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» A Framework for the Comparison of Complex Patterns
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137
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PKDD
2009
Springer
153views Data Mining» more  PKDD 2009»
15 years 10 months ago
Subspace Regularization: A New Semi-supervised Learning Method
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...
Yan-Ming Zhang, Xinwen Hou, Shiming Xiang, Cheng-L...
143
Voted
ICPR
2008
IEEE
15 years 10 months ago
Layered shape matching and registration: Stochastic sampling with hierarchical graph representation
To automatically register foreground target in cluttered images, we present a novel hierarchical graph representation and a stochastic computing strategy in Bayesian framework. Th...
Xiaobai Liu, Liang Lin, Hongwei Li, Hai Jin, Wenbi...
123
Voted
HPDC
2006
IEEE
15 years 9 months ago
Peer to peer size estimation in large and dynamic networks: A comparative study
As the size of distributed systems keeps growing, the peer to peer communication paradigm has been identified as the key to scalability. Peer to peer overlay networks are charact...
Erwan Le Merrer, Anne-Marie Kermarrec, Laurent Mas...
129
Voted
GRAPHITE
2003
ACM
15 years 9 months ago
Scalable photon splatting for global illumination
In this paper, we present a new image based method for computing efficiently global illumination using graphics hardware. We propose a two pass method to compute global lighting ...
Fabien Lavignotte, Mathias Paulin
148
Voted
CAIP
2009
Springer
210views Image Analysis» more  CAIP 2009»
15 years 7 months ago
Shape Classification Using a Flexible Graph Kernel
The medial axis being an homotopic transformation, the skeleton of a 2D shape corresponds to a planar graph having one face for each hole of the shape and one node for each junctio...
François-Xavier Dupé, Luc Brun