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» On numbers of Davenport-Schinzel sequences
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PAKDD
2009
ACM
171views Data Mining» more  PAKDD 2009»
15 years 6 months ago
Detecting Abnormal Events via Hierarchical Dirichlet Processes
Abstract. Detecting abnormal event from video sequences is an important problem in computer vision and pattern recognition and a large number of algorithms have been devised to tac...
Xian-Xing Zhang, Hua Liu, Yang Gao, Derek Hao Hu
PLDI
1998
ACM
15 years 5 months ago
Improving Performance by Branch Reordering
The conditional branch has long been considered an expensive operation. The relative cost of conditional branches has increased as recently designed machines are now relying on de...
Minghui Yang, Gang-Ryung Uh, David B. Whalley
CVPR
1997
IEEE
15 years 5 months ago
Smoothness in Layers: Motion segmentation using nonparametric mixture estimation
Grouping based on common motion, or “common fate” provides a powerful cue for segmenting image sequences. Recently a number of algorithms have been developed that successfully...
Yair Weiss
113
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NN
2006
Springer
127views Neural Networks» more  NN 2006»
15 years 1 months ago
The asymptotic equipartition property in reinforcement learning and its relation to return maximization
We discuss an important property called the asymptotic equipartition property on empirical sequences in reinforcement learning. This states that the typical set of empirical seque...
Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai
CORR
1999
Springer
71views Education» more  CORR 1999»
15 years 1 months ago
New Error Bounds for Solomonoff Prediction
Solomonoff sequence prediction is a scheme to predict digits of binary strings without knowing the underlying probability distribution. We call a prediction scheme informed when i...
Marcus Hutter