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» Prediction on Spike Data Using Kernel Algorithms
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ICCV
2007
IEEE
14 years 9 months ago
Detecting Illumination in Images
In this paper we present a surprisingly simple yet powerful method for detecting illumination--determining which pixels are lit by different lights--in images. Our method is based...
Clément Fredembach, Graham D. Finlayson, Ma...
CIKM
2008
Springer
13 years 9 months ago
Modeling LSH for performance tuning
Although Locality-Sensitive Hashing (LSH) is a promising approach to similarity search in high-dimensional spaces, it has not been considered practical partly because its search q...
Wei Dong, Zhe Wang, William Josephson, Moses Chari...
ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
13 years 5 months ago
Multi-label Feature Selection for Graph Classification
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...
Xiangnan Kong, Philip S. Yu
BIOINFORMATICS
2006
101views more  BIOINFORMATICS 2006»
13 years 7 months ago
A lock-and-key model for protein-protein interactions
Motivation: Protein-protein interaction networks are one of the major post-genomic data sources available to molecular biologists. They provide a comprehensive view of the global ...
Julie L. Morrison, Rainer Breitling, Desmond J. Hi...
JILP
2000
165views more  JILP 2000»
13 years 7 months ago
BMAT - A Binary Matching Tool for Stale Profile Propagation
A major challenge of applying profile-based optimization on large real-world applications is how to capture adequate profile information. A large program, especially a GUI-based a...
Zheng Wang, Ken Pierce, Scott McFarling