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» The SPARAMAT Approach to Automatic Comprehension of Sparse M...
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121
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IPPS
2009
IEEE
15 years 7 months ago
Annotation-based empirical performance tuning using Orio
In many scientific applications, significant time is spent tuning codes for a particular highperformance architecture. Tuning approaches range from the relatively nonintrusive (...
Albert Hartono, Boyana Norris, Ponnuswamy Sadayapp...
116
Voted
FOCM
2002
140views more  FOCM 2002»
15 years 28 days ago
Adaptive Wavelet Methods II - Beyond the Elliptic Case
This paper is concerned with the design and analysis of adaptive wavelet methods for systems of operator equations. Its main accomplishment is to extend the range of applicability...
Albert Cohen, Wolfgang Dahmen, Ronald A. DeVore
BMCBI
2011
14 years 7 months ago
Phenotype Recognition with Combined Features and Random Subspace Classifier Ensemble
Background: Automated, image based high-content screening is a fundamental tool for discovery in biological science. Modern robotic fluorescence microscopes are able to capture th...
Bailing Zhang, Tuan D. Pham
143
Voted
ACCV
2006
Springer
15 years 3 months ago
Learning Multi-category Classification in Bayesian Framework
Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...
Atul Kanaujia, Dimitris N. Metaxas