1091 search results - page 109 / 219 » Learning Models for Predicting Recognition Performance |
153
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CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
We present a novel framework for recognizing repetitive
sequential events performed by human actors with strong
temporal dependencies and potential parallel overlap. Our
solutio...
121
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ACCV
2009
Springer
15 years 9 months ago
2009
Springer
The method based on local features has an advantage that the important local motion feature is represented as bag-of-features, but lacks the location information. Additionally, in ...
154
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IJCNN
2006
IEEE
15 years 9 months ago
2006
IEEE
— A solution for the slow convergence of most learning rules for Recurrent Neural Networks (RNN) has been proposed under the terms Liquid State Machines (LSM) and Echo State Netw...
126
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COLT
1995
Springer
15 years 6 months ago
1995
Springer
We propose and analyze a distribution learning algorithm for a subclass of Acyclic Probabilistic Finite Automata (APFA). This subclass is characterized by a certain distinguishabi...
158
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ISNN
2009
Springer
15 years 9 months ago
2009
Springer
In this paper, we introduce a new instance-based approach to the label ranking problem. This approach is based on a probability model on rankings which is known as the Mallows mode...