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» Supervised feature selection via dependence estimation
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NIPS
2004
13 years 8 months ago
The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space
A new distance measure between probability density functions (pdfs) is introduced, which we refer to as the Laplacian pdf distance. The Laplacian pdf distance exhibits a remarkabl...
Robert Jenssen, Deniz Erdogmus, José Carlos...
ICPR
2008
IEEE
14 years 1 months ago
Robust indoor activity recognition via boosting
In this paper, a novel statistical indoor activity recognition algorithm is introduced. While conditional random fields (CRFs) have prominent properties to this task, no optimal ...
Masamichi Shimosaka, Taketoshi Mori, Tomomasa Sato
ICPR
2006
IEEE
14 years 8 months ago
Object Detection in Video via Particle Filters
We propose an object detection method using particle filters. Our approach estimates the probability of object presence in the current image given the history of observations up t...
Jacek Czyz
IJON
1998
158views more  IJON 1998»
13 years 7 months ago
Bayesian Kullback Ying-Yang dependence reduction theory
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
Lei Xu
JMLR
2008
110views more  JMLR 2008»
13 years 7 months ago
Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers
Support vector machine (SVM) is one of the most popular and promising classification algorithms. After a classification rule is constructed via the SVM, it is essential to evaluat...
Bo Jiang, Xuegong Zhang, Tianxi Cai