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» A fuzzy approach to automatic data locality optimization
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ICS
2010
Tsinghua U.
15 years 2 months ago
Cache oblivious parallelograms in iterative stencil computations
We present a new cache oblivious scheme for iterative stencil computations that performs beyond system bandwidth limitations as though gigabytes of data could reside in an enormou...
Robert Strzodka, Mohammed Shaheen, Dawid Pajak, Ha...
SAC
2008
ACM
14 years 9 months ago
Towards automatic feature vector optimization for multimedia applications
We systematically evaluate a recently proposed method for unsupervised discrimination power analysis for feature selection and optimization in multimedia applications. A series of...
Tobias Schreck, Dieter W. Fellner, Daniel A. Keim
IVS
2007
110views more  IVS 2007»
14 years 9 months ago
An automated approach for the optimization of pixel-based visualizations
During the last two decades, a wide variety of advanced methods for the visual exploration of large data sets have been proposed. For most of these techniques user interaction has...
Jörn Schneidewind, Mike Sips, Daniel A. Keim
CEC
2009
IEEE
15 years 4 months ago
A Bacterial Evolutionary Algorithm for automatic data clustering
This paper describes an evolutionary clustering algorithm, which can partition a given dataset automatically into the optimal number of groups through one shot of optimization. The...
Swagatam Das, Archana Chowdhury, Ajith Abraham
MICCAI
2006
Springer
15 years 10 months ago
A Nonparametric Bayesian Approach to Detecting Spatial Activation Patterns in fMRI Data
Traditional techniques for statistical fMRI analysis are often based on thresholding of individual voxel values or averaging voxel values over a region of interest. In this paper w...
Hal S. Stern, Padhraic Smyth, Seyoung Kim