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NIPS
2003
15 years 7 months ago
Learning a Distance Metric from Relative Comparisons
This paper presents a method for learning a distance metric from relative comparison such as “A is closer to B than A is to C”. Taking a Support Vector Machine (SVM) approach,...
Matthew Schultz, Thorsten Joachims

Book
498views
17 years 4 months ago
Machine Learning, Neural and Statistical Classification
This book covers several topics such as Classification, Classical Statistical Methods, Modern Statistical Techniques, Machine Learning of Rules and Trees, Neural Networks Methods ...
Ellis Horwood
ESANN
2007
15 years 7 months ago
One-class SVM regularization path and comparison with alpha seeding
One-class support vector machines (1-SVMs) estimate the level set of the underlying density observed data. Aside the kernel selection issue, one difficulty concerns the choice of t...
Alain Rakotomamonjy, Manuel Davy
VMV
2001
108views Visualization» more  VMV 2001»
15 years 7 months ago
A Theoretical Comparison of Monte Carlo Radiosity Algorithms
In this paper, we present a theoretical analysis of the error with three basic Monte Carlo radiosity algorithms, based on continuous collision shooting random walks, discrete coll...
Philippe Bekaert, Hans-Peter Seidel
CASCON
1996
89views Education» more  CASCON 1996»
15 years 7 months ago
A comparison of algorithms for interprocedural class analysis
Message passing overhead is often a substantial source of runtime overhead in object-oriented applications. To combat this performance problem, a number of techniques have been de...
David Grove