41 search results - page 6 / 9 » Learning to Recognize Complex Actions Using Conditional Rand... |
147
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FGR
2011
IEEE
14 years 6 months ago
2011
IEEE
— This paper attempts to recognize spontaneous agreement and disagreement based only on nonverbal multimodal cues. Related work has mainly used verbal and prosodic cues. We demon...
116
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CIKM
2008
Springer
15 years 4 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
185
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CVPR
2011
IEEE
14 years 9 months ago
2011
IEEE
In this paper we present a framework for the recognition of collective human activities. A collective activity is defined or reinforced by the existence of coherent behavior of i...
111
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NIPS
2004
15 years 3 months ago
2004
Go is an ancient oriental game whose complexity has defeated attempts to automate it. We suggest using probability in a Bayesian sense to model the uncertainty arising from the va...
128
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ACL
2008
15 years 3 months ago
2008
Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...