1340 search results - page 163 / 268 » Structure learning of Bayesian networks using constraints |
151
Voted
ICCV
2005
IEEE
16 years 6 months ago
2005
IEEE
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...
117
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JUCS
2008
15 years 4 months ago
2008
: Recently Web Based Training (WBT) starts to be widely used as a new way of teaching. Unfortunately, this mode of teaching imposes new requirements and constraints. It has made th...
156
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AAAI
2004
15 years 5 months ago
2004
Representing lexicons and sentences with the subsymbolic approach (using techniques such as Self Organizing Map (SOM) or Artificial Neural Network (ANN)) is a relatively new but i...
132
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FGR
2008
IEEE
15 years 11 months ago
2008
IEEE
A robust VAR-based (vector autoregressive) model is introduced for motion prediction in 3D hand tracking. This dynamic VAR motion model is learned in an online manner. The kinemat...
133
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CVPR
2010
IEEE
15 years 6 months ago
2010
IEEE
This paper addresses the problem of jointly clustering two segmentations of closely correlated images. We focus in particular on the application of reconstructing neuronal structu...