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122
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ECCV
2010
Springer
15 years 8 months ago
Graph Cut based Inference with Co-occurrence Statistics
Abstract. Markov and Conditional random fields (CRFs) used in computer vision typically model only local interactions between variables, as this is computationally tractable. In t...
118
Voted
GECCO
2004
Springer
155views Optimization» more  GECCO 2004»
15 years 8 months ago
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
EOR
2008
106views more  EOR 2008»
15 years 2 months ago
Convergent Lagrangian heuristics for nonlinear minimum cost network flows
We consider the separable nonlinear and strictly convex single-commodity network flow problem (SSCNFP). We develop a computational scheme for generating a primal feasible solution...
Torbjörn Larsson, Johan Marklund, Caroline Ol...
140
Voted
AAAI
2008
15 years 5 months ago
Query-URL Bipartite Based Approach to Personalized Query Recommendation
Query recommendation is considered an effective assistant in enhancing keyword based queries in search engines and Web search software. Conventional approach to query recommendati...
Lin Li, Zhenglu Yang, Ling Liu, Masaru Kitsuregawa
163
Voted
ISPA
2004
Springer
15 years 8 months ago
Cayley DHTs - A Group-Theoretic Framework for Analyzing DHTs Based on Cayley Graphs
Static DHT topologies influence important features of such DHTs such as scalability, communication load balancing, routing efficiency and fault tolerance. Nevertheless, it is co...
Changtao Qu, Wolfgang Nejdl, Matthias Kriesell