144 search results - page 3 / 29 » On Deep Generative Models with Applications to Recognition |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
This paper considers application of Deep Belief Nets (DBNs) to natural language call routing. DBNs have been successfully applied to a number of tasks, including image, audio and ...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
INFOCOM
2012
IEEE
11 years 10 months ago
2012
IEEE
Abstract—In this paper, we introduce FlowSifter, a systematic framework for online application protocol field extraction. FlowSifter introduces a new grammar model Counting Regu...
ICDE
2012
IEEE
11 years 10 months ago
2012
IEEE
—We demonstrate SWITCH, a deep embedding of relational queries into RUBY and RUBY on RAILS. With SWITCH, there is no syntactic or stylistic difference between RUBY programs that ...
KBSE
1998
IEEE
13 years 11 months ago
1998
IEEE
Automated user-interface generation environments have been criticized for their failure to deliver rich and powerful interactive applications [18]. To specify more powerful system...