1243 search results - page 12 / 249 » Reduced-Rank Hidden Markov Models |
JMLR
2006
13 years 9 months ago
2006
This paper proposes a general probabilistic framework for shape-based modeling and classification of waveform data. A segmental hidden Markov model (HMM) is used to characterize w...
NIPS
1992
13 years 11 months ago
1992
This paper describes a technique for learning both the number of states and the topologyof Hidden Markov Models from examples. The inductionprocess starts with the most specific m...
KDD
2008
ACM
14 years 10 months ago
2008
ACM
Hidden Markov models (HMMs) have received considerable attention in various communities (e.g, speech recognition, neurology and bioinformatic) since many applications that use HMM...
ICPR
2008
IEEE
14 years 4 months ago
2008
IEEE
One of the major limitations of HMM-based models is the inability to cope with topology: When applied to a visible observation (VO) sequence, HMM-based techniques have difficulty ...
ICIP
2006
IEEE
14 years 11 months ago
2006
IEEE
In this paper we propose a new framework for modeling 2D shapes. A shape is first described by a sequence of local features (e.g., curvature) of the shape boundary. The resulting ...