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187
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AAAI
2011
14 years 6 months ago
2011
Transfer learning allows knowledge to be extracted from auxiliary domains and be used to enhance learning in a target domain. For transfer learning to be successful, it is critica...
142
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CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
In this paper, we introduce the semantic network model (SNM), a generalization of the hidden Markov model (HMM) that uses factorization of state transition probabilities to reduce...
190
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CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
This paper proposes a computational system of object categorization based on decomposition and adaptive fusion of visual information. A coupled Conditional Random Field is develop...
162
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ICIP
2005
IEEE
16 years 8 months ago
2005
IEEE
In this article, we propose a special type of decision tree, called a decision cascade, for binarizing document images. Such images are produced by cameras, resulting in varying de...
141
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ICPR
2004
IEEE
16 years 7 months ago
2004
IEEE
Bidirectional recurrent neural network(BRNN) is a noncausal generalization of recurrent neural network(RNN). It can not learn remote information efficiently due to the problem of ...