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» A General Method for Feature Matching and Model Extraction
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176
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ICSE
2010
IEEE-ACM
15 years 5 months ago
Supporting developers with natural language queries
The feature list of modern IDEs is steadily growing and mastering these tools becomes more and more demanding, especially for novice programmers. Despite their remarkable capabili...
Michael Würsch, Giacomo Ghezzi, Gerald Reif, ...
173
Voted
ACCV
2006
Springer
15 years 5 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
TLDI
2009
ACM
169views Formal Methods» more  TLDI 2009»
16 years 15 days ago
Relational parametricity for references and recursive types
We present a possible world semantics for a call-by-value higherorder programming language with impredicative polymorphism, general references, and recursive types. The model is o...
Lars Birkedal, Kristian Støvring, Jacob Tha...
129
Voted
BMCBI
2008
117views more  BMCBI 2008»
15 years 3 months ago
An iterative block-shifting approach to retention time alignment that preserves the shape and area of gas chromatography-mass sp
Background: Metabolomics, petroleum and biodiesel chemistry, biomarker discovery, and other fields which rely on high-resolution profiling of complex chemical mixtures generate da...
Minho Chae, Robert J. Shmookler Reis, John J. Thad...
134
Voted
WAPCV
2004
Springer
15 years 9 months ago
Learning of Position-Invariant Object Representation Across Attention Shifts
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
Muhua Li, James J. Clark