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PR
2008
129views more  PR 2008»
14 years 12 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
15 years 1 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»
14 years 11 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
15 years 6 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
16 years 1 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...