Results 71 to 80 of about 20,683 (150)
, 2022 (A) High gamma responses averaged across electrodes in the 2 clusters provided by the unsupervised NMF. Shaded regions indicate SEM over trials. (B) Spatial distribution on cortex of electrodes in the 2 clusters displayed on the left hemisphere of a ...
Adeen Flinker (185852) +3 more
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Shifted NMF with Group Sparsity for Clustering NMF Basis Functions [PDF]
, 2012 Recently, Non-negative Matrix Factorisation (NMF) has found application in separation of individual sound sources. NMF decomposes the spectrogram of an audio mixture into an additive parts based representation where the parts typically correspond to ...
Rickard, Scott +3 more
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GSVD-NMF: Recovering Missing Features in Non-negative Matrix Factorization [PDF]
Non-negative matrix factorization (NMF) is an important tool in signal processing and widely used to separate mixed sources into their components. Algorithms for NMF require that the user choose the number of components in advance, and if the results are
Guo, Youdong, Holy, Timothy E.
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Non-Negative Matrix Factorization in Recommender Models: Concept, Survey, and Future Direction
IEEE AccessRecommender Systems have gained attraction since last two decades owing to its popularity of providing customers with the information of their choice, items they might purchase, movies they might watch and many preferences.
Rachana Mehta +2 more
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ACCOUNTING FOR PHASE CANCELLATIONS IN NON-NEGATIVE MATRIX FACTORIZATION USING WEIGHTED DISTANCES [PDF]
, 2014 (c)2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or ...
Ewert, S, Plumbley, MD, Sandler, M, IEEE
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Generalized Alpha-Beta Divergences and Their Application to Robust Nonnegative Matrix Factorization
Entropy, 2011 We propose a class of multiplicative algorithms for Nonnegative Matrix Factorization (NMF) which are robust with respect to noise and outliers. To achieve this, we formulate a new family generalized divergences referred to as the Alpha-Beta-divergences ...
Andrzej Cichocki +2 more
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Parts based representation for pedestrian using NMF with robustness to partial occlusion
, 2010 Computer Vision has seen a resurgence in the parts-based representation for objects over the past few years. The parts are usually annotated beforehand for training.
Shankar, Naveen N, Ramakrishnan, KR
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, 1993 Bulk and size-fractionated kaolinites from seven localities in Australia as well as the Clay Minerals Society Source Clays Georgia KGa-1 and KGa-2 have been studied by X-ray diffraction (XRD), laser scattering, and electron microscopy in order to ...
P.J.R.Uwins P.J.R.UwinsPhilippa J. R.P.J.R.Uwins P.UwinsPhilippa J.R.https://api.elsevier.com/content/author/author_id/6603758279
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, 2015 © Springer-Verlag Berlin Heidelberg 2016. All rights reserved. Nowadays, magnetic resonance spectroscopy (MRS) represents a powerful nuclear magnetic resonance (NMR) technique in oncology since it provides information on the biochemical profile of ...
A. R. Croitor Sava +11 more
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Research on Human Face Recognition Based on Improved NMF Algorithm
, 2016 研究人脸识别是为了提高身份识别的明确性,具有直接、友好、方便等优点。但传统的基于PCA的人脸识别算法易受光照、表情、姿态等因素的干扰,从而导致其识别率的下降;鉴于此,提出了改进的NMF(非负矩阵分解)人脸图像识别算法。通过在NMF算法嵌入基于多超图的流形学习算法,可以在人脸图像的降维过程中最优地保持各图像间的流形信息,从而实现人脸识别算法对光照、表情、姿态等因素的鲁棒性。另外,为降低运算成本,提出了在测试阶段采用增量式的迭代求解算法。在人脸数据库ORL、YALE上进行试验的结果表明 ...
李冰锋, 韩志, 唐延东
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