881 search results - page 83 / 177 » Spectral Algorithms for Supervised Learning |
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ICA
2010
Springer
14 years 11 months ago
2010
Springer
Abstract. In recent years, there has been a great deal of work in modeling audio using non-negative matrix factorization and its probabilistic counterparts as they yield rich model...
ECCV
2006
Springer
15 years 11 months ago
2006
Springer
Bottom-up segmentation based only on low-level cues is a notoriously difficult problem. This difficulty has lead to recent top-down segmentation algorithms that are based on class-...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
ICASSP
2010
IEEE
14 years 7 months ago
2010
IEEE
We propose a new approach to semi-supervised clustering that utilizes boosting to simultaneously learn both a similarity measure and a clustering of the data from given instancele...
ACL
2009
14 years 7 months ago
2009
We describe an unsupervised system for learning narrative schemas, coherent sequences or sets of events (arrested(POLICE,SUSPECT), convicted( JUDGE, SUSPECT)) whose arguments are ...