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WWW
2008
ACM
16 years 12 days ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
BMCBI
2007
115views more  BMCBI 2007»
14 years 11 months ago
Local comparison of protein structures highlights cases of convergent evolution in analogous functional sites
Background: We performed an exhaustive search for local structural similarities in an ensemble of non-redundant protein functional sites. With the purpose of finding new examples ...
Gabriele Ausiello, Daniele Peluso, Allegra Via, Ma...
JCS
2011
138views more  JCS 2011»
14 years 2 months ago
Automatic analysis of malware behavior using machine learning
Malicious software—so called malware—poses a major threat to the security of computer systems. The amount and diversity of its variants render classic security defenses ineffe...
Konrad Rieck, Philipp Trinius, Carsten Willems, Th...
CVPR
2010
IEEE
15 years 7 months ago
Online Multiclass LPBoost
Online boosting is one of the most successful online learning algorithms in computer vision. While many challenging online learning problems are inherently multi-class, online boo...
Amir Saffari, Martin Godec, Thomas Pock, Christian...
ICCV
2005
IEEE
15 years 5 months ago
Resolving Hand over Face Occlusion
Abstract. This paper presents a method to segment the hand over complex backgrounds, such as the face. The similar colors and texture of the hand and face make the problem particul...
Paul Smith, Niels da Vitoria Lobo, Mubarak Shah