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ADC
1999
Springer
97views Database» more  ADC 1999»
15 years 10 months ago
Pseudo-Naive Evaluation
We introduce pseudo-naive evaluation, a method for execution of mixed top-down/bottom-up logic programs and deductive databases. The method is intermediate in power between naive ...
Donald A. Smith, Mark Utting
CIVR
2008
Springer
271views Image Analysis» more  CIVR 2008»
15 years 7 months ago
Multiple feature fusion by subspace learning
Since the emergence of extensive multimedia data, feature fusion has been more and more important for image and video retrieval, indexing and annotation. Existing feature fusion t...
Yun Fu, Liangliang Cao, Guodong Guo, Thomas S. Hua...
BIBE
2010
IEEE
144views Bioinformatics» more  BIBE 2010»
15 years 7 months ago
Knowledge-Guided Docking of Flexible Ligands to SH2 Domain Proteins
Studies of interactions between protein domains and ligands are important in many aspects such as cellular signaling and regulation. In this work, we applied a three-stage knowledg...
Haiyun Lu, Shamima Banu Bte Sm Rashid, Hao Li, Wee...
FGCS
2006
74views more  FGCS 2006»
15 years 6 months ago
A performance model of non-deterministic particle transport on large-scale systems
In this work we present a predictive analytical model that encompasses the performance and scaling characteristics of a nondeterministic particle transport application, MCNP (Mont...
Mark M. Mathis, Darren J. Kerbyson, Adolfy Hoisie
PR
2006
141views more  PR 2006»
15 years 6 months ago
Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
Hong Chang, Dit-Yan Yeung, William K. Cheung
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