2073 search results - page 56 / 415 » Learning for Dynamic Subsumption |
114
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MLDM
2005
Springer
15 years 8 months ago
2005
Springer
In this paper we present a method to cluster large datasets that change over time using incremental learning techniques. The approach is based on the dynamic representation of clus...
139
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SDM
2007
SIAM
15 years 3 months ago
2007
SIAM
Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...
117
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IJRR
2011
14 years 9 months ago
2011
We present a novel approach to legged locomotion over rough terrain that is thoroughly rooted in optimization. This approach relies on a hierarchy of fast, anytime algorithms to p...
183
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CVPR
2012
IEEE
13 years 4 months ago
2012
IEEE
In this paper, we tackle the problem of understanding the temporal structure of complex events in highly varying videos obtained from the Internet. Towards this goal, we utilize a...
123
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ECCV
1996
Springer
16 years 4 months ago
1996
Springer
In Proc. European Conf. Computer Vision, 1996, pp. 357{368, Cambridge, UK The performance of Active Contours in tracking is highly dependent on the availability of an appropriate ...