324 search results - page 4 / 65 » Japanese Word Segmentation by Hidden Markov Model |
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...
ICDAR
2009
IEEE
13 years 7 months ago
2009
IEEE
Hybrid of Neural Network (NN) and Hidden Markov Model (HMM) has been popular in word recognition, taking advantage of NN discriminative property and HMM representational capabilit...
IJCNN
2000
IEEE
14 years 1 months ago
2000
IEEE
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...
ICML
2000
IEEE
14 years 10 months ago
2000
IEEE
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
ICDAR
2007
IEEE
14 years 4 months ago
2007
IEEE