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206
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NIPS
2007
15 years 9 months ago
2007
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
183
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AAAI
2006
15 years 8 months ago
2006
In this paper we present our preliminary investigation of rational agents who can learn from their experience. We claim that such agents need to combine at least three attributes
276
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CVPR
2009
IEEE
17 years 2 months ago
2009
IEEE
This paper presents an algorithm for automatically detecting and segmenting a moving object from a monocular video. Detecting and segmenting a moving object from a video with limit...
214
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ICML
2009
IEEE
16 years 8 months ago
2009
IEEE
Trajectory planning and optimization is a fundamental problem in articulated robotics. Algorithms used typically for this problem compute optimal trajectories from scratch in a ne...
243
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ICMCS
2008
IEEE
16 years 1 months ago
2008
IEEE
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...