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1Dissertation/ Thesis
المؤلفون: Zappella, Luca
المساهمون: University/Department: Universitat de Girona. Departament d'Arquitectura i Tecnologia de Computadors
Thesis Advisors: luca.zappella@gmail.com, Lladó Bardera, Xavier, Salvi, Joaquim
المصدر: TDX (Tesis Doctorals en Xarxa)
مصطلحات موضوعية: Motion segmentation, Segmentació del moviment, Segmentación del movimiento, Manifold clustering, Agrupament d'espais, Agrupamiento de espacios, Estimation of the number of clusters, Structure from motion, Estructura a partir del moviment, Estructura a partir del movimiento
وصف الملف: application/pdf
URL الوصول: http://hdl.handle.net/10803/34765
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2Dissertation/ Thesis
المؤلفون: Mattheus, Jana
Thesis Advisors: Grobler, H., mattheus.jana@gmail.com, Abu-Mahfouz, Adnan M.
مصطلحات موضوعية: UCTD, Motion segmentation, Motion analysis, Sparse subspace clustering, Manifold clustering, Computer vision
الاتاحة: http://hdl.handle.net/2263/81250
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3Academic Journal
المؤلفون: Gu, Suhang, Chung, Fu Lai, Wang, Shitong
المصدر: Kean Publications
مصطلحات موضوعية: Flat-based clustering, Fuzzy clustering, Manifold clustering, Nonlinear manifold, Style clustering
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4Academic Journal
المؤلفون: Yan, Li, Qi, Wenlong, Qin, A. K., Yang, Shengxiang, Gong, Dunwei, Qu, Boyang, Liang, Jing
مصطلحات موضوعية: Dynamic multiobjective optimization, Evolutionary algorithm, Manifold clustering, Prediction
وصف الملف: application/pdf
Relation: Yan, L., Qi, W., Qin, A.K., Yang, S., Gong, D., Qu, B. and Liang. J. (2023) Manifold clustering-based prediction for dynamic multiobjective optimization. Swarm and Evolutionary Computation, 77, 101254; https://hdl.handle.net/2086/22488; https://doi.org/10.1016/j.swevo.2023.101254
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5
المؤلفون: Li Yan, Wenlong Qi, A.K. Qin, Shengxiang Yang, Dunwei Gong, Boyang Qu, Jing Liang
مصطلحات موضوعية: General Computer Science, General Mathematics, Evolutionary algorithm, Prediction, Manifold clustering, Dynamic multiobjective optimization
وصف الملف: application/pdf
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6Academic Journal
المؤلفون: Xulun Ye, Jieyu Zhao, Yu Chen
المصدر: Entropy; Volume 20; Issue 11; Pages: 830
مصطلحات موضوعية: multi-manifold clustering, Dirichlet process mixture model, mixture of Gaussians, graph theory
وصف الملف: application/pdf
Relation: Information Theory, Probability and Statistics; https://dx.doi.org/10.3390/e20110830
الاتاحة: https://doi.org/10.3390/e20110830
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7
المؤلفون: Babaeian, Amir
مصطلحات موضوعية: Mathematics, Statistics, Computer science, Community Detection, Constrained-Shortest-Path, Large Graphs, Manifold Learning, MapReduce, Multiple Manifold Clustering
وصف الملف: application/pdf
URL الوصول: https://escholarship.org/uc/item/4w64w79x
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8Report
المؤلفون: Efimov, Kirill, Adamyan, Larisa, Spokoiny, Vladimir
مصطلحات موضوعية: ddc:330, C00, adaptive weights, clustering, gap coecient, manifold clustering
Relation: Series: IRTG 1792 Discussion Paper; No. 2018-018; http://hdl.handle.net/10419/230729; RePEc:zbw:irtgdp:2018018
الاتاحة: http://hdl.handle.net/10419/230729
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9
المؤلفون: Victor Sineglazov, Olena Chumachenko, Eduard Heilyk
المصدر: Electronics and Control Systems; Vol. 4 No. 70 (2021); 37-43
Электроника и системы управления; Том 4 № 70 (2021); 37-43
Електроніка та системи управління; Том 4 № 70 (2021); 37-43
Electronics and Control Systems, № 4(70)مصطلحات موضوعية: label propagation, semi-supervised learning, искусственный интеллект, manifold, обработка данных, штучний інтелект, artificial intelligence, 004.93(045), распространение меток, розповсюдження міток, предположения гладкости, разнообразия, кластеризации, полууправляемое обучение, обробка даних, припущення гладкості, різноманіття, кластеризації, smoothness, напівкероване навчання, smoothness, manifold, clustering assumptions, clustering assumptions, data processing
وصف الملف: application/pdf; P. 37-43
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10Conference
المؤلفون: Mattheus, J, Grobler, H, Abu-Mahfouz, Adnan MI
المصدر: International Multidisciplinary Information Technology and Engineering Conference, Kimberley, South Africa, 25-27 November 2020
مصطلحات موضوعية: 3D scene analysis, Articulated, Computer vision, Factorization method, Manifold clustering, Motion analysis, Motion segmentation, Non-rigid
وصف الملف: Full text; application/pdf
Relation: https://www.spu.ac.za/index.php/ieee-imitec-2020/; https://ieeexplore.ieee.org/document/9334076; Mattheus, J., Grobler, H. & Abu-Mahfouz, A.M. 2020. A review of motion segmentation: Approaches and major challenges. http://hdl.handle.net/10204/11740 .; http://hdl.handle.net/10204/11740; Mattheus, J., Grobler, H., & Abu-Mahfouz, A. M. (2020). A review of motion segmentation: Approaches and major challenges. http://hdl.handle.net/10204/11740; Mattheus, J, H Grobler, and Adnan MI Abu-Mahfouz. "A review of motion segmentation: Approaches and major challenges." International Multidisciplinary Information Technology and Engineering Conference, Kimberley, South Africa, 25-27 November 2020 (2020): http://hdl.handle.net/10204/11740; Mattheus J, Grobler H, Abu-Mahfouz AM, A review of motion segmentation: Approaches and major challenges; 2020. http://hdl.handle.net/10204/11740 .; 24113
الاتاحة: http://hdl.handle.net/10204/11740
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11Academic Journal
المؤلفون: Alvina Goh
المساهمون: The Pennsylvania State University CiteSeerX Archives
مصطلحات موضوعية: Manifold learning, manifold clustering, probability density functions
وصف الملف: application/pdf
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.218.7678; http://www.cis.jhu.edu/~alvina/papers/ECML2008_PDF.pdf
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12
المؤلفون: Jieyu Zhao, Xulun Ye, Yu Chen
المصدر: Entropy
Volume 20
Issue 11
Entropy, Vol 20, Iss 11, p 830 (2018)مصطلحات موضوعية: Computer science, graph theory, General Physics and Astronomy, lcsh:Astrophysics, 02 engineering and technology, Article, lcsh:QB460-466, 0202 electrical engineering, electronic engineering, information engineering, mixture of Gaussians, Cluster analysis, lcsh:Science, Signal processing, business.industry, 020206 networking & telecommunications, Pattern recognition, Graph theory, Mixture model, lcsh:QC1-999, Determining the number of clusters in a data set, Dirichlet process, ComputingMethodologies_PATTERNRECOGNITION, Dirichlet process mixture model, multi-manifold clustering, Graph (abstract data type), 020201 artificial intelligence & image processing, lcsh:Q, Artificial intelligence, Nonparametric model, business, lcsh:Physics
وصف الملف: application/pdf
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13Academic Journal
المؤلفون: Arias-Castro, Ery, Lerman, Gilad, Zhang, Teng
المصدر: Scopus Export 2015-2019
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14Academic Journal
المؤلفون: Zhuang, Liansheng, Wang, Jingjing, Lin, Zhouchen, Yang, Allen Y., Ma, Yi, Yu, Nenghai
المساهمون: Zhuang, LS (reprint author), USTC, Sch Informat Sci & Technol, Hefei, Peoples R China., USTC, Sch Informat Sci & Technol, Hefei, Peoples R China., Peking Univ, Sch EECS, Key Lab Machine Percept MOE, Beijing, Peoples R China., Shanghai Jiao Tong Univ, Cooperat Medianet Innovat Ctr, Shanghai 200030, Peoples R China., Univ Calif Berkeley, Dept EECS, Berkeley, CA 94720 USA., ShanghaiTech Univ, Shanghai, Peoples R China.
المصدر: SCI
مصطلحات موضوعية: Nonlinear manifold clustering, Graph construction, Low-rank representation, GRAPH, RECOGNITION, ALGORITHMS
Relation: NEUROCOMPUTING.2016,175,715-722.; 1398521; http://hdl.handle.net/20.500.11897/438763; WOS:000367756600069
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15Dissertation/ Thesis
المؤلفون: Garcia, Rafael
المساهمون: Comba, Joao Luiz Dihl, Silva, Bruno Castro da
مصطلحات موضوعية: Computacao grafica : Aplicacoes, Visualização, Multidimensional data visualization, Subspace finding, Manifold clustering, Non-parametric regression, Machine learning, Robotics
وصف الملف: application/pdf
Relation: http://hdl.handle.net/10183/271183; 001009705
الاتاحة: http://hdl.handle.net/10183/271183
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16Academic Journal
المصدر: International Geoscience and Remote Sensing Symposium (IGARSS) ; ISBN: 9781479957750
مصطلحات موضوعية: classification, kernel, low-rank, manifold clustering, sparse, unsupervised
وصف الملف: text/html
Relation: https://edepot.wur.nl/520513
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17
المصدر: International Geoscience and Remote Sensing Symposium (IGARSS). Institute of Electrical and Electronics Engineers Inc.
International Geoscience and Remote Sensing Symposium (IGARSS)
IGARSSمصطلحات موضوعية: sparse, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, low rank, low-rank, unsupervised, subspace, Cluster analysis, Mathematics, manifold clustering, Pixel, business.industry, LTS5, Hyperspectral imaging, Pattern recognition, Sparse approximation, Data structure, Spectral clustering, hyperspectral, ComputingMethodologies_PATTERNRECOGNITION, Kernel (image processing), classification, kernel, Computer Science::Computer Vision and Pattern Recognition, Artificial intelligence, business, Reproducing kernel Hilbert space
وصف الملف: application/octet-stream; text/html