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» Privacy-Preserving Singular Value Decomposition
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TNN
2010
148views Management» more  TNN 2010»
14 years 10 months ago
Generalized low-rank approximations of matrices revisited
Compared to Singular Value Decomposition (SVD), Generalized Low Rank Approximations of Matrices (GLRAM) can consume less computation time, obtain higher compression ratio, and yiel...
Jun Liu, Songcan Chen, Zhi-Hua Zhou, Xiaoyang Tan
161
Voted
WINET
2010
178views more  WINET 2010»
14 years 10 months ago
Zero-configuration indoor localization over IEEE 802.11 wireless infrastructure
With the technical advances in ubiquitous computing and wireless networking, there has been an increasing need to capture the context information (such as the location) and to figu...
Hyuk Lim, Lu-Chuan Kung, Jennifer C. Hou, Haiyun L...
170
Voted
SDM
2011
SIAM
218views Data Mining» more  SDM 2011»
14 years 7 months ago
Segmented nestedness in binary data
A binary matrix is fully nested if its columns form a chain of subsets; that is, any two columns are ordered by the subset relation, where we view each column as a subset of the r...
Esa Junttila, Petteri Kaski
KDD
2012
ACM
212views Data Mining» more  KDD 2012»
13 years 6 months ago
Fast bregman divergence NMF using taylor expansion and coordinate descent
Non-negative matrix factorization (NMF) provides a lower rank approximation of a matrix. Due to nonnegativity imposed on the factors, it gives a latent structure that is often mor...
Liangda Li, Guy Lebanon, Haesun Park
ICDE
2007
IEEE
189views Database» more  ICDE 2007»
15 years 10 months ago
Integration of Motion Capture and EMG data for Classifying the Human Motions
Three dimensional motion capture facility is a powerful tool for quantitative and qualitative assessment of multijoint external movements. Electro-myograph (EMG) signals give the ...
Gaurav N. Pradhan, Navzer D. Engineer, Mihai Nadin...