723 search results - page 28 / 145 » Learning a Hidden Subgraph |
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
We propose a novel probabilistic method based on the Hidden Markov Model (HMM) to learn the structure of a Latent Variable Model (LVM) for query language modeling. In the proposed...
ICIP
2006
IEEE
14 years 9 months ago
2006
IEEE
In this paper, a framework that combines feature extraction, model learning, and likelihood computation, is presented for video event detection. First, the independent component a...
COLING
2008
13 years 9 months ago
2008
This paper explores the use of the homotopy method for training a semi-supervised Hidden Markov Model (HMM) used for sequence labeling. We provide a novel polynomial-time algorith...
NIPS
1992
13 years 8 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 7 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...