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AAAI
2006
15 years 9 months ago
Point-based Dynamic Programming for DEC-POMDPs
We introduce point-based dynamic programming (DP) for decentralized partially observable Markov decision processes (DEC-POMDPs), a new discrete DP algorithm for planning strategie...
Daniel Szer, François Charpillet
225
Voted
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
17 years 15 days ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
ICIP
2004
IEEE
16 years 9 months ago
Evaluation of shadow classification techniques for object detection and tracking
In a football stadium environment with multiple overhead floodlights, many protruding shadows can be observed originating from each of the targets. To successfully track individua...
John-Paul Renno, James Orwell, Graeme A. Jones
326
Voted
ICDE
2001
IEEE
141views Database» more  ICDE 2001»
16 years 9 months ago
TAR: Temporal Association Rules on Evolving Numerical Attributes
Data mining has been an area of increasing interests during recent years. The association rule discovery problem in particular has been widely studied. However, there are still so...
Wei Wang 0010, Jiong Yang, Richard R. Muntz
193
Voted
ESA
2009
Springer
144views Algorithms» more  ESA 2009»
16 years 2 months ago
Narrow-Shallow-Low-Light Trees with and without Steiner Points
We show that for every set S of n points in the plane and a designated point rt ∈ S, there exists a tree T that has small maximum degree, depth and weight. Moreover, for every po...
Michael Elkin, Shay Solomon