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» Random hyperplane projection using derived dimensions
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MOBIDE
2010
ACM
13 years 5 months ago
Random hyperplane projection using derived dimensions
Konstantinos Georgoulas, Yannis Kotidis
COLT
2003
Springer
13 years 10 months ago
Learning with Rigorous Support Vector Machines
We examine the so-called rigorous support vector machine (RSVM) approach proposed by Vapnik (1998). The formulation of RSVM is derived by explicitly implementing the structural ris...
Jinbo Bi, Vladimir Vapnik
ICML
2002
IEEE
14 years 5 months ago
On generalization bounds, projection profile, and margin distribution
We study generalization properties of linear learning algorithms and develop a data dependent approach that is used to derive generalization bounds that depend on the margin distr...
Ashutosh Garg, Sariel Har-Peled, Dan Roth
SDM
2007
SIAM
133views Data Mining» more  SDM 2007»
13 years 6 months ago
On Point Sampling Versus Space Sampling for Dimensionality Reduction
In recent years, random projection has been used as a valuable tool for performing dimensionality reduction of high dimensional data. Starting with the seminal work of Johnson and...
Charu C. Aggarwal
CORR
2008
Springer
85views Education» more  CORR 2008»
13 years 4 months ago
Computationally Efficient Estimators for Dimension Reductions Using Stable Random Projections
The method of stable random projections is an efficient tool for computing the l distances using low memory, where 0 < 2 may be viewed as a tuning parameter. This method boil...
Ping Li