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» Boosting Complete Techniques Thanks to Local Search Methods
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ICCV
2007
IEEE
14 years 9 months ago
Object Localisation Using Generative Probability Model for Spatial Constellation and Local Image Features
In this paper we apply state-of-the-art approach to object detection and localisation by incorporating local descriptors and their spatial configuration into a generative probabil...
Joni-Kristian Kamarainen, Miroslav Hamouz, Josef K...
AIRWEB
2007
Springer
14 years 1 months ago
Extracting Link Spam using Biased Random Walks from Spam Seed Sets
Link spam deliberately manipulates hyperlinks between web pages in order to unduly boost the search engine ranking of one or more target pages. Link based ranking algorithms such ...
Baoning Wu, Kumar Chellapilla
EMO
2006
Springer
124views Optimization» more  EMO 2006»
13 years 11 months ago
I-MODE: An Interactive Multi-objective Optimization and Decision-Making Using Evolutionary Methods
With the popularity of efficient multi-objective evolutionary optimization (EMO) techniques and the need for such problem-solving activities in practice, EMO methodologies and EMO ...
Kalyanmoy Deb, Shamik Chaudhuri
AIRWEB
2007
Springer
14 years 1 months ago
Computing Trusted Authority Scores in Peer-to-Peer Web Search Networks
Peer-to-peer (P2P) networks have received great attention for sharing and searching information in large user communities. The open and anonymous nature of P2P networks is one of ...
Josiane Xavier Parreira, Debora Donato, Carlos Cas...
CORR
2010
Springer
175views Education» more  CORR 2010»
13 years 4 months ago
Improving the Performance of maxRPC
Max Restricted Path Consistency (maxRPC) is a local consistency for binary constraints that can achieve considerably stronger pruning than arc consistency. However, existing maxRPC...
Thanasis Balafoutis, Anastasia Paparrizou, Kostas ...