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» Nonlinear principal component analysis of noisy data
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CORR
2010
Springer
160views Education» more  CORR 2010»
13 years 7 months ago
PCA 4 DCA: The Application Of Principal Component Analysis To The Dendritic Cell Algorithm
As one of the newest members in the field of artificial immune systems (AIS), the Dendritic Cell Algorithm (DCA) is based on behavioural models of natural dendritic cells (DCs). U...
Feng Gu, Julie Greensmith, Robert Oates, Uwe Aicke...
IPAS
2010
13 years 5 months ago
An unsupervised learning approach for facial expression recognition using semi-definite programming and generalized principal co
In this paper, we consider facial expression recognition using an unsupervised learning framework. Specifically, given a data set composed of a number of facial images of the same...
Behnood Gholami, Wassim M. Haddad, Allen Tannenbau...
WEBI
2001
Springer
14 years 1 days ago
Collaborative Filtering Using Principal Component Analysis and Fuzzy Clustering
: Automated collaborative filtering is a popular technique for reducing information overload. In this paper, we propose a new approach for the collaborative filtering using local...
Katsuhiro Honda, Nobukazu Sugiura, Hidetomo Ichiha...
CSB
2005
IEEE
141views Bioinformatics» more  CSB 2005»
14 years 1 months ago
Joint Genomic and Metabolomic Analysis of Toxic Dose-Response Experiments
A methodology has been implemented for analyzing microarray and NMR spectral data obtained from the same set of toxic-exposure dose-response experiments. The NMR spectra additiona...
Gary L. Jahns, Nicholas J. DelRaso, Mark P. Westri...
ICPR
2006
IEEE
14 years 8 months ago
Multilinear Principal Component Analysis of Tensor Objects for Recognition
In this paper, a multilinear formulation of the popular Principal Component Analysis (PCA) is proposed, named as multilinear PCA (MPCA), where the input can be not only vectors, b...
Anastasios N. Venetsanopoulos, Haiping Lu, Konstan...