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NIPS
2000
13 years 9 months ago
A Support Vector Method for Clustering
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladi...
SCALESPACE
2007
Springer
14 years 1 months ago
Restoration of Images with Piecewise Space-Variant Blur
We address the problem of space-variant image deblurring, where different parts of the image are blurred by different blur kernels. Assuming a region-wise space variant point spr...
Leah Bar, Nir A. Sochen, Nahum Kiryati
SCHOLARPEDIA
2008
89views more  SCHOLARPEDIA 2008»
13 years 6 months ago
Support vector clustering
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
Asa Ben-Hur
ICRA
2006
IEEE
99views Robotics» more  ICRA 2006»
14 years 1 months ago
Application of Set Membership Identification for Fault Detection of MEMS
- In this article, a set membership (SM) identification technique is tailored to detect faults in microelectromechanical systems. The SM-identifier estimates an orthotope which con...
Vasso Reppa, Anthony Tzes
CVPR
2004
IEEE
14 years 9 months ago
Multiple Bernoulli Relevance Models for Image and Video Annotation
Retrieving images in response to textual queries requires some knowledge of the semantics of the picture. Here, we show how we can do both automatic image annotation and retrieval...
Shaolei Feng, Raghavan Manmatha, Victor Lavrenko