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» The Generalized Dimensionality Reduction Problem
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SMA
2005
ACM
132views Solid Modeling» more  SMA 2005»
15 years 3 months ago
Simplified engineering analysis via medial mesh reduction
Numerous simplification methods have been proposed for speeding up engineering analysis/ simulation. A recently proposed medial axis reduction is one such method, that is particul...
Murari Sinha, Krishnan Suresh
SIAMJO
2010
100views more  SIAMJO 2010»
14 years 4 months ago
Explicit Sensor Network Localization using Semidefinite Representations and Facial Reductions
The sensor network localization, SNL , problem in embedding dimension r, consists of locating the positions of wireless sensors, given only the distances between sensors that are ...
Nathan Krislock, Henry Wolkowicz
SAC
2006
ACM
15 years 3 months ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
TMI
2010
298views more  TMI 2010»
14 years 4 months ago
An Efficient Numerical Method for General Lp Regularization in Fluorescence Molecular Tomography
Abstract--Reconstruction algorithms for fluorescence tomography have to address two crucial issues : (i) the ill-posedness of the reconstruction problem, (ii) the large scale of nu...
Jean-Charles Baritaux, Kai Hassler, Michael Unser
IV
2007
IEEE
160views Visualization» more  IV 2007»
15 years 4 months ago
Targeted Projection Pursuit for Interactive Exploration of High- Dimensional Data Sets
High-dimensional data is, by its nature, difficult to visualise. Many current techniques involve reducing the dimensionality of the data, which results in a loss of information. ...
Joe Faith