94 search results - page 3 / 19 » Variable Sparsity Kernel Learning |
COLT
2008
Springer
14 years 11 months ago
2008
Springer
Coordinate gradient learning is motivated by the problem of variable selection and determining variable covariation. In this paper we propose a novel unifying framework for coordi...
BMVC
2010
14 years 7 months ago
2010
Kernel methods yield state-of-the-art performance in certain applications such as image classification and object detection. However, large scale problems require machine learning...
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ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Compressive sensing accurately reconstructs a signal that is sparse in some basis from measurements, generally consisting of the signal’s inner products with Gaussian random vec...
ICASSP
2008
IEEE
15 years 3 months ago
2008
IEEE
Many speaker verification (SV) systems combine multiple classifiers using score-fusion to improve system performance. For SVM classifiers, an alternative strategy is to combine...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
The problem of acoustic-to-articulatory speech inversion continues to be a challenging research problem which significantly impacts automatic speech recognition robustness and ac...