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CSDA
2007
128views more  CSDA 2007»
13 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
TCAD
2008
127views more  TCAD 2008»
13 years 7 months ago
Speculative Loop-Pipelining in Binary Translation for Hardware Acceleration
Abstract--Multimedia and DSP applications have several computationally intensive kernels which are often offloaded and accelerated by application-specific hardware. This paper pres...
Sejong Oh, Tag Gon Kim, Jeonghun Cho, Elaheh Bozor...
TITB
2008
102views more  TITB 2008»
13 years 7 months ago
Nonlinear Support Vector Machine Visualization for Risk Factor Analysis Using Nomograms and Localized Radial Basis Function Kern
Nonlinear classifiers, e.g., support vector machines (SVMs) with radial basis function (RBF) kernels, have been used widely for automatic diagnosis of diseases because of their hig...
Baek Hwan Cho, Hwanjo Yu, Jong Shill Lee, Young Jo...
SMA
2009
ACM
208views Solid Modeling» more  SMA 2009»
14 years 2 months ago
Accelerating geometric queries using the GPU
We present practical algorithms for accelerating geometric queries on models made of NURBS surfaces using programmable Graphics Processing Units (GPUs). We provide a generalized f...
Adarsh Krishnamurthy, Sara McMains, Kirk Haller
NECO
2000
190views more  NECO 2000»
13 years 7 months ago
Generalized Discriminant Analysis Using a Kernel Approach
We present a new method that we call Generalized Discriminant Analysis (GDA) to deal with nonlinear discriminant analysis using kernel function operator. The underlying theory is ...
G. Baudat, Fatiha Anouar