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CSDA
2007
128views more  CSDA 2007»
15 years 7 months ago
Regularized linear and kernel redundancy analysis
Redundancy analysis (RA) is a versatile technique used to predict multivariate criterion variables from multivariate predictor variables. The reduced-rank feature of RA captures r...
Yoshio Takane, Heungsun Hwang
PRL
2008
133views more  PRL 2008»
15 years 7 months ago
Better multiclass classification via a margin-optimized single binary problem
We develop a new multiclass classification method that reduces the multiclass problem to a single binary classifier (SBC). Our method constructs the binary problem by embedding sm...
Ran El-Yaniv, Dmitry Pechyony, Elad Yom-Tov
SIAMJO
2008
79views more  SIAMJO 2008»
15 years 7 months ago
A Class of Inexact Variable Metric Proximal Point Algorithms
For the problem of solving maximal monotone inclusions, we present a rather general class of algorithms, which contains hybrid inexact proximal point methods as a special case and ...
Lisandro A. Parente, Pablo A. Lotito, Mikhail V. S...
TCSV
2008
87views more  TCSV 2008»
15 years 7 months ago
On Iterative Regularization and Its Application
Many existing techniques for image restoration can be expressed in terms of minimizing a particular cost function. Iterative regularization methods are a novel variation on this th...
Michael R. Charest, Peyman Milanfar
TIT
2008
119views more  TIT 2008»
15 years 7 months ago
Asymptotic Properties of the Detrended Fluctuation Analysis of Long-Range-Dependent Processes
In the past few years, a certain number of authors have proposed analysis methods of the time series built from a long range dependence noise. One of these methods is the Detrended...
Jean-Marc Bardet, Imen Kammoun