1622 search results - page 124 / 325 » Learning a Hidden Matching |
156
click to vote
HCI
2009
15 years 1 months ago
2009
Real-time, static and dynamic hand gesture learning and recognition makes it possible to have computers recognize hand gestures naturally. This creates endless possibilities in the...
146
Voted
INTERSPEECH
2010
14 years 10 months ago
2010
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
180
click to vote
AAAI
2011
14 years 3 months ago
2011
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
132
click to vote
CIARP
2009
Springer
15 years 10 months ago
2009
Springer
Many tasks can be described by sequences of actions that normally exhibit some form of structure and that can be represented by a grammar. This paper introduces FOSeq, an algorithm...
157
click to vote
SSPR
2004
Springer
15 years 8 months ago
2004
Springer
Abstract. In surveillance systems for monitoring people behaviour, it is imporant to build systems that can adapt to the signatures of the people tasks and movements in the environ...