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JMLR
2012
11 years 11 months ago
Sparse Higher-Order Principal Components Analysis
Traditional tensor decompositions such as the CANDECOMP / PARAFAC (CP) and Tucker decompositions yield higher-order principal components that have been used to understand tensor d...
Genevera Allen
DAS
2006
Springer
14 years 18 days ago
Bangla/English Script Identification Based on Analysis of Connected Component Profiles
Script identification is required for a multilingual OCR system. In this paper, we present a novel and efficient technique for Bangla/English script identification with application...
Lijun Zhou, Yue Lu, Chew Lim Tan
ICIP
2005
IEEE
14 years 10 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
14 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
14 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...