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» Feature Selection for Complex Patterns
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AUSAI
2003
Springer
14 years 2 months ago
Association Rule Discovery with Unbalanced Class Distributions
There are many methods for finding association rules in very large data. However it is well known that most general association rule discovery methods find too many rules, which...
Lifang Gu, Jiuyong Li, Hongxing He, Graham J. Will...
COST
2009
Springer
176views Multimedia» more  COST 2009»
14 years 1 months ago
Pathological Voice Analysis and Classification Based on Empirical Mode Decomposition
Empirical mode decomposition (EMD) is an algorithm for signal analysis recently introduced by Huang. It is a completely datadriven non-linear method for the decomposition of a sign...
Gastón Schlotthauer, María Eugenia T...
GIS
2010
ACM
13 years 7 months ago
CBGIR: content-based geographic image retrieval
We describe and demonstrate CBGIR, a web-based system for performing content-based image retrieval in large sets of high-resolution overhead images. The system provides a familiar...
Shawn Newsam, Daniel Leung, Oscar Caballero, Justi...
MICCAI
2010
Springer
13 years 7 months ago
Generalized Sparse Classifiers for Decoding Cognitive States in fMRI
The high dimensionality of functional magnetic resonance imaging (fMRI) data presents major challenges to fMRI pattern classification. Directly applying standard classifiers often ...
Bernard Ng, Arash Vahdat, Ghassan Hamarneh, Rafeef...
EUSFLAT
2009
343views Fuzzy Logic» more  EUSFLAT 2009»
13 years 6 months ago
Towards an Interpretation of the Connectivity Analysis in the Frame of Fuzzy Equivalence Relations for Medical Diagnoses
Connectivity analysis methodology is suitable to find representative symptoms of a disease. This methodology describes connections between symptoms in particular way and then choos...
Tatiana Kiseliova