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CVPR
2008
IEEE
14 years 11 months ago
A unified framework for generalized Linear Discriminant Analysis
Linear Discriminant Analysis (LDA) is one of the wellknown methods for supervised dimensionality reduction. Over the years, many LDA-based algorithms have been developed to cope w...
Shuiwang Ji, Jieping Ye
CORR
2010
Springer
182views Education» more  CORR 2010»
13 years 9 months ago
SPOT: An R Package For Automatic and Interactive Tuning of Optimization Algorithms by Sequential Parameter Optimization
The sequential parameter optimization (spot) package for R (R Development Core Team, 2008) is a toolbox for tuning and understanding simulation and optimization algorithms. Model-...
Thomas Bartz-Beielstein
DAM
2008
68views more  DAM 2008»
13 years 9 months ago
Parameterized algorithmics for linear arrangement problems
We discuss different variants of linear arrangement problems from a parameterized perspective. More specifically, we concentrate on developing simple search tree algorithms for th...
Henning Fernau
CAV
2008
Springer
108views Hardware» more  CAV 2008»
13 years 11 months ago
Reducing Concurrent Analysis Under a Context Bound to Sequential Analysis
This paper addresses the analysis of concurrent programs with shared memory. Such an analysis is undecidable in the presence of multiple procedures. One approach used in recent wor...
Akash Lal, Thomas W. Reps
ACMSE
2005
ACM
14 years 3 months ago
A metaprogramming approach to generating optimized code for algorithms in linear algebra
an extended abstract for a poster that presents a new approach that employs metaprogramming to generate optimized code for algorithms in Linear Algebra. Categories and Subject Des...
Najaf A. Shah, Anthony Skjellum