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NIPS
2008
15 years 8 months ago
Robust Regression and Lasso
We consider robust least-squares regression with feature-wise disturbance. We show that this formulation leads to tractable convex optimization problems, and we exhibit a particul...
Huan Xu, Constantine Caramanis, Shie Mannor
AAAI
1993
15 years 8 months ago
Learning Object Models from Appearance
We address the problem of automatically learning object models for recognition and pose estimation. In contrast to the traditional approach, we formulate the recognition problem a...
Hiroshi Murase, Shree K. Nayar
CORR
2010
Springer
207views Education» more  CORR 2010»
15 years 7 months ago
Collaborative Hierarchical Sparse Modeling
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Pablo Sprechmann, Ignacio Ramírez, Guillerm...
CORR
2008
Springer
78views Education» more  CORR 2008»
15 years 6 months ago
Distributed Beamforming with Feedback: Convergence Analysis
The focus of this work is on the analysis of transmit beamforming schemes with a low-rate feedback link in wireless sensor/relay networks, where nodes in the network need to imple...
Che Lin, Venugopal V. Veeravalli, Sean P. Meyn
CSDA
2006
64views more  CSDA 2006»
15 years 6 months ago
Time-frequency analysis - G
Methods such as wavelets and M-stationary process have been developed to analyze the time-frequency properties of a process where frequency changes with time. In certain circumsta...
Huiping Jiang, Henry L. Gray, Wayne A. Woodward