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TNN
2008
105views more  TNN 2008»
15 years 6 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
COMPLIFE
2006
Springer
15 years 10 months ago
Set-Oriented Dimension Reduction: Localizing Principal Component Analysis Via Hidden Markov Models
We present a method for simultaneous dimension reduction and metastability analysis of high dimensional time series. The approach is based on the combination of hidden Markov model...
Illia Horenko, Johannes Schmidt-Ehrenberg, Christo...
NIPS
2007
15 years 8 months ago
An Analysis of Inference with the Universum
We study a pattern classification algorithm which has recently been proposed by Vapnik and coworkers. It builds on a new inductive principle which assumes that in addition to pos...
Fabian H. Sinz, Olivier Chapelle, Alekh Agarwal, B...
IJCNN
2007
IEEE
16 years 26 days ago
Random Feature Subset Selection for Analysis of Data with Missing Features
Abstract - We discuss an ensemble-of-classifiers based algorithm for the missing feature problem. The proposed approach is inspired in part by the random subspace method, and in pa...
Joseph DePasquale, Robi Polikar
BROADNETS
2005
IEEE
16 years 5 days ago
Performance analysis and enhancement for backbone based wireless mobile ad hoc networks
—In this paper, we present an extended Mobile Backbone Network (MBN) topology synthesis algorithm (ETSA) for constructing and maintaining a dynamic backbone structure in mobile w...
Laura Huei-jiun Ju, Izhak Rubin