. « Reducing the Search Space of Ontology Alignment Using Clustering Techniques ». Thesis, Linköpings universitet, Databas och informationsteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-141887.
Texte intégralAminu, M. (Mubarak). « Dynamic clustering for coordinated multipoint transmission with joint prosessing ». Master's thesis, University of Oulu, 2016. http://urn.fi/URN:NBN:fi:oulu-201602111176.
Texte intégralCostigan, Patrick Allan. « Gait and lower limb alignment in patellofemoral joint pain syndrome ». Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/nq22451.pdf.
Texte intégralWhite, Derek A. « Factors affecting changes in joint alignment following knee osteotomy surgery ». Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/MQ63389.pdf.
Texte intégralNunes, Neuza Filipa Martins. « Algorithms for time series clustering applied to biomedical signals ». Master's thesis, Faculdade de Ciências e Tecnologia, 2011. http://hdl.handle.net/10362/5666.
Texte intégralThe increasing number of biomedical systems and applications for human body understanding creates a need for information extraction tools to use in biosignals. It’s important to comprehend the changes in the biosignal’s morphology over time, as they often contain critical information on the condition of the subject or the status of the experiment. The creation of tools that automatically analyze and extract relevant attributes from biosignals, providing important information to the user, has a significant value in the biosignal’s processing field. The present dissertation introduces new algorithms for time series clustering, where we are able to separate and organize unlabeled data into different groups whose signals are similar to each other. Signal processing algorithms were developed for the detection of a meanwave, which represents the signal’s morphology and behavior. The algorithm designed computes the meanwave by separating and averaging all cycles of a cyclic continuous signal. To increase the quality of information given by the meanwave, a set of wave-alignment techniques was also developed and its relevance was evaluated in a real database. To evaluate our algorithm’s applicability in time series clustering, a distance metric created with the information of the automatic meanwave was designed and its measurements were given as input to a K-Means clustering algorithm. With that purpose, we collected a series of data with two different modes in it. The produced algorithm successfully separates two modes in the collected data with 99.3% of efficiency. The results of this clustering procedure were compared to a mechanism widely used in this area, which models the data and uses the distance between its cepstral coefficients to measure the similarity between the time series.The algorithms were also validated in different study projects. These projects show the variety of contexts in which our algorithms have high applicability and are suitable answers to overcome the problems of exhaustive signal analysis and expert intervention. The algorithms produced are signal-independent, and therefore can be applied to any type of signal providing it is a cyclic signal. The fact that this approach doesn’t require any prior information and the preliminary good performance make these algorithms powerful tools for biosignals analysis and classification.
Tachibana, Kanta, Takeshi Furuhashi, Tomohiro Yoshikawa, Eckhard Hitzer et MINH TUAN PHAM. « Clustering of Questionnaire Based on Feature Extracted by Geometric Algebra ». 日本知能情報ファジィ学会, 2008. http://hdl.handle.net/2237/20676.
Texte intégralJoint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on advanced Intelligent Systems, September 17-21, 2008, Nagoya University, Nagoya, Japan
Hasnat, Md Abul. « Unsupervised 3D image clustering and extension to joint color and depth segmentation ». Thesis, Saint-Etienne, 2014. http://www.theses.fr/2014STET4013/document.
Texte intégralAccess to the 3D images at a reasonable frame rate is widespread now, thanks to the recent advances in low cost depth sensors as well as the efficient methods to compute 3D from 2D images. As a consequence, it is highly demanding to enhance the capability of existing computer vision applications by incorporating 3D information. Indeed, it has been demonstrated in numerous researches that the accuracy of different tasks increases by including 3D information as an additional feature. However, for the task of indoor scene analysis and segmentation, it remains several important issues, such as: (a) how the 3D information itself can be exploited? and (b) what is the best way to fuse color and 3D in an unsupervised manner? In this thesis, we address these issues and propose novel unsupervised methods for 3D image clustering and joint color and depth image segmentation. To this aim, we consider image normals as the prominent feature from 3D image and cluster them with methods based on finite statistical mixture models. We consider Bregman Soft Clustering method to ensure computationally efficient clustering. Moreover, we exploit several probability distributions from directional statistics, such as the von Mises-Fisher distribution and the Watson distribution. By combining these, we propose novel Model Based Clustering methods. We empirically validate these methods using synthetic data and then demonstrate their application for 3D/depth image analysis. Afterward, we extend these methods to segment synchronized 3D and color image, also called RGB-D image. To this aim, first we propose a statistical image generation model for RGB-D image. Then, we propose novel RGB-D segmentation method using a joint color-spatial-axial clustering and a statistical planar region merging method. Results show that, the proposed method is comparable with the state of the art methods and requires less computation time. Moreover, it opens interesting perspectives to fuse color and geometry in an unsupervised manner. We believe that the methods proposed in this thesis are equally applicable and extendable for clustering different types of data, such as speech, gene expressions, etc. Moreover, they can be used for complex tasks, such as joint image-speech data analysis
Fahrni, Angela Petra [Verfasser], et Michael [Akademischer Betreuer] Strube. « Joint Discourse-aware Concept Disambiguation and Clustering / Angela Petra Fahrni ; Betreuer : Michael Strube ». Heidelberg : Universitätsbibliothek Heidelberg, 2016. http://d-nb.info/1180614704/34.
Texte intégralColes, Lisa. « Functional kinematic study of knee replacement : the effect of implant design and alignment on the patellofemoral joint ». Thesis, University of Bath, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.642032.
Texte intégralLivres sur le sujet "Joint clustering with alignment"
Physician integration & alignment : IPA, PHO, ACOS and beyond. Boca Raton : Taylor & Francis, 2013.
Trouver le texte intégralCommission, Kenya Human Rights. Harmonization of decentralized development in Kenya : Towards alignment, citizen engagement, and enhanced accountability : a joint research report. 2e éd. Nairobi] : KHRC, 2010.
Trouver le texte intégralNCCER. 29110-09 Joint Fit-Up and Alignment. Pearson Education, Limited, 2009.
Trouver le texte intégralNCCER. 29109-03 Joint Fit-Up and Alignment IG. Pearson Education, Limited, 2003.
Trouver le texte intégralNCCER. 29109-03 Joint Fit-up and Alignment TG. Pearson Education, Limited, 2003.
Trouver le texte intégralNCCER. 29110-14 Joint Fit-Up and Alignment Trainee Guide. Pearson Education, Limited, 2015.
Trouver le texte intégralNCCER. ES29110-09 Joint Fit-Up and Alignment Trainee Guide in Spanish. Pearson, 2013.
Trouver le texte intégralTodd, Maria K. Physician Integration and Alignment : IPA, PHO, ACOs, and Beyond. Productivity Press, 2012.
Trouver le texte intégralTodd, Maria K. Physician Integration and Alignment : IPA, PHO, ACOs, and Beyond. Productivity Press, 2012.
Trouver le texte intégralThe effects of fixed and hinged ankle foot orthoses on gait myoelectric activity and standing joint alignment in children with cerebral palsy. 1990.
Trouver le texte intégralChapitres de livres sur le sujet "Joint clustering with alignment"
Sangalli, Laura M., Piercesare Secchi, Simone Vantini et Valeria Vitelli. « Joint Clustering and Alignment of Functional Data : An Application to Vascular Geometries ». Dans Advanced Statistical Methods for the Analysis of Large Data-Sets, 33–43. Berlin, Heidelberg : Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21037-2_4.
Texte intégralChatain, Thomas, Josep Carmona et Boudewijn van Dongen. « Alignment-Based Trace Clustering ». Dans Conceptual Modeling, 295–308. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69904-2_24.
Texte intégralEvermann, Joerg, Tom Thaler et Peter Fettke. « Clustering Traces Using Sequence Alignment ». Dans Business Process Management Workshops, 179–90. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42887-1_15.
Texte intégralChen, Dong, Shaoqing Ren, Yichen Wei, Xudong Cao et Jian Sun. « Joint Cascade Face Detection and Alignment ». Dans Computer Vision – ECCV 2014, 109–22. Cham : Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10599-4_8.
Texte intégralDu, Liang, et Yi-Dong Shen. « Joint Clustering and Feature Selection ». Dans Web-Age Information Management, 241–52. Berlin, Heidelberg : Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38562-9_25.
Texte intégralMori, Yuichi, Masahiro Kuroda et Naomichi Makino. « Joint Dimension Reduction and Clustering ». Dans Nonlinear Principal Component Analysis and Its Applications, 57–64. Singapore : Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0159-8_6.
Texte intégralHu, Tianming, Liping Liu, Chao Qu et Sam Yuan Sung. « Joint Cluster Based Co-clustering for Clustering Ensembles ». Dans Advanced Data Mining and Applications, 284–95. Berlin, Heidelberg : Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11811305_32.
Texte intégralBlakeney, William G., et Pascal-André Vendittoli. « Restricted Kinematic Alignment : The Ideal Compromise ? » Dans Personalized Hip and Knee Joint Replacement, 197–206. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-24243-5_17.
Texte intégralAmbra, Luiz Felipe, Andreas H. Gomoll et Jack Farr. « Coronal and Axial Alignment : The Effects of Malalignment ». Dans Joint Preservation of the Knee, 41–56. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-01491-9_3.
Texte intégralZafeiriou, Lazaros, Epameinondas Antonakos, Stefanos Zafeiriou et Maja Pantic. « Joint Unsupervised Face Alignment and Behaviour Analysis ». Dans Computer Vision – ECCV 2014, 167–83. Cham : Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10593-2_12.
Texte intégralActes de conférences sur le sujet "Joint clustering with alignment"
Wang, Siwei, Xinwang Liu, En Zhu, Chang Tang, Jiyuan Liu, Jingtao Hu, Jingyuan Xia et Jianping Yin. « Multi-view Clustering via Late Fusion Alignment Maximization ». Dans Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California : International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/524.
Texte intégralLiu, Teng L., Yu Zhang et Jonathan H. Dennis. « Joint clustering and alignment for nucleosome occupancy analysis ». Dans 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW). IEEE, 2012. http://dx.doi.org/10.1109/bibmw.2012.6470269.
Texte intégralLi, Qi, Zhenan Sun, Ran He et Tieniu Tan. « Joint Alignment and Clustering via Low-Rank Representation ». Dans 2013 2nd IAPR Asian Conference on Pattern Recognition (ACPR). IEEE, 2013. http://dx.doi.org/10.1109/acpr.2013.66.
Texte intégralBen Halima, Slim, et Ahmed Saadani. « Joint clustering and interference alignment for overloaded femtocell networks ». Dans 2012 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2012. http://dx.doi.org/10.1109/wcnc.2012.6213965.
Texte intégralLiu, Rui, Wei Cheng, Hanghang Tong, Wei Wang et Xiang Zhang. « Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment ». Dans 2015 IEEE International Conference on Data Mining (ICDM). IEEE, 2015. http://dx.doi.org/10.1109/icdm.2015.13.
Texte intégralZeng, Xiangrui, Gregory Howe et Min Xu. « End-to-end robust joint unsupervised image alignment and clustering ». Dans 2021 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2021. http://dx.doi.org/10.1109/iccv48922.2021.00383.
Texte intégralLin, Fangfei, Bing Bai, Kun Bai, Yazhou Ren, Peng Zhao et Zenglin Xu. « Contrastive Multi-view Hyperbolic Hierarchical Clustering ». Dans Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California : International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/451.
Texte intégralWang, Fang, Yongqiang Xie, Kai Zhang et Rui Xia. « A Joint Model of Adaptive Clustering and Multi-kernel Learning for Entity Alignment ». Dans BDSIC 2021 : 2021 3rd International Conference on Big-data Service and Intelligent Computation. New York, NY, USA : ACM, 2021. http://dx.doi.org/10.1145/3502300.3502313.
Texte intégralHu, Menglei, et Songcan Chen. « Doubly Aligned Incomplete Multi-view Clustering ». Dans Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California : International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/313.
Texte intégralZhai, Yuyao, Liang Chen et Minghua Deng. « Realistic Cell Type Annotation and Discovery for Single-cell RNA-seq Data ». Dans Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California : International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/552.
Texte intégralRapports d'organisations sur le sujet "Joint clustering with alignment"
Shaver, Charles. Comparative Analysis of Tier 1 Joint Capability Area (JCA) Alignment with Joint Functions. Fort Belvoir, VA : Defense Technical Information Center, décembre 2010. http://dx.doi.org/10.21236/ada537302.
Texte intégralHaigh, Susan, et Mary Lee Kennedy. Observations on Research Libraries’ Alignment with Institutional STEM Priorities / Observations quant à l’alignement des bibliothèques de recherche sur les priorités institutionnelles en STIM. Association of Research Libraries and Canadian Association of Research Libraries, mai 2023. http://dx.doi.org/10.29242/report.stem2023.
Texte intégralBergsen, Pepijn, Carolina Caeiro, Harriet Moynihan, Marianne Schneider-Petsinger et Isabella Wilkinson. Digital trade and digital technical standards. Royal Institute of International Affairs, janvier 2022. http://dx.doi.org/10.55317/9781784135133.
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