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» Principal Component Analysis Based on L1-Norm Maximization
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ICML
2006
IEEE
14 years 8 months ago
Robust probabilistic projections
Principal components and canonical correlations are at the root of many exploratory data mining techniques and provide standard pre-processing tools in machine learning. Lately, p...
Cédric Archambeau, Michel Verleysen, Nicola...
ISBI
2007
IEEE
14 years 1 months ago
An Effective and Efficient Technique for Searching for Similar Brain Activation Patterns
In this paper, we introduce a new approach for content-based similarity search for brain images. Based on the keyblock representation, our framework employs the Principal Componen...
Jingjing Zhang, Vasileios Megalooikonomou
ACSAC
2001
IEEE
13 years 11 months ago
Information Flow Analysis of Component-Structured Applications
Software component technology facilitates the costeffective development of specialized applications. Nevertheless, due to the high number of principals involved in a component-str...
Peter Herrmann
AIPR
2003
IEEE
14 years 27 days ago
Band Selection Using Independent Component Analysis for Hyperspectral Image Processing
Although hyperspectral images provide abundant information about objects, their high dimensionality also substantially increases computational burden. Dimensionality reduction off...
Hongtao Du, Hairong Qi, Xiaoling Wang, Rajeev Rama...
CAEPIA
2003
Springer
14 years 25 days ago
Rotation-Based Ensembles
A new method for ensemble generation is presented. It is based on grouping the attributes in dierent subgroups, and to apply, for each group, an axis rotation, using Principal Com...
Juan José Rodríguez, Carlos J. Alons...