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SDM
2007
SIAM
182views Data Mining» more  SDM 2007»
13 years 9 months ago
Distance Preserving Dimension Reduction for Manifold Learning
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
Hyunsoo Kim, Haesun Park, Hongyuan Zha
IEEEPACT
2009
IEEE
14 years 2 months ago
Automatic Tuning of Discrete Fourier Transforms Driven by Analytical Modeling
—Analytical models have been used to estimate optimal values for parameters such as tile sizes in the context of loop nests. However, important algorithms such as fast Fourier tr...
Basilio B. Fraguela, Yevgen Voronenko, Markus P&uu...
UC
2009
Springer
14 years 2 months ago
Brain Dynamics Promotes Function
Abstract. Dynamical structure in the brain promotes biological function. Natural scientists look for correlations between measured electrical signals and behavior or mental states....
Carlos Lourenço
MOBIHOC
2003
ACM
14 years 1 months ago
Mobility modelling and trajectory prediction for cellular networks with mobile base stations
This paper provides mobility estimation and prediction for a variant of GSM network which resembles an adhoc wireless mobile network where base stations and users are both mobile....
Pubudu N. Pathirana, Andrey V. Savkin, Sanjay Jha
GECCO
2010
Springer
127views Optimization» more  GECCO 2010»
13 years 6 months ago
Set-based multi-objective optimization, indicators, and deteriorative cycles
Evolutionary multi-objective optimization deals with the task of computing a minimal set of search points according to a given set of objective functions. The task has been made e...
Rudolf Berghammer, Tobias Friedrich, Frank Neumann