1575 search results - page 155 / 315 » Unsupervised Learning of Models for Recognition |
111
Voted
CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
Pattern variation is a major factor that affects the performance of recognition systems. In this paper, a novel manifold tangent modeling method called Discriminant Additive Tange...
126
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EMNLP
2008
15 years 4 months ago
2008
We present a novel learning framework for pipeline models aimed at improving the communication between consecutive stages in a pipeline. Our method exploits the confidence scores ...
145
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CIKM
2005
Springer
15 years 9 months ago
2005
Springer
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
119
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ICCV
2005
IEEE
15 years 9 months ago
2005
IEEE
We describe a hierarchical probabilistic model for the detection and recognition of objects in cluttered, natural scenes. The model is based on a set of parts which describe the e...
141
Voted
ML
1998
ACM
15 years 3 months ago
1998
ACM
We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which we name Hierarchical Hidden Markov Models (HHMM). Our m...