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TNN
2010
148views Management» more  TNN 2010»
14 years 11 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
ICPR
2008
IEEE
16 years 6 months ago
Beyond SVD: Sparse projections onto exemplar orthonormal bases for compact image representation
We present a new method for compact representation of large image datasets. Our method is based on treating small patches from an image as matrices as opposed to the conventional ...
Ajit Rajwade, Anand Rangarajan, Arunava Banerjee, ...
DCC
2002
IEEE
16 years 4 months ago
On-Line Adaptation in Image Coding with a 2-D Tarp Filter
On-line adaptation to nonstationary distributions is essential to good performance in image coding. Fixed-size contexts (with adaptive tables) are also widely used, in conjunction...
Patrice Simard, David Steinkraus, Henrique S. Malv...
IPTPS
2004
Springer
15 years 10 months ago
Secure Acknowledgment of Multicast Messages in Open Peer-to-Peer Networks
We propose a new cryptographic technique, Acknowledgment Compression, permitting senders of multicast data to verify that all interested parties have either received the data or l...
Antonio Nicolosi, David Mazières
KDD
1995
ACM
139views Data Mining» more  KDD 1995»
15 years 8 months ago
Extracting Support Data for a Given Task
We report a novel possibility for extracting a small subset of a data base which contains all the information necessary to solve a given classification task: using the Support Vec...
Bernhard Schölkopf, Chris Burges, Vladimir Va...