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TIP
2010
146views more  TIP 2010»
14 years 10 months ago
Effective Level Set Image Segmentation With a Kernel Induced Data Term
Abstract—This study investigates level set multiphase image segmentation by kernel mapping and piecewise constant modeling of the image data thereof. A kernel function maps impli...
Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed
CVPR
2004
IEEE
16 years 1 months ago
A Correlation-Based Model Prior for Stereo
All non-trivial stereo problems need model priors to deal with ambiguities and noise perturbations. To meet requirements of increasingly demanding tasks such as modeling for rende...
Yanghai Tsin, Takeo Kanade
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
14 years 10 months ago
Laplacian Spectrum Learning
Abstract. The eigenspectrum of a graph Laplacian encodes smoothness information over the graph. A natural approach to learning involves transforming the spectrum of a graph Laplaci...
Pannagadatta K. Shivaswamy, Tony Jebara
JMLR
2010
161views more  JMLR 2010»
14 years 6 months ago
Training and Testing Low-degree Polynomial Data Mappings via Linear SVM
Kernel techniques have long been used in SVM to handle linearly inseparable problems by transforming data to a high dimensional space, but training and testing large data sets is ...
Yin-Wen Chang, Cho-Jui Hsieh, Kai-Wei Chang, Micha...
ICIP
2008
IEEE
16 years 1 months ago
Analysis of human attractiveness using manifold kernel regression
This paper uses a recently introduced manifold kernel regression technique to explore the relationship between facial shape and attractiveness on a heterogeneous dataset of over t...
Bradley C. Davis, Svetlana Lazebnik