1368 search results - page 11 / 274 » Logical Hidden Markov Models |
ICML
1999
IEEE
14 years 7 months ago
1999
IEEE
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
ICIP
2004
IEEE
14 years 8 months ago
2004
IEEE
Over the years, researchers in the image analysis community have successfully used various statistical modeling methods to segment, classify, and annotate digital images. In this ...
ICIP
2002
IEEE
14 years 8 months ago
2002
IEEE
A canonical model is proposed for object classes in aerial images. This model is motivated by the observation that geographic regions of interest are characterized by collections ...
NIPS
1992
13 years 7 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...
JMLR
2006
13 years 6 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...