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176
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ICDM
2007
IEEE
16 years 1 months ago
2007
IEEE
We present a machine learning methodology (models, algorithms, and experimental data) to discovering the agent dynamics that drive the evolution of the social groups in a communit...
312
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GECCO
2007
Springer
16 years 1 months ago
2007
Springer
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
198
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CVPR
2006
IEEE
16 years 1 months ago
2006
IEEE
We present an algorithm for jointly learning a consistent bidirectional generative-recognition model that combines top-down and bottom-up processing for monocular 3d human motion ...
218
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ICDM
2006
IEEE
16 years 1 months ago
2006
IEEE
Kernel methods have been shown to be very effective for applications requiring the modeling of structured objects. However kernels for structures usually are too computational dem...
215
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ICCV
2005
IEEE
16 years 1 months ago
2005
IEEE
We present a new approach to learning image metrics. The main advantage of our method lies in a formulation that requires only a few pairwise examples. Apparently, based on the li...