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SIBGRAPI
2008
IEEE
14 years 2 months ago
Structural Matching of 2D Electrophoresis Gels using Graph Models
2D electrophoresis is a well known method for protein separation which is extremely useful in the field of proteomics. Each spot in the image represents a protein accumulation an...
Alexandre Noma, Alvaro Pardo, Roberto Marcondes Ce...
WEBDB
2007
Springer
133views Database» more  WEBDB 2007»
14 years 2 months ago
EntityAuthority: Semantically Enriched Graph-Based Authority Propagation
This paper pursues the recently emerging paradigm of searching for entities that are embedded in Web pages. We utilize informationextraction techniques to identify entity candidat...
Julia Stoyanovich, Srikanta J. Bedathur, Klaus Ber...
ICDM
2006
IEEE
134views Data Mining» more  ICDM 2006»
14 years 2 months ago
Fast Frequent Free Tree Mining in Graph Databases
Free tree, as a special graph which is connected, undirected and acyclic, is extensively used in domains such as computational biology, pattern recognition, computer networks, XML...
Peixiang Zhao, Jeffrey Xu Yu
ACCV
2006
Springer
14 years 1 months ago
Stereo Matching Using Iterated Graph Cuts and Mean Shift Filtering
In this paper, we propose a new stereo matching algorithm using an iterated graph cuts and mean shift filtering technique. Our algorithm consists of following two steps. In the ...
Ju Yong Chang, Kyoung Mu Lee, Sang Uk Lee
ILP
2003
Springer
14 years 1 months ago
Graph Kernels and Gaussian Processes for Relational Reinforcement Learning
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
Thomas Gärtner, Kurt Driessens, Jan Ramon