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» Solving Sparse Linear Constraints
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83
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CORR
2010
Springer
70views Education» more  CORR 2010»
15 years 21 days ago
Structured sparsity-inducing norms through submodular functions
Sparse methods for supervised learning aim at finding good linear predictors from as few variables as possible, i.e., with small cardinality of their supports. This combinatorial ...
Francis Bach
106
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DAGSTUHL
2007
15 years 2 months ago
Nonlinear Approximation and Image Representation using Wavelets
We address the problem of finding sparse wavelet representations of high-dimensional vectors. We present a lower-bounding technique and use it to develop an algorithm for computi...
Sudipto Guha, Boulos Harb
SIAMSC
2008
127views more  SIAMSC 2008»
15 years 16 days ago
Fast (Structured) Newton Computations
Abstract. Many vector-valued functions, representing expensive computations, are also structured computations. In this case the calculation of the Newton step can be greatly accele...
Thomas F. Coleman, Wei Xu
INTERSPEECH
2010
14 years 7 months ago
Towards a robust face recognition system using compressive sensing
An application of compressive sensing (CS) theory in imagebased robust face recognition is considered. Most contemporary face recognition systems suffer from limited abilities to ...
Allen Y. Yang, Zihan Zhou, Yi Ma, Shankar Sastry
99
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TASLP
2010
126views more  TASLP 2010»
14 years 7 months ago
Sound Field Reproduction using the Lasso
Reproducing a sampled sound field using an array of loudspeakers is a problem with well-appreciated applications to acoustics and ultrasound treatment. Loudspeaker signal design ha...
G. N. Lilis, Daniele Angelosante, Georgios B. Gian...