220 search results - page 4 / 44 » Training linear SVMs in linear time |
IJCNN
2008
IEEE
14 years 20 days ago
2008
IEEE
— We discuss sparse support vector machines (sparse SVMs) trained in the reduced empirical feature space. Namely, we select the linearly independent training data by the Cholesky...
PAMI
2011
13 years 1 months ago
2011
—Emerging applications of computer vision and pattern recognition in mobile devices and networked computing require the development of resourcelimited algorithms. Linear classifi...
IPSN
2010
Springer
14 years 1 months ago
2010
Springer
This paper develops algorithms to train linear support vector machines (SVMs) when training data are distributed across different nodes and their communication to a centralized no...
ICPR
2006
IEEE
14 years 7 months ago
2006
IEEE
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
NIPS
2004
13 years 7 months ago
2004
We propose to selectively remove examples from the training set using probabilistic estimates related to editing algorithms (Devijver and Kittler, 1982). This heuristic procedure ...