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CVPR
2010
IEEE
13 years 5 months ago
Visual classification with multi-task joint sparse representation
We address the problem of computing joint sparse representation of visual signal across multiple kernel-based representations. Such a problem arises naturally in supervised visual...
Xiaotong Yuan, Shuicheng Yan
SDM
2012
SIAM
233views Data Mining» more  SDM 2012»
11 years 10 months ago
On Finding Joint Subspace Boolean Matrix Factorizations
Finding latent factors of the data using matrix factorizations is a tried-and-tested approach in data mining. But finding shared factors over multiple matrices is more novel prob...
Pauli Miettinen
TCOM
2008
101views more  TCOM 2008»
13 years 7 months ago
Transmit beamforming for space-frequency coded MIMO-OFDM systems with spatial correlation feedback
Abstract--This paper addresses the problem of joint optimization of transmit beamforming and space-frequency (SF) coding for MIMO-OFDM systems with spatial correlation feedback in ...
Ahmed K. Sadek, Weifeng Su, K. J. Ray Liu
CVPR
2004
IEEE
14 years 9 months ago
Joint Feature-Basis Subset Selection
We treat feature selection and basis selection in a unified framework by introducing the masking matrix. If one considers feature selection as finding a binary mask vector that de...
Shai Avidan