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» Kernels for Global Constraints
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108
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DATAMINE
1998
145views more  DATAMINE 1998»
15 years 15 days ago
A Tutorial on Support Vector Machines for Pattern Recognition
The tutorial starts with an overview of the concepts of VC dimension and structural risk minimization. We then describe linear Support Vector Machines (SVMs) for separable and non-...
Christopher J. C. Burges
93
Voted
JCAM
2011
91views more  JCAM 2011»
14 years 3 months ago
Numerical solution of linear Volterra integral equations of the second kind with sharp gradients
Collocation methods are a well developed approach for the numerical solution of smooth and weakly-singular Volterra integral equations. In this paper we extend these methods, thro...
Samuel A. Isaacson, Robert M. Kirby
86
Voted
ICIP
2006
IEEE
16 years 2 months ago
Optimum Watermark Design by Vector Space Projections
We introduce an optimum watermark embedding technique that satisfies common watermarking requirements such as visual fidelity, sufficient embedding rate, robustness against noise ...
Oktay Altun, Gaurav Sharma, Mark F. Bocko
115
Voted
ICIP
2003
IEEE
16 years 2 months ago
Deformable face mapping for person identification
This paper introduces a novel deformable model for face mapping and its application to automatic person identification. While most face recognition techniques directly model the f...
Florent Perronnin, Jean-Luc Dugelay, Kenneth Rose
100
Voted
ICPR
2008
IEEE
16 years 2 months ago
Continuous graph cuts for prior-based object segmentation
In this paper we propose a novel prior-based variational object segmentation method in a global minimization framework which unifies image segmentation and image denoising. The id...
Anders Heyden, Christian Gosch, Christoph Schn&oum...