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CGF
2004
92views more  CGF 2004»
13 years 7 months ago
Para-Graph: Graph-Based Parameterization of Triangle Meshes with Arbitrary Genus
This paper describes a novel approach to the parameterization of triangle meshes representing 2-manifolds with an arbitrary genus. A topology-based decomposition of the shape is c...
Giuseppe Patanè, Michela Spagnuolo, Bianca ...
CVPR
2010
IEEE
1192views Computer Vision» more  CVPR 2010»
14 years 4 months ago
RASL: Robust Alignment by Sparse and Low-rank Decomposition for Linearly Correlated Images
This paper studies the problem of simultaneously aligning a batch of linearly correlated images despite gross corruption (such as occlusion). Our method seeks an optimal set of im...
Yigang Peng, Arvind Balasubramanian, John Wright, ...
PAMI
2006
99views more  PAMI 2006»
13 years 7 months ago
A New Convexity Measure Based on a Probabilistic Interpretation of Images
In this article we present a novel convexity measure for object shape analysis. The proposed method is based on the idea of generating pairs of points from a set, and measuring th...
Esa Rahtu, Mikko Salo, Janne Heikkilä
ICML
2007
IEEE
14 years 8 months ago
Automatic shaping and decomposition of reward functions
This paper investigates the problem of automatically learning how to restructure the reward function of a Markov decision process so as to speed up reinforcement learning. We begi...
Bhaskara Marthi
FLAIRS
2010
13 years 10 months ago
Correlating Shape and Functional Properties Using Decomposition Approaches
In this paper, we propose the application of standard decomposition approaches to find local correlations in multimodal data. In a test scenario, we apply these methods to correla...
Daniel Dornbusch, Robert Haschke, Stefan Menzel, H...