Bibliographies thématiques / On-line classification

Littérature scientifique sur le sujet « On-line classification »

Auteur : Grafiati
Publié le 10 mars 2023

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Articles de revues sur le sujet "On-line classification"

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HIRAJIMA, Tsuyoshi, Kenji KATAOKA, Takuji NISHIDA, Ryutaro TOSHIMA et Masami TSUNEKAWA. « On-line Monitoring for Air Classification. » Shigen-to-Sozai 118, no 10/11 (2002) : 681–86. http://dx.doi.org/10.2473/shigentosozai.118.681.

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Kim, Daehak, KwangSik Oh et Jooyong Shim. « On Line LS-SVM for Classification ». Communications for Statistical Applications and Methods 10, no 2 (1 août 2003) : 595–601. http://dx.doi.org/10.5351/ckss.2003.10.2.595.

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Borghese, N. Alberto, et Manuele Fomasi. « Automatic Defect Classification on a Production Line ». Intelligent Industrial Systems 1, no 4 (14 juillet 2015) : 373–93. http://dx.doi.org/10.1007/s40903-015-0018-5.

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Kijima, Hiroaki, Shin Yamada, Natsuo Konishi, Hitoshi Kubota, Hiroshi Tazawa, Takayuki Tani, Norio Suzuki et al. « The Reliability of Classifications of Proximal Femoral Fractures with 3-Dimensional Computed Tomography : The New Concept of Comprehensive Classification ». Advances in Orthopedics 2014 (2014) : 1–5. http://dx.doi.org/10.1155/2014/359689.

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The reliability of proximal femoral fracture classifications using 3DCT was evaluated, and a comprehensive “area classification” was developed. Eleven orthopedists (5–26 years from graduation) classified 27 proximal femoral fractures at one hospital from June 2013 to July 2014 based on preoperative images. Various classifications were compared to “area classification.” In “area classification,” the proximal femur is divided into 4 areas with 3 boundary lines: Line-1 is the center of the neck, Line-2 is the border between the neck and the trochanteric zone, and Line-3 links the inferior borders of the greater and lesser trochanters. A fracture only in the first area was classified as a pure first area fracture; one in the first and second area was classified as a 1-2 type fracture. In the same way, fractures were classified as pure 2, 3-4, 1-2-3, and so on. “Area classification” reliability was highest when orthopedists with varying experience classified proximal femoral fractures using 3DCT. Other classifications cannot classify proximal femoral fractures if they exceed each classification’s particular zones. However, fractures that exceed the target zones are “dangerous” fractures. “Area classification” can classify such fractures, and it is therefore useful for selecting osteosynthesis methods.
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Zhao, Yaqin. « A Novel On-line Paper Defect Classification Method Based on Multi-representatives Classification ». Journal of Information and Computational Science 11, no 8 (20 mai 2014) : 2585–92. http://dx.doi.org/10.12733/jics20103543.

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Paek, Eung Gi, John R. Wullert II et J. S. Patel. « Holographic On-Line Learning Machine for Multicategory Classification ». Japanese Journal of Applied Physics 29, Part 2, No. 7 (20 juillet 1990) : L1332—L1334. http://dx.doi.org/10.1143/jjap.29.l1332.

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Wang, Hongxing, Zheng Huang, Bin Liu, Xiang Huang, Wei Han et Hongchen Li. « Transmission Line Scene Classification Based on Light-VGGNet ». Journal of Physics : Conference Series 1631 (septembre 2020) : 012038. http://dx.doi.org/10.1088/1742-6596/1631/1/012038.

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Lee, Young-Hak, Hyung Dae Jin et Chonghun Han. « On-Line Process State Classification for Adaptive Monitoring ». Industrial & ; Engineering Chemistry Research 45, no 9 (avril 2006) : 3095–107. http://dx.doi.org/10.1021/ie048969+.

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Gaouda, A. M., S. H. Kanoun et M. M. A. Salama. « On-line disturbance classification using nearest neighbor rule ». Electric Power Systems Research 57, no 1 (janvier 2001) : 1–8. http://dx.doi.org/10.1016/s0378-7796(00)00120-6.

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Qing, Jianjun, Hong Huo et Tao Fang. « Pattern classification based on k locally constrained line ». Soft Computing 15, no 4 (avril 2010) : 703–12. http://dx.doi.org/10.1007/s00500-010-0602-2.

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Thèses sur le sujet "On-line classification"

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Melli, Gabor Settimio. « A lazy model-based approach to on-line classification ». Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ37590.pdf.

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Semienchuk, Sasha. « A portable monitor for automated, on-line cardiorespiratory state classification / ». Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=99117.

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Apnea is a condition characterized by the spontaneous cessation of respiratory airflow during sleep. The current gold standard for the diagnosis of apnea is the manual analysis of cardiorespiratory data records by trained personnel; this restricts the study of apnea to the clinical setting, and is costly, time-intensive, subjective, and prone to human error. We have developed a monitor that non-invasively acquires, classifies, annotates and displays patient cardiorespiratory data in an on-line and fully-automated manner. The monitor is robust, portable and battery-operated and has a graphical user interface for patient monitoring by a clinician. The unit has received approval for use in the postoperative recovery room at the Montreal Children's Hospital as a point-of-care diagnostic tool to monitor infants for post-operative apnea.
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邱文輝 et Man-fai Yau. « Automatic on-line classification of ECG morphology for ambulatory monitoring ». Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1988. http://hub.hku.hk/bib/B31209038.

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Yau, Man-fai. « Automatic on-line classification of ECG morphology for ambulatory monitoring / ». [Hong Kong] : University of Hong Kong, 1988. http://sunzi.lib.hku.hk/hkuto/record.jsp?B12433962.

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Wang, Qiuhong. « Fault Location and Classification for Transmission Line Based on Wavelet Transform ». Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-187676.

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With the rapid development of power systems, locating and classifying faults is critical to the continuity and reliability of the transmission system. In this thesis, a traveling-wave based technique for fault location and classification on high voltage and extremely high-voltage transmission lines is proposed. The traveling-wave based protection has the advantage of fast response and not being affected by power swing and CTs saturation. In this thesis, the transient characteristics of single line to ground fault (which can be divided into solid fault and arcing fault) and lightning disturbance are extracted by using Clarke transformation and wavelet transformation. The differences among recorded traveling wave arrival times are used to calculate the fault location, and the wavelet energy at different frequency bands is utilized to distinguish between lightning and different kinds of fault. A criterion is proposed according to the energy ratio. The proposed scheme can identify different faults correctly and quickly. In addition, the influence of busbar capacitance, current transformer and coupling capacitor voltage transformer are considered. The simulation of a transmission system has been made in ATP/EMTP, and the calculations have been made in MATLAB.
Med den snabba utvecklingen av kraftsystem är lokalisering och klassificering av fel avgörande för kontinuiteten och tillförlitligheten hos överföringssystem. I denna avhandling föreslås en vågrörelse-baserad teknik för fellokalisering och klassificering av kraftledningar för högspänning och extremt hög spänning. Vågrörelsebaserat skydd har fördelen av snabb respons och att det inte påverkas av kraft fluktuationer och strömtransformsmättnad. I denna avhandling tas momentana egenskaperna av jord till ledningsfel (vilket kan delas in i stumt jordfel och ljusbågefel) och blixtstörning fram med hjälp av Clarke transformation och wavelet transformation. Skillnaderna mellan de uppmätta vågrörelsernas ankomsttider används för att beräkna fellokalisering och wavelet energin vid olika frekvensband, vilket används för att skilja mellan blixt och olika sorters fel. Ett kriterium föreslås enligt energiförhållandet. Det föreslagna systemet kan identifiera olika sorters fel korrekt och snabbt. Dessutom övervägs påverkan av strömskenans kapacitans, strömtransformator och kopplingskondensatorspänningsomvandlare. Simuleringen av transmissionssystem har gjorts med ATP/EMTP, och beräkningarna är gjorda med MATLAB.
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Bellem, Westin Hugo, et Karolina Shi. « An Evaluation of Various On-line Classification Algorithms in Nonstationary Environments ». Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-280406.

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On-line classification algorithms are useful in cases were data is streamed in large amounts, which is quite common in todays society. However, when the data starts to drift (i.e. concept drift) it might lead to lower prediction accuracy. For example seasonal changes, climate changes, weather sensor detoriating are all things that might lead to drifts in data in weather forecasts. The purpose of this study is to evaluate and give an overview of how some current on-line classification algorithms handle the problem of concept drift. Dynamic Weighted Majority(DWM), Adaptive Random Forest(ARF) and KNearest Neighbor with ADWIN(KNNA) are tested on a Gaussian dataset and on the SEA dataset. Naïve Bayes(NB) is included in testing as a benchmark as it is well known and not adapted to handle concept drift. Results showed that Naïve Bayes had a distinguishable lower performance accuracy in both datasets. KNNA had a slightly higher accuracy than the rest in the Gaussian dataset. All on-line algorithms had a similar performance in the SEA dataset. Between datasets, the algorithms had a measurable lower performance accuracy in the SEA dataset.
On-line klassificeringsalgoritmer är användbara i fall där data kommer strömmande i stora mängder, något som är vanligt i dagens samhälle. Dock kan precisionen för algoritmerna fallera när drift uppstår i inkommande data (i.e. concept drift). Exempel på concept drift inom väderprognoser är bland annat säsongs- eller klimatförändringar, samt att vädersensorer bryts ned m.m. Syftet med denna rapport är att evaluera och ge en överblick över hur några aktuella on-line klassificeringsalgoritmer hanterar concept drift. Dynamic Weighted Majority(DWM), Adaptive Random Forest(ARF) och K-NearestNeighbor med ADWIN (KNNA) testas på ett Gaussiskt dataset och på SEA datasetet. Naïve Bayes(NB) är också inkluderat som ett riktmärke att förhålla sig till, eftersom det inte är anpassat till drift i inkommande data. Resultat visade att NB hade en märkbart lägre precision i båda dataseten. KNNA hade en något högre precision än resten i det Gaussiska datasetet. Alla on-line algoritmer presterade ungefär likadant i SEA dataseten. Mellan dataseten så hade algoritmerna än lägre precision i SEA datasetet.
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Staufer-Steinnocher, Petra, et Manfred M. Fischer. « A Neural Network Classifier for Spectral Pattern Recognition. On-Line versus Off-Line Backpropagation Training ». WU Vienna University of Economics and Business, 1997. http://epub.wu.ac.at/4152/1/WSG_DP_6097.pdf.

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In this contributon we evaluate on-line and off-line techniques to train a single hidden layer neural network classifier with logistic hidden and softmax output transfer functions on a multispectral pixel-by-pixel classification problem. In contrast to current practice a multiple class cross-entropy error function has been chosen as the function to be minimized. The non-linear diffierential equations cannot be solved in closed form. To solve for a set of locally minimizing parameters we use the gradient descent technique for parameter updating based upon the backpropagation technique for evaluating the partial derivatives of the error function with respect to the parameter weights. Empirical evidence shows that on-line and epoch-based gradient descent backpropagation fail to converge within 100,000 iterations, due to the fixed step size. Batch gradient descent backpropagation training is superior in terms of learning speed and convergence behaviour. Stochastic epoch-based training tends to be slightly more effective than on-line and batch training in terms of generalization performance, especially when the number of training examples is larger. Moreover, it is less prone to fall into local minima than on-line and batch modes of operation. (authors' abstract)
Series: Discussion Papers of the Institute for Economic Geography and GIScience
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Pester, M. « On-line visualization in parallel computations ». Universitätsbibliothek Chemnitz, 1998. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-199801143.

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The investigation of new parallel algorithms for MIMD computers requires some postprocessing facilities for quickly evaluating the behavior of those algorithms We present two kinds of visualization tool implementations for 2D and 3D finite element applications to be used on a parallel computer and a host workstation.
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Khoshzaban-Zavarehi, Masoud. « On-line condition monitoring and fault diagnosis in hydraulic system components using parameter estimation and pattern classification ». Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq25078.pdf.

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Duée, Cédric, Beate Orberger, Nicolas Maubec, Xavier Bourrat, Mendili Yassine El, Stéphanie Gascoin, Daniel Chateigner et al. « Challenges in coupled on-line-on-mine-real time mineralogical and chemical analyses on drill cores ». TU Bergakademie Freiberg, 2017. https://tubaf.qucosa.de/id/qucosa%3A23177.

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The SOLSA project aims to develop an innovative on-line-on-mine-real-time expert system, combining sonic drilling, mineralogical and chemical characterization and data treatment. Ideally, this combination, highly demanded by mining and metallurgical companies, will speed up exploration, mining and processing. In order to evaluate the instrumental parameters for the SOLSA expert system, portable and laboratory analyses have been performed on four samples with contrasting lithologies: siliceous breccia, serpentinized harzburgite, sandstone and granite. More precisely, we evaluated the influence of the surface state of the sample on the signals obtained by portable X-Ray Fluorescence (pXRF) for chemistry and portable Infra-Red spectroscopy (pIR) for mineralogy. In addition, laboratory Raman spectroscopy, X-Ray Diffraction (XRD), XRF and ICP-OES laboratory analyses were performed to compare surface bulk mineralogical and chemical analyses. This presentation highlights (1) the importance of coupling chemical and mineralogical analytical technologies to obtain most complete information on samples, (2) the effect of the sample surface state on the XRF and IR signals from portable instruments. The last point is crucial for combined instrumental on-line sensor design and the calibration of the different instruments, especially in the case of pXRF.
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Livres sur le sujet "On-line classification"

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Lim, Chee Peng. On-line pattern classification with multiple neural network systems:an experimental study. Sheffield : University of Sheffield, Dept. of Automatic Control & Systems Engineering, 1996.

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Markey, Karen. technology Dewey decimal classification online project : Evaluation of a library schedule and index integrated into the subjectsearching capabilities of an online catalog : final report to the Council on Library Resources. Dublin, Ohio : OCLC Online Computer Library Center, 1986.

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Markey, Karen. concise Encyclopedia of special Education : Evaluation of a library schedule and index integrated into the subject searching capabilities of an online catalog. 2e éd. Dublin, OH : OCLC Computer Library Center, Office of Research, 1985.

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Bogumil, Veniamin, et Sarango Duke. Telematics on urban passenger transport. ru : INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1819882.

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The monograph discusses the application of telematics in dispatch control systems in urban passenger transport. The role of telematics as a technological basis in automating the solution of control tasks, accounting and analysis of the volume and quality of transport work in modern dispatch control systems on urban passenger transport is shown. Analytical models have been developed to estimate the capacity of a high-speed bus transportation system on a dedicated line. Mathematical models and algorithms for predicting passenger vehicle interior filling at critical stages of urban passenger transport routes are presented. The issues of application of the concept of the phase space of states introduced by the authors to assess the quality of the passenger transportation process on the route of urban passenger transport are described. The developed classification of service levels and their application in order to inform passengers at stopping points about the degree of filling of the passenger compartment of the arriving vehicle is described. The material is based on the results of theoretical research and practical work on the creation and implementation of automated control systems for urban passenger transport in Russian cities. The material of M.H. Duque Sarango's dissertation submitted for the degree of Candidate of Technical Sciences in the specialty 05.22.10 "Operation of motor transport" was used. It will be useful to specialists in the field of telematics on urban passenger transport.
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The impact of patient classification systems on women front-line care workers in rural nursing homes. Ottawa : Status of Women Canada, 2006.

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Goldman, Alvin I. Theory of Mind. Sous la direction de Eric Margolis, Richard Samuels et Stephen P. Stich. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780195309799.013.0017.

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The article provides an overview of ‘Theory of Mind’ (ToM) research, guided by two classifications. The first covers four competing approaches to mentalizing such as the theory-theory, modularity theory, rationality theory, and simulation theory. The second classification is the first-person/third-person contrast. Jerry Fodor claimed that commonsense psychology is so good at helping predict behavior that it is practically invisible. It works well because the intentional states it posits genuinely exist and possess the properties generally associated with them. The modularity model has two principal components. First, whereas the child-scientist approach claims that mentalizing utilizes domain-general cognitive equipment, the modularity approach posits one or more domain-specific modules, which use proprietary representations and computations for the mental domain. Second, the modularity approach holds that these modules are innate cognitive structures, which mature or come on line at preprogrammed stages and are not acquired through learning. The investigators concluded that autism impairs a domain-specific capacity dedicated to mentalizing. Gordon, Jane Heal, and Alvin Goldman explained simulation theory in such a way that mind readers simulate a target by trying to create similar mental states of their own as proxies or surrogates of those of the target. These initial pretend states are fed into the mind reader's own cognitive mechanisms to generate additional states, some of which are then imputed to the target.
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Wahrhaftig, Alexandre de Macêdo. La portada del corregidor. Brazil Publishing, 2020. http://dx.doi.org/10.31012/978-65-5861-060-1.

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This is a preliminary examination related to a portal faced of a public building in the city of La Laguna, Tenerife, Spain, carved in the mid-sixteenth century, of rich lines and architectural symbols characteristic of the Renaissance early stage. It was set up in ashlars, of chemical composition and granulometry that gave to it the classification of toba basaltic volcanic, compact granular, reddish in colour. Its high chemical resistance was not able to withstand the 450 years of exposure and at the time of diagnosis its surface had a high degree of dirt adhered and a profound loss of material by disaggregation and breakdowns, what had partially destroyed valuable elements of its characterization. This preliminary investigation fell exclusively on the stone material that composed the faced, although could be observed other elements like roof tile in the ceiling, and carpentry on the window and door. For that reason, the focus of this work has been directed to the stylistic symbolism and diagnose of the main element, being restricted to the stonework, where was the essence of the centennial facade. Therefore, this previous analysis was performed objecting to prepare the base for a restoration work considering the archaeological line of thought, in order to retrieve and maintain its forms and volumes, working on fundamental architectural elements to rescue and ensure to future generations the true message that was exteriorized.
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Burton, Derek, et Margaret Burton. Essential Fish Biology. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198785552.001.0001.

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This book summarizes the basic features of living fish. It is introduced by a chapter on the diversity of a group which has over 30,000 species, the largest within the vertebrates, describing the classification systems used for them and the variety of their habitats and morphology. Thereafter the physiology of fish is described and discussed initially by categories such as the outer boundary (the skin), the circulatory system, food processing, reproduction, hormones as integrators and controllers, the nervous system and the very complex set of sensory receptors including the eyes, ears, lateral line and electro-receptors. Unusual structures, adaptations and behaviours reveal the breadth of fish lifestyles from deep-ocean to shallow reef habitats, with both fresh water and marine margins favouring some near-terrestrial forms even emerging to spawn. With enormous ranges of size, shape and lifecycles, fish are capable of extreme longevity and amazing adjustments to their environment, including colour change, light emission by photophores and sporadic hermaphroditism (both sexes in one individual). The use of fish types by scientists is discussed. Referenced throughout, the scope of the book includes reviews of historically important and recent discoveries and some speculation on the future for fish and fish conservation. Appendices are provided to give in-depth information on some topics, including material briefly describing practical procedures, relevant to experimentation and aquaculture, which may prompt further investigation. The glossary with explanations of terms, and the copious illustrations help understanding of this complex subject area.
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Temperley, David. The Musical Language of Rock. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190653774.001.0001.

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A theory of the structure of rock music is presented, addressing aspects such as tonality/key, harmony, rhythm/meter, melody, phrase structure, timbre/instrumentation, form, and emotional expression. The book brings together ideas from the author’s previous articles but also contains substantial new material. Rock is defined broadly (as it often is) to include a wide range of late twentieth-century Anglo-American popular styles, including 1950s rock & roll, Motown, soul, “British invasion” rock, soft rock, heavy metal, disco, new wave, and alternative rock. The study largely employs the informal, intuitive methods of conventional music theory and analysis, but it is also informed by corpus data. An important component of the theory is a representation of pitches—the “line of fifths”—that sheds light on issues such as stylistic distinctions within rock, effects of surprise, and emotion. The theory also entails a model of expression with three dimensions, representing valence, energy, and tension; this proves to be a powerful tool for tracing shifts in expressive effect within songs. The theory features novel approaches to issues such as cadences, melodic-harmonic coordination, the handling of sectional boundaries, and the classification of formal types. The final two chapters present analyses of six songs and a broader consideration of rock in its historical and stylistic context.
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Chapitres de livres sur le sujet "On-line classification"

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Balzanella, Antonio, Yves Lechevallier et Rosanna Verde. « Clustering Data Streams by On-Line Proximity Updating ». Dans Classification and Data Mining, 97–104. Berlin, Heidelberg : Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28894-4_12.

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Flotzinger, Doris, Joachim Kalcher et Gert Pfurtscheller. « LVQ-Based On-line EEG Classification ». Dans Artificial Neural Nets and Genetic Algorithms, 161–66. Vienna : Springer Vienna, 1993. http://dx.doi.org/10.1007/978-3-7091-7533-0_25.

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Zhang, Ziming, Jiawei Huang et Ze-Nian Li. « Learning Sparse Features On-Line for Image Classification ». Dans Lecture Notes in Computer Science, 122–31. Berlin, Heidelberg : Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21593-3_13.

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Vovk, Vladimir. « Universal Well-Calibrated Algorithm for On-Line Classification ». Dans Learning Theory and Kernel Machines, 358–72. Berlin, Heidelberg : Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45167-9_27.

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Saad, D. « The Theory of On-line Learning — A Statistical Physics Approach ». Dans Studies in Classification, Data Analysis, and Knowledge Organization, 300–308. Berlin, Heidelberg : Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55721-7_31.

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Melli, Gabor. « A Lazy Model-Based Algorithm for On-Line Classification ». Dans Methodologies for Knowledge Discovery and Data Mining, 350–54. Berlin, Heidelberg : Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48912-6_46.

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Calvo-Zaragoza, Jorge, Gabriel Vigliensoni et Ichiro Fujinaga. « Staff-Line Detection on Grayscale Images with Pixel Classification ». Dans Pattern Recognition and Image Analysis, 279–86. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58838-4_31.

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Zarei, Roozbeh, Alireza Monemi et Muhammad Nadzir Marsono. « Retraining Mechanism for On-Line Peer-to-Peer Traffic Classification ». Dans Advances in Intelligent Systems and Computing, 373–82. Berlin, Heidelberg : Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32063-7_40.

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Yoshimura, Isao, Mitsu Yoshimura et Shin-ichi Matsuda. « Choice of Multiple Representative Signatures for On-line Signature Verification Using a Clustering Procedure ». Dans Studies in Classification, Data Analysis, and Knowledge Organization, 284–91. Tokyo : Springer Japan, 1998. http://dx.doi.org/10.1007/978-4-431-65950-1_31.

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Millán-Giraldo, Mónica, Vicente Javier Traver et J. Salvador Sánchez. « On-Line Classification of Data Streams with Missing Values Based on Reinforcement Learning ». Dans Pattern Recognition and Image Analysis, 355–62. Berlin, Heidelberg : Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21257-4_44.

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Actes de conférences sur le sujet "On-line classification"

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Este, Alice, Francesco Gringoli et Luca Salgarelli. « On-line SVM traffic classification ». Dans 2011 7th International Wireless Communications and Mobile Computing Conference (IWCMC 2011). IEEE, 2011. http://dx.doi.org/10.1109/iwcmc.2011.5982804.

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Li, Shuang, Linjun Sun, Xin Ning, Yuan Shi et Xiaoli Dong. « Head Pose Classification Based on Line Portrait ». Dans 2019 International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS). IEEE, 2019. http://dx.doi.org/10.1109/hpbdis.2019.8735492.

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de Souza, Erico N., Stan Matwin et Stenio Fernandes. « Traffic classification with on-line ensemble method ». Dans 2014 Global Information Infrastructure and Networking Symposium (GIIS). IEEE, 2014. http://dx.doi.org/10.1109/giis.2014.6934280.

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Li, Mengshi, Yang Yu, Tianyao Ji et Qinghua Wu. « On-line Transmission Line Fault Classification using Long Short-Term Memory ». Dans 2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED). IEEE, 2019. http://dx.doi.org/10.1109/demped.2019.8864831.

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Nossenson, Ronit, et Shuval Polacheck. « On-Line Flows Classification of Video Streaming Applications ». Dans 2015 IEEE 14th International Symposium on Network Computing and Applications (NCA). IEEE, 2015. http://dx.doi.org/10.1109/nca.2015.51.

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Kour, George, et Raid Saabne. « Fast classification of handwritten on-line Arabic characters ». Dans 2014 6th International Conference of Soft Computing and Pattern Recognition (SoCPaR). IEEE, 2014. http://dx.doi.org/10.1109/socpar.2014.7008025.

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Srinivas, M., Debaditya Roy et C. Krishna Mohan. « Music genre classification using On-line Dictionary Learning ». Dans 2014 International Joint Conference on Neural Networks (IJCNN). IEEE, 2014. http://dx.doi.org/10.1109/ijcnn.2014.6889516.

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Zhang, Jian, Zongjue Qian, Guochu Shou et Yihong Hu. « An Automated On-line Traffic Flow Classification Scheme ». Dans 2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP). IEEE, 2009. http://dx.doi.org/10.1109/iih-msp.2009.188.

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Holze, Marc, Claas Gaidies et Norbert Ritter. « Consistent on-line classification of dbs workload events ». Dans Proceeding of the 18th ACM conference. New York, New York, USA : ACM Press, 2009. http://dx.doi.org/10.1145/1645953.1646193.

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Pirlo, G., V. Cuccovillo, D. Impedovo et P. Mignone. « On-Line Signature Verification by Multi-domain Classification ». Dans 2014 14th International Conference on Frontiers in Handwriting Recognition (ICFHR). IEEE, 2014. http://dx.doi.org/10.1109/icfhr.2014.19.

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Rapports d'organisations sur le sujet "On-line classification"

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Engel, Bernard, Yael Edan, James Simon, Hanoch Pasternak et Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, juillet 1996. http://dx.doi.org/10.32747/1996.7613033.bard.

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The objectives of this project were to develop procedures and models, based on neural networks, for quality sorting of agricultural produce. Two research teams, one in Purdue University and the other in Israel, coordinated their research efforts on different aspects of each objective utilizing both melons and tomatoes as case studies. At Purdue: An expert system was developed to measure variances in human grading. Data were acquired from eight sensors: vision, two firmness sensors (destructive and nondestructive), chlorophyll from fluorescence, color sensor, electronic sniffer for odor detection, refractometer and a scale (mass). Data were analyzed and provided input for five classification models. Chlorophyll from fluorescence was found to give the best estimation for ripeness stage while the combination of machine vision and firmness from impact performed best for quality sorting. A new algorithm was developed to estimate and minimize training size for supervised classification. A new criteria was established to choose a training set such that a recurrent auto-associative memory neural network is stabilized. Moreover, this method provides for rapid and accurate updating of the classifier over growing seasons, production environments and cultivars. Different classification approaches (parametric and non-parametric) for grading were examined. Statistical methods were found to be as accurate as neural networks in grading. Classification models by voting did not enhance the classification significantly. A hybrid model that incorporated heuristic rules and either a numerical classifier or neural network was found to be superior in classification accuracy with half the required processing of solely the numerical classifier or neural network. In Israel: A multi-sensing approach utilizing non-destructive sensors was developed. Shape, color, stem identification, surface defects and bruises were measured using a color image processing system. Flavor parameters (sugar, acidity, volatiles) and ripeness were measured using a near-infrared system and an electronic sniffer. Mechanical properties were measured using three sensors: drop impact, resonance frequency and cyclic deformation. Classification algorithms for quality sorting of fruit based on multi-sensory data were developed and implemented. The algorithms included a dynamic artificial neural network, a back propagation neural network and multiple linear regression. Results indicated that classification based on multiple sensors may be applied in real-time sorting and can improve overall classification. Advanced image processing algorithms were developed for shape determination, bruise and stem identification and general color and color homogeneity. An unsupervised method was developed to extract necessary vision features. The primary advantage of the algorithms developed is their ability to learn to determine the visual quality of almost any fruit or vegetable with no need for specific modification and no a-priori knowledge. Moreover, since there is no assumption as to the type of blemish to be characterized, the algorithm is capable of distinguishing between stems and bruises. This enables sorting of fruit without knowing the fruits' orientation. A new algorithm for on-line clustering of data was developed. The algorithm's adaptability is designed to overcome some of the difficulties encountered when incrementally clustering sparse data and preserves information even with memory constraints. Large quantities of data (many images) of high dimensionality (due to multiple sensors) and new information arriving incrementally (a function of the temporal dynamics of any natural process) can now be processed. Furhermore, since the learning is done on-line, it can be implemented in real-time. The methodology developed was tested to determine external quality of tomatoes based on visual information. An improved model for color sorting which is stable and does not require recalibration for each season was developed for color determination. Excellent classification results were obtained for both color and firmness classification. Results indicted that maturity classification can be obtained using a drop-impact and a vision sensor in order to predict the storability and marketing of harvested fruits. In conclusion: We have been able to define quantitatively the critical parameters in the quality sorting and grading of both fresh market cantaloupes and tomatoes. We have been able to accomplish this using nondestructive measurements and in a manner consistent with expert human grading and in accordance with market acceptance. This research constructed and used large databases of both commodities, for comparative evaluation and optimization of expert system, statistical and/or neural network models. The models developed in this research were successfully tested, and should be applicable to a wide range of other fruits and vegetables. These findings are valuable for the development of on-line grading and sorting of agricultural produce through the incorporation of multiple measurement inputs that rapidly define quality in an automated manner, and in a manner consistent with the human graders and inspectors.
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Lavrentieva, Olena O., Lina M. Rybalko, Oleh O. Tsys et Aleksandr D. Uchitel. Theoretical and methodical aspects of the organization of students’ independent study activities together with the use of ICT and tools. [б. в.], septembre 2019. http://dx.doi.org/10.31812/123456789/3244.

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In the article the possibilities and classification of ICTs and tools that can be used in organizing students’ independent study activities of higher education institutions has been explored. It is determined the students’ independent study activities is individual, group, collective activity and is implemented within the process of education under the condition of no pedagogy’s direct involvement. It complies with the requirements of the curriculum and syllabus and is aimed at students’ acquisition of some social experiences in line with the learning objectives of vocational training. The analysis of the latest information and technological approaches to the organization of students’ independent study activities made it possible to determine the means of realization of the leading forms of organization for this activity (independent and research work, lectures, consultations and non-formal education), to characterize and classify the ICTs and tools that support presentation of teaching materials, electronic communication, mastering of learning material, monitoring of students’ learning and cognitive activity, such as ones that serve for the sake of development and support of automated training courses, systems of remote virtual education with elements of artificial intelligence, which implement the principle of adaptive management of learning and the organization of students’ independent study activities. The paper provides the insight into the essence of the conducted investigation on the assesses of the effectiveness of ICTs and tools in the process of organizing students’ independent study activities.
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Bonfil, David J., Daniel S. Long et Yafit Cohen. Remote Sensing of Crop Physiological Parameters for Improved Nitrogen Management in Semi-Arid Wheat Production Systems. United States Department of Agriculture, janvier 2008. http://dx.doi.org/10.32747/2008.7696531.bard.

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To reduce financial risk and N losses to the environment, fertilization methods are needed that improve NUE and increase the quality of wheat. In the literature, ample attention is given to grid-based and zone-based soil testing to determine the soil N available early in the growing season. Plus, information is available on in-season N topdressing applications as a means of improving GPC. However, the vast majority of research has focused on wheat that is grown under N limiting conditions in sub-humid regions and irrigated fields. Less attention has been given to wheat in dryland that is water limited. The objectives of this study were to: (1) determine accuracy in determining GPC of HRSW in Israel and SWWW in Oregon using on-combine optical sensors under field conditions; (2) develop a quantitative relationship between image spectral reflectance and effective crop physiological parameters; (3) develop an operational precision N management procedure that combines variable-rate N recommendations at planting as derived from maps of grain yield, GPC, and test weight; and at mid-season as derived from quantitative relationships, remote sensing, and the DSS; and (4) address the economic and technology-transfer aspects of producers’ needs. Results from the research suggest that optical sensing and the DSS can be used for estimating the N status of dryland wheat and deciding whether additional N is needed to improve GPC. Significant findings include: 1. In-line NIR reflectance spectroscopy can be used to rapidly and accurately (SEP <5.0 mg g⁻¹) measure GPC of a grain stream conveyed by an auger. 2. On-combine NIR spectroscopy can be used to accurately estimate (R² < 0.88) grain test weight across fields. 3. Precision N management based on N removal increases GPC, grain yield, and profitability in rainfed wheat. 4. Hyperspectral SI and partial least squares (PLS) models have excellent potential for estimation of biomass, and water and N contents of wheat. 5. A novel heading index can be used to monitor spike emergence of wheat with classification accuracy between 53 and 83%. 6. Index MCARI/MTVI2 promises to improve remote sensing of wheat N status where water- not soil N fertility, is the main driver of plant growth. Important features include: (a) computable from commercial aerospace imagery that include the red edge waveband, (b) sensitive to Chl and resistant to variation in crop biomass, and (c) accommodates variation in soil reflectance. Findings #1 and #2 above enable growers to further implement an efficient, low cost PNM approach using commercially available on-combine optical sensors. Finding #3 suggests that profit opportunities may exist from PNM based on information from on-combine sensing and aerospace remote sensing. Finding #4, with its emphasis on data retrieval and accuracy, enhances the potential usefulness of a DSS as a tool for field crop management. Finding #5 enables land managers to use a DSS to ascertain at mid-season whether a wheat crop should be harvested for grain or forage. Finding #6a expands potential commercial opportunities of MS imagery and thus has special importance to a majority of aerospace imaging firms specializing in the acquisition and utilization of these data. Finding #6b on index MCARI/MVTI2 has great potential to expand use of ground-based sensing and in-season N management to millions of hectares of land in semiarid environments where water- not N, is the main determinant of grain yield. Finding #6c demonstrates that MCARI/MTVI2 may alleviate the requirement of multiple N-rich reference strips to account for soil differences within farm fields. This simplicity will be less demanding of grower resources, promising substantially greater acceptance of sensing technologies for in-season N management.
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