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ICIP
2005
IEEE
15 years 11 months ago
Largest-eigenvalue-theory for incremental principal component analysis
In this paper, we present a novel algorithm for incremental principal component analysis. Based on the LargestEigenvalue-Theory, i.e. the eigenvector associated with the largest ei...
Shuicheng Yan, Xiaoou Tang
ICPR
2006
IEEE
15 years 10 months ago
Component Analysis of Torah Code Phrases
In this paper, we develop a new tool, called Component Analysis (CA), to study the significance of long Torah Code phrases. CA quantifies the relevance of such a phrase, by compar...
Art Levitt
ICA
2007
Springer
15 years 3 months ago
Sparse Component Analysis in Presence of Noise Using an Iterative EM-MAP Algorithm
Abstract. In this paper, a new algorithm for source recovery in underdetermined Sparse Component Analysis (SCA) or atomic decomposition on over-complete dictionaries is presented i...
Hadi Zayyani, Massoud Babaie-Zadeh, G. Hosein Mohi...
ISQED
2000
IEEE
117views Hardware» more  ISQED 2000»
15 years 2 months ago
Realistic Worst-Case Modeling by Performance Level Principal Component Analysis
A new algorithm to determine the number and value of realistic worst-case models for the performance of module library components is presented in this paper. The proposed algorith...
Alessandra Nardi, Andrea Neviani, Carlo Guardiani
IJON
2006
180views more  IJON 2006»
14 years 9 months ago
Nonnegative independent component analysis based on minimizing mutual information technique
A novel neural network technique for nonnegative independent component analysis is proposed in this letter. Compared with other algorithms, this method can work efficiently even w...
Chun-Hou Zheng, De-Shuang Huang, Zhan-Li Sun, Mich...