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» Kernels for Global Constraints
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ICASSP
2008
IEEE
14 years 2 months ago
Learning the kernel via convex optimization
The performance of a kernel-based learning algorithm depends very much on the choice of the kernel. Recently, much attention has been paid to the problem of learning the kernel it...
Seung-Jean Kim, Argyrios Zymnis, Alessandro Magnan...
CVPR
2010
IEEE
13 years 5 months ago
Global and local isometry-invariant descriptor for 3D shape comparison and partial matching
In this paper, based on manifold harmonics, we propose a novel framework for 3D shape similarity comparison and partial matching. First, we propose a novel symmetric meanvalue rep...
Huai-Yu Wu, Hongbin Zha, Tao Luo, Xulei Wang, Song...
ICIP
2004
IEEE
14 years 9 months ago
A robust face detector under partial occlusion
This paper presents a robust face detector under partial occlusion. In recent years, the effectiveness of Support Vector Machine (SVM) to object detection is reported. However, co...
Kazuhiro Hotta
CP
2006
Springer
13 years 9 months ago
Graph Properties Based Filtering
Abstract. This report presents a generic filtering scheme, based on the graph description of global constraints. This description is defined by a network of binary constraints and ...
Nicolas Beldiceanu, Mats Carlsson, Sophie Demassey...
SAT
2004
Springer
90views Hardware» more  SAT 2004»
14 years 1 months ago
Encoding Global Unobservability for Efficient Translation to SAT
The paper studies the use of global unobservability constraints in a CNF translation of Boolean formulas, where the unobservability of logic blocks is encoded with CNF unobservabil...
Miroslav N. Velev