97 search results - page 19 / 20 » Learning Condensed Feature Representations from Large Unsupe... |
146
Voted
NIPS
2004
15 years 5 months ago
2004
Multiple realizations of continuous-valued time series from a stochastic process often contain systematic variations in rate and amplitude. To leverage the information contained i...
154
Voted
DIS
2007
Springer
15 years 9 months ago
2007
Springer
We describe a technique for comparing distributions without the need for density estimation as an intermediate step. Our approach relies on mapping the distributions into a reprodu...
115
Voted
CVPR
2008
IEEE
16 years 5 months ago
2008
IEEE
This paper studies image alignment, the problem of learning a shape and appearance model from labeled data and efficiently fitting the model to a non-rigid object with large varia...
109
Voted
KDD
2009
ACM
15 years 8 months ago
2009
ACM
Currently, the most significant line of defense against malware is anti-virus products which focus on authenticating valid software from a white list, blocking invalid software f...
148
Voted
KES
2008
Springer
15 years 3 months ago
2008
Springer
Abstract. This work proposes a family of language-independent semantic kernel functions defined for individuals in an ontology. This allows exploiting wellfounded kernel methods fo...