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» Generalized Principal Component Analysis (GPCA)
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TNN
2008
128views more  TNN 2008»
13 years 8 months ago
Nonnegative Matrix Factorization in Polynomial Feature Space
Abstract--Plenty of methods have been proposed in order to discover latent variables (features) in data sets. Such approaches include the principal component analysis (PCA), indepe...
Ioan Buciu, Nikos Nikolaidis, Ioannis Pitas
MINENET
2005
ACM
14 years 2 months ago
A first step toward understanding inter-domain routing dynamics
BGP updates are triggered by a variety of events such as link failures, resets, routers crashing, configuration changes, and so on. Making sense of these updates and identifying ...
Kuai Xu, Jaideep Chandrashekar, Zhi-Li Zhang
HICSS
1998
IEEE
176views Biometrics» more  HICSS 1998»
14 years 26 days ago
Intelligent System for Reading Handwriting on Forms
The National Institute of Standards and Technology (NIST) has developed a form-based handprint recognition system for reading information written on forms. This public domain soft...
Michael D. Garris
ICASSP
2008
IEEE
14 years 3 months ago
A study of using locality preserving projections for feature extraction in speech recognition
This paper presents a new approach to feature analysis in automatic speech recognition (ASR) based on locality preserving projections (LPP). LPP is a manifold based dimensionality...
Yun Tang, Richard Rose
ICB
2007
Springer
188views Biometrics» more  ICB 2007»
13 years 10 months ago
Color Face Tensor Factorization and Slicing for Illumination-Robust Recognition
In this paper we present a face recognition method based on multiway analysis of color face images, which is robust to varying illumination conditions. Illumination changes cause l...
Yong-Deok Kim, Seungjin Choi