417 search results - page 26 / 84 » Supervised Image Segmentation Using Markov Random Fields |
ICPR
2006
IEEE
16 years 29 days ago
2006
IEEE
Coarticulation is one of the important factors that makes automatic sign language recognition a hard problem. Unlike in speech recognition, coarticulation effects in sign language...
109
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ICDAR
2011
IEEE
13 years 11 months ago
2011
IEEE
—In this paper, we propose a novel method for extracting handwritten characters from multi-language document images, which may contain various types of characters, e.g. Chinese, ...
TFS
2008
2008
Type-2 Fuzzy Markov Random Fields and Their Application to Handwritten Chinese Character Recognition
14 years 11 months ago
In this paper, we integrate type-2 (T2) fuzzy sets with Markov random fields (MRFs) referred to as T2 FMRFs, which may handle both fuzziness and randomness in the structural patter...
270
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PAMI
2010
14 years 10 months ago
2010
—The efficient application of graph cuts to Markov Random Fields (MRFs) with multiple discrete or continuous labels remains an open question. In this paper, we demonstrate one p...
219
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CVPR
2009
IEEE
16 years 7 months ago
2009
IEEE
Markov random field (MRF, CRF) models are popular in
computer vision. However, in order to be computationally
tractable they are limited to incorporate only local interactions
a...