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» Transformation-Invariant Embedding for Image Analysis
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ECCV
2004
Springer
14 years 6 months ago
Transformation-Invariant Embedding for Image Analysis
Abstract. Dimensionality reduction is an essential aspect of visual processing. Traditionally, linear dimensionality reduction techniques such as principle components analysis have...
Ali Ghodsi, Jiayuan Huang, Dale Schuurmans
ICIAP
2007
ACM
14 years 4 months ago
Transformation invariant SOM clustering in Document Image Analysis
In this paper, we propose the combination of the Self Organizing Map (SOM) and of the tangent distance for effective clustering in Document Image Analysis. The proposed model (SOM...
Simone Marinai, Emanuele Marino, Giovanni Soda
IJCV
2008
155views more  IJCV 2008»
13 years 4 months ago
Fast Transformation-Invariant Component Analysis
For software and more illustrations: http://www.psi.utoronto.ca/anitha/fastTCA.htm Dimensionality reduction techniques such as principal component analysis and factor analysis are...
Anitha Kannan, Nebojsa Jojic, Brendan J. Frey
ICPR
2006
IEEE
13 years 10 months ago
Transformation Invariance in Hand Shape Recognition
In hand shape recognition, transformation invariance is key for successful recognition. We propose a system that is invariant to small scale, translation and shape variations. Thi...
Thomas Coogan, Alistair Sutherland