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CVPR
2010
IEEE
13 years 2 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 7 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 4 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 6 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