324 search results - page 25 / 65 » Japanese Word Segmentation by Hidden Markov Model |
141
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ICDAR
2009
IEEE
15 years 3 months ago
2009
IEEE
We propose a new method for handwritten word-spotting which does not require prior training or gathering examples for querying. More precisely, a model is trained "on the fly...
149
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CLEF
2009
Springer
15 years 7 months ago
2009
Springer
We present Promodes, an algorithm for unsupervised word decomposition, which is based on a probabilistic generative model. The model considers segment boundaries as hidden variable...
189
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JCB
2006
15 years 6 months ago
2006
Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e., segmentation con...
205
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ICDAR
2011
IEEE
14 years 5 months ago
2011
IEEE
—To cope with the tremendous variations of writing styles encountered between different individuals, unconstrained automatic handwriting recognition systems need to be trained on...
203
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PREMI
2009
Springer
16 years 16 days ago
2009
Springer
Abstract. In this paper, we propose an unsupervised color image segmentation scheme using homotopy continuation method and Compound Markov Random Field (CMRF) model. The proposed s...