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PR
2008
129views more  PR 2008»
13 years 8 months ago
A comparison of generalized linear discriminant analysis algorithms
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
Cheong Hee Park, Haesun Park
DAC
2008
ACM
13 years 10 months ago
DeMOR: decentralized model order reduction of linear networks with massive ports
Model order reduction is an efficient technique to reduce the system complexity while producing a good approximation of the input-output behavior. However, the efficiency of reduc...
Boyuan Yan, Lingfei Zhou, Sheldon X.-D. Tan, Jie C...
PAMI
2008
162views more  PAMI 2008»
13 years 8 months ago
Dimensionality Reduction of Clustered Data Sets
We present a novel probabilistic latent variable model to perform linear dimensionality reduction on data sets which contain clusters. We prove that the maximum likelihood solution...
Guido Sanguinetti
GLOBECOM
2008
IEEE
14 years 3 months ago
A Maximum-Likelihood Decoder with a New Reduction Strategy for MIMO Channel Systems
—An efficient maximum-likelihood decoder with a new reduction strategy is proposed for linear MIMO channel systems. Unlike the current reduction strategies which only reorder th...
Xiao-Wen Chang, Xiaohua Yang
ICPR
2008
IEEE
14 years 9 months ago
An empirical comparison of graph-based dimensionality reduction algorithms on facial expression recognition tasks
Facial expression recognition is a topic of interest both in industry and academia. Recent approaches to facial expression recognition are based on mapping expressions to low dime...
José Miguel Buenaposada, Li He, Luis Baumel...