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» Robust kernel density estimation
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CSDA
2008
89views more  CSDA 2008»
13 years 10 months ago
Projection density estimation under a m-sample semiparametric model
An m-sample semiparametric model in which the ratio of m - 1 probability density functions with respect to the mth is of a known parametric form without reference to any parametri...
Jean-Baptiste Aubin, Samuela Leoni-Aubin
CVPR
2008
IEEE
14 years 12 months ago
Robust dual motion deblurring
This paper presents a robust algorithm to deblur two consecutively captured blurred photos from camera shaking. Previous dual motion deblurring algorithms succeeded in small and s...
Jia Chen, Lu Yuan, Chi-Keung Tang, Long Quan
WILF
2007
Springer
98views Fuzzy Logic» more  WILF 2007»
14 years 4 months ago
Possibilistic Clustering in Feature Space
In this paper we propose the Possibilistic C-Means in Feature Space and the One-Cluster Possibilistic C-Means in Feature Space algorithms which are kernel methods for clustering in...
Maurizio Filippone, Francesco Masulli, Stefano Rov...
PKDD
2009
Springer
113views Data Mining» more  PKDD 2009»
14 years 4 months ago
Feature Selection for Density Level-Sets
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an eï¬...
Marius Kloft, Shinichi Nakajima, Ulf Brefeld
ICIP
2009
IEEE
13 years 7 months ago
Object tracking by bidirectional learning with feature selection
This paper proposes a new tracking algorithm which combines object and background information, via building object and background appearance models simultaneously by nonparametric...
Heng Wang, Xinwen Hou, Cheng-Lin Liu