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» Visual nonlinear discriminant analysis for classifier design
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EOR
2007
165views more  EOR 2007»
13 years 8 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang
BMCBI
2007
194views more  BMCBI 2007»
13 years 8 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
GREC
2007
Springer
14 years 13 days ago
Developing Domain-Specific Gesture Recognizers for Smart Diagram Environments
Computer understanding of visual languages in pen-based environments requires a combination of lexical analysis in which the basic tokens are recognized from hand-drawn gestures an...
Adrian C. Bickerstaffe, Aidan Lane, Bernd Meyer, K...
MICCAI
2009
Springer
14 years 9 months ago
Topological Characterization of Signal in Brain Images Using Min-Max Diagrams
Abstract. We present a novel computational framework for characterizing signal in brain images via nonlinear pairing of critical values of the signal. Among the astronomically larg...
Moo K. Chung, Vikas Singh, Peter T. Kim, Kim M....
SCIA
2007
Springer
182views Image Analysis» more  SCIA 2007»
14 years 2 months ago
The Statistical Properties of Local Log-Contrast in Natural Images
Abstract. The study of natural image statistics considers the statistical properties of large collections of images from natural scenes, and has applications in image processing, c...
Jussi T. Lindgren, Jarmo Hurri, Aapo Hyvärine...