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» Magic Sets and Their Application to Data Integration
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RIVF
2008
13 years 8 months ago
Simple but effective methods for combining kernels in computational biology
Complex biological data generated from various experiments are stored in diverse data types in multiple datasets. By appropriately representing each biological dataset as a kernel ...
Hiroaki Tanabe, Tu Bao Ho, Canh Hao Nguyen, Saori ...
BMCBI
2010
173views more  BMCBI 2010»
13 years 7 months ago
The Yeast Resource Center Public Image Repository: A large database of fluorescence microscopy images
Background: There is increasing interest in the development of computational methods to analyze fluorescent microscopy images and enable automated large-scale analysis of the subc...
Michael Riffle, Trisha N. Davis
ICTAI
2010
IEEE
13 years 5 months ago
The BioASP Library: ASP Solutions for Systems Biology
Abstract--Today's molecular biology is confronted with enormous amounts of data, generated by new high-throughput technologies, along with an increasing number of biological m...
Martin Gebser, Arne König, Torsten Schaub, Sv...
KES
2008
Springer
13 years 7 months ago
Classification and Retrieval through Semantic Kernels
Abstract. This work proposes a family of language-independent semantic kernel functions defined for individuals in an ontology. This allows exploiting wellfounded kernel methods fo...
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
ICCV
2007
IEEE
14 years 9 months ago
Gradient Feature Selection for Online Boosting
Boosting has been widely applied in computer vision, especially after Viola and Jones's seminal work [23]. The marriage of rectangular features and integral-imageenabled fast...
Ting Yu, Xiaoming Liu 0002