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» Substring Selectivity Estimation
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JMLR
2006
89views more  JMLR 2006»
13 years 8 months ago
Lower Bounds and Aggregation in Density Estimation
In this paper we prove the optimality of an aggregation procedure. We prove lower bounds for aggregation of model selection type of M density estimators for the Kullback-Leibler d...
Guillaume Lecué
CVPR
2007
IEEE
14 years 2 months ago
Target Tracking with Online Feature Selection in FLIR Imagery
We present a particle filter-based target tracking algorithm for FLIR imagery. A dual foreground and background model is proposed for target representation which supports robust ...
Vijay Venkataraman, Guoliang Fan, Xin Fan
ICIP
2010
IEEE
13 years 6 months ago
Image modeling and enhancement via structured sparse model selection
An image representation framework based on structured sparse model selection is introduced in this work. The corresponding modeling dictionary is comprised of a family of learned ...
Guoshen Yu, Guillermo Sapiro, Stéphane Mall...
AAAI
1998
13 years 9 months ago
Branch and Bound Algorithm Selection by Performance Prediction
Wepropose a method called Selection by Performance Prediction (SPP) which allows one, when faced with a particular problem instance, to select a Branch and Boundalgorithm from amo...
Lionel Lobjois, Michel Lemaître
AROBOTS
2002
126views more  AROBOTS 2002»
13 years 8 months ago
Selecting Landmarks for Localization in Natural Terrain
We describe techniques to optimally select landmarks for performing mobile robot localization by matching terrain maps. The method is based upon a maximum-likelihood robot localiza...
Clark F. Olson