3607 search results - page 3 / 722 » Learning with structured sparsity |
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
In this paper, we propose a novel approach to model shape variations. It encodes sparsity, exploits geometric redundancy, and accounts for the different degrees of local variation...
ICALP
2009
Springer
14 years 5 months ago
2009
Springer
We present a range of new results for testing properties of Boolean functions that are defined in terms of the Fourier spectrum. Broadly speaking, our results show that the propert...
KDD
2009
ACM
14 years 2 days ago
2009
ACM
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
We present a new, block-based image codec based on sparse representations using a learned, structured dictionary called the IterationTuned and Aligned Dictionary (ITAD). The quest...
SIAMJO
2010
13 years 1 days ago
2010
We study the problem of minimizing the expected loss of a linear predictor while constraining its sparsity, i.e., bounding the number of features used by the predictor. While the r...