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PKDD
2004
Springer
116views Data Mining» more  PKDD 2004»
13 years 10 months ago
Random Matrices in Data Analysis
We show how carefully crafted random matrices can achieve distance-preserving dimensionality reduction, accelerate spectral computations, and reduce the sample complexity of certai...
Dimitris Achlioptas

Lecture Notes
1858views
15 years 2 months ago
Computational Physics
Easy to follow lecture notes on Computational Physics.
Alexander L. Godunov
GI
2009
Springer
13 years 2 months ago
Tracking of Extended Objects and Group Targets using Random Matrices - A Performance Analysis
: The task of tracking extended objects or (partly) unresolvable group targets raises new challenges for both data association and track maintenance. Due to limited sensor resoluti...
Michael Feldmann, Dietrich Fraenken
ICDM
2010
IEEE
108views Data Mining» more  ICDM 2010»
13 years 2 months ago
Assessing Data Mining Results on Matrices with Randomization
Abstract--Randomization is a general technique for evaluating the significance of data analysis results. In randomizationbased significance testing, a result is considered to be in...
Markus Ojala
APPROX
2006
Springer
107views Algorithms» more  APPROX 2006»
13 years 8 months ago
A Fast Random Sampling Algorithm for Sparsifying Matrices
We describe a simple random-sampling based procedure for producing sparse matrix approximations. Our procedure and analysis are extremely simple: the analysis uses nothing more th...
Sanjeev Arora, Elad Hazan, Satyen Kale