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» Variability and Component Composition
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CVPR
2008
IEEE
14 years 3 months ago
Unified Principal Component Analysis with generalized Covariance Matrix for face recognition
Recently, 2DPCA and its variants have attracted much attention in face recognition area. In this paper, some efforts are made to discover the underlying fundaments of these method...
Shiguang Shan, Bo Cao, Yu Su, Laiyun Qing, Xilin C...
GPB
2010
231views Solid Modeling» more  GPB 2010»
13 years 6 months ago
Mining Gene Expression Profiles: An Integrated Implementation of Kernel Principal Component Analysis and Singular Value Decompos
The detection of genes that show similar profiles under different experimental conditions is often an initial step in inferring the biological significance of such genes. Visualiz...
Ferran Reverter, Esteban Vegas, Pedro Sánch...
CSDA
2011
13 years 4 months ago
Mapping electron density in the ionosphere: A principal component MCMC algorithm
The outer layers of the Earth’s atmosphere are known as the ionosphere, a plasma of free electrons and positively charged atomic ions. The electron density of the ionosphere var...
Eman Khorsheed, Merrilee Hurn, Christopher Jenniso...
DAGSTUHL
2009
13 years 10 months ago
Using Architecture Models to Support the Generation and Operation of Component-Based Adaptive Systems
Modelling architectural information is particularly important because of the acknowledged crucial role of software architecture in raising the level of abstraction during developme...
Nelly Bencomo, Gordon S. Blair
ENGL
2006
84views more  ENGL 2006»
13 years 9 months ago
A framework for neural network to make business forecasting with hybrid VAR and GA components
Applying Vector Autoregression (VAR) and genetic algorithm (GA) in hybrid systems with neural network can improve the NN's prediction capability. Two case studies have been ca...
Sio Iong Ao