94 search results - page 3 / 19 » Variable Sparsity Kernel Learning |
COLT
2008
Springer
13 years 8 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
13 years 4 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...
ICASSP
2011
IEEE
12 years 10 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
14 years 1 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
12 years 10 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...