141 search results - page 9 / 29 » Spectral Clustering and Embedding with Hidden Markov Models |
AAAI
2011
12 years 7 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...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
Clustering aims to find useful hidden structures in data. In this paper we present a new clustering algorithm that builds upon the consistency method (Zhou, et.al., 2003), a semi-...
GW
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. This work aims to recognize signs which have both manual and nonmanual components by providing a sequential belief-based fusion mechanism. We propose a methodology based ...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Visual vocabulary serves as a fundamental component in many computer vision tasks, such as object recognition, visual search, and scene modeling. While state-of-the-art approaches...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
In modern automatic speech recognition systems, it is standard practice to cluster several logical hidden Markov model states into one physical, clustered state. Typically, the cl...