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SDM
2009
SIAM
180views Data Mining» more  SDM 2009»
14 years 5 months ago
Hierarchical Linear Discriminant Analysis for Beamforming.
This paper demonstrates the applicability of the recently proposed supervised dimension reduction, hierarchical linear discriminant analysis (h-LDA) to a well-known spatial locali...
Barry L. Drake, Haesun Park, Jaegul Choo
TNN
2008
105views more  TNN 2008»
13 years 8 months ago
Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection
Abstract--High-dimensional data are common in many domains, and dimensionality reduction is the key to cope with the curse-of-dimensionality. Linear discriminant analysis (LDA) is ...
Shuiwang Ji, Jieping Ye
DAC
2007
ACM
14 years 9 months ago
An Integer Linear Programming Based Routing Algorithm for Flip-Chip Design
The flip-chip package provides a high chip-density solution to the demand for more I/O pads of VLSI designs. In this paper, we present the first routing algorithm in the literatur...
Jia-Wei Fang, Chin-Hsiung Hsu, Yao-Wen Chang
IJON
1998
158views more  IJON 1998»
13 years 8 months ago
Bayesian Kullback Ying-Yang dependence reduction theory
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
Lei Xu
WAN
1998
Springer
14 years 26 days ago
Some Performance Studies in Exact Linear Algebra
We consider parallel algorithms for computing the Hermite normal form of matrices over Euclidean rings. We use standard types of reduction methods which are the basis of many algor...
George Havas, Clemens Wagner 0002