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» Computational Experience with the Batch Means Method
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SSDBM
2010
IEEE
188views Database» more  SSDBM 2010»
15 years 4 months ago
Similarity Estimation Using Bayes Ensembles
Similarity search and data mining often rely on distance or similarity functions in order to provide meaningful results and semantically meaningful patterns. However, standard dist...
Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Mat...
TIP
2008
125views more  TIP 2008»
14 years 11 months ago
Segmentation by Fusion of Histogram-Based K-Means Clusters in Different Color Spaces
Abstract--This paper presents a new, simple, and efficient segmentation approach, based on a fusion procedure which aims at combining several segmentation maps associated to simple...
Max Mignotte
IJSR
2010
107views more  IJSR 2010»
14 years 10 months ago
Multi-model Hypothesis Group Tracking and Group Size Estimation
Abstract— People in densely populated environments typically form groups that split and merge. In this paper we track groups of people so as to reflect this formation process an...
Boris Lau, Kai Oliver Arras, Wolfram Burgard
ICIP
2010
IEEE
14 years 9 months ago
Rotation invariant texture classification using adaptive LBP with directional statistical features
Local Binary Pattern (LBP) has been widely used in texture classification because of its simplicity and computational efficiency. Traditional LBP codes the sign of the local diffe...
Zhenhua Guo, Lei Zhang, David Zhang, Su Zhang
CEC
2010
IEEE
14 years 12 months ago
Coevolutionary Temporal Difference Learning for small-board Go
—In this paper we apply Coevolutionary Temporal Difference Learning (CTDL), a hybrid of coevolutionary search and reinforcement learning proposed in our former study, to evolve s...
Krzysztof Krawiec, Marcin Szubert