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JMLR
2012
13 years 7 months ago
Krylov Subspace Descent for Deep Learning
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
Oriol Vinyals, Daniel Povey
CVPR
2006
IEEE
16 years 6 months ago
Kernel-based Template Alignment
This paper introduces a novel kernel-based method for template tracking in video sequences. The method is derived for a general warping transformation, and its application to affi...
Igor Guskov
ICCV
2001
IEEE
16 years 6 months ago
Segmentation with Pairwise Attraction and Repulsion
We propose a method of image segmentation by integrating pairwise attraction and directional repulsion derived from local grouping and figure-ground cues. These two kinds of pairw...
Stella X. Yu, Jianbo Shi
CVPR
2010
IEEE
1790views Computer Vision» more  CVPR 2010»
16 years 1 months ago
Data Driven Mean-Shift Belief Propagation For non-Gaussian MRFs
We introduce a novel data-driven mean-shift belief propagation (DDMSBP) method for non-Gaussian MRFs, which often arise in computer vision applications. With the aid of scale sp...
Minwoo Park, S. Kashyap, R. Collins, and Y. Liu
ACIVS
2009
Springer
15 years 11 months ago
Attributed Graph Matching Using Local Descriptions
Abstract. In the pattern recognition context, objects can be represented as graphs with attributed nodes and edges involving their relations. Consequently, matching attributed grap...
Salim Jouili, Ines Mili, Salvatore Tabbone