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IJCV
2006
236views more  IJCV 2006»
13 years 8 months ago
A Feature-based Approach for Dense Segmentation and Estimation of Large Disparity Motion
We present a novel framework for motion segmentation that combines the concepts of layer-based methods and feature-based motion estimation. We estimate the initial correspondences...
Josh Wills, Sameer Agarwal, Serge Belongie
TNN
1998
96views more  TNN 1998»
13 years 8 months ago
Noise suppressing sensor encoding and neural signal orthonormalization
In this paper we regard first the situation where parallel channels are disturbed by noise. With the goal of maximal information conservation we deduce the conditions for a transf...
Rüdiger W. Brause, M. Rippl
TMM
2002
91views more  TMM 2002»
13 years 8 months ago
Power-spectrum condition for energy-efficient watermarking
This paper presents a model for watermarking and some attacks on watermarks. Given the watermarked signal, the so-called Wiener attack performs minimum mean-squared error (MMSE) es...
Jonathan K. Su, Bernd Girod
PAMI
2010
248views more  PAMI 2010»
13 years 6 months ago
Coupled Prediction Classification for Robust Visual Tracking
—This paper addresses the problem of robust template tracking in image sequences. Our work falls within the discriminative framework in which the observations at each frame yield...
Ioannis Patras, Edwin R. Hancock
ICMLA
2009
13 years 6 months ago
Transformation Learning Via Kernel Alignment
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
Andrew Howard, Tony Jebara