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» Some Solutions to the Missing Feature Problem in Vision
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ICPR
2008
IEEE
14 years 2 months ago
RANSAC-SVM for large-scale datasets
Support Vector Machines (SVMs), though accurate, are still difficult to solve large-scale applications, due to the computational and storage requirement. To relieve this problem,...
Kenji Watanabe, Takio Kurita
ENTCS
2007
107views more  ENTCS 2007»
13 years 7 months ago
Modeling Environment for Component Model Checking from Hierarchical Architecture
Application of model checking to isolated software components is not directly possible because a component does not form a complete program - the problem of missing environment oc...
Pavel Parizek, Frantisek Plasil
DAM
2011
13 years 2 months ago
Noisy colored point set matching
In this paper we tackle the problem of matching two colored point sets in R3 under the bottleneck distance. First we present an exact matching algorithm that requires the computat...
Yago Diez, Joan Antoni Sellarès
CVPR
2005
IEEE
14 years 9 months ago
A Sparse Support Vector Machine Approach to Region-Based Image Categorization
Automatic image categorization using low-level features is a challenging research topic in computer vision. In this paper, we formulate the image categorization problem as a multi...
Jinbo Bi, Yixin Chen, James Ze Wang
ECCV
2008
Springer
14 years 9 months ago
Anisotropic Geodesics for Perceptual Grouping and Domain Meshing
This paper shows how computational Riemannian manifold can be used to solve several problems in computer vision and graphics. Indeed, Voronoi segmentations and Delaunay graphs comp...
Sébastien Bougleux, Gabriel Peyré, L...