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» Learning Functions from Imperfect Positive Data
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ECCV
2004
Springer
14 years 10 months ago
A Robust Algorithm for Characterizing Anisotropic Local Structures
This paper proposes a robust estimation and validation framework for characterizing local structures in a positive multi-variate continuous function approximated by a Gaussian-base...
Kazunori Okada, Dorin Comaniciu, Navneet Dalal, Ar...
LCPC
2000
Springer
14 years 9 days ago
Efficient Dynamic Local Enumeration for HPF
In translating HPF programs, a compiler has to generate local iteration and communication sets. Apart from local enumeration, local storage compression is an issue, because in HPF ...
Will Denissen, Henk J. Sips
BMCBI
2007
155views more  BMCBI 2007»
13 years 8 months ago
ProCMD: a database and 3D web resource for protein C mutants
Background: Activated Protein C (ProC) is an anticoagulant plasma serine protease which also plays an important role in controlling inflammation and cell proliferation. Several mu...
Pasqualina D'Ursi, Francesca Marino, Andrea Caprer...
CGO
2010
IEEE
14 years 3 months ago
Automatic creation of tile size selection models
Tiling is a widely used loop transformation for exposing/exploiting parallelism and data locality. Effective use of tiling requires selection and tuning of the tile sizes. This is...
Tomofumi Yuki, Lakshminarayanan Renganarayanan, Sa...
ML
2006
ACM
143views Machine Learning» more  ML 2006»
13 years 8 months ago
Mathematical applications of inductive logic programming
The application of Inductive Logic Programming to scientific datasets has been highly successful. Such applications have led to breakthroughs in the domain of interest and have dri...
Simon Colton, Stephen Muggleton