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CIARP
2006
Springer
15 years 8 months ago
Robustness Analysis of the Neural Gas Learning Algorithm
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...
Carolina Saavedra, Sebastián Moreno, Rodrig...
KDD
2010
ACM
287views Data Mining» more  KDD 2010»
15 years 8 months ago
Designing efficient cascaded classifiers: tradeoff between accuracy and cost
We propose a method to train a cascade of classifiers by simultaneously optimizing all its stages. The approach relies on the idea of optimizing soft cascades. In particular, inst...
Vikas C. Raykar, Balaji Krishnapuram, Shipeng Yu
MCS
2010
Springer
15 years 8 months ago
Choosing Parameters for Random Subspace Ensembles for fMRI Classification
Abstract. Functional magnetic resonance imaging (fMRI) is a noninvasive and powerful method for analysis of the operational mechanisms of the brain. fMRI classification poses a sev...
Ludmila I. Kuncheva, Catrin O. Plumpton
ESANN
2004
15 years 8 months ago
A Modular Framework for Multi category feature selection in Digital mammography
Many existing researches utilized many different approaches for recognition in digital mammography using various ANN classifier-modeling techniques. Different types of feature extr...
Ranadhir Ghosh, Moumita Ghosh, John Yearwood
FLAIRS
2006
15 years 8 months ago
Melody Track Identification in Music Symbolic Files
Standard MIDI files contain data that can be considered as a symbolic representation of music (a digital score), and most of them are structured as a number of tracks, one of them...
David Rizo, Pedro J. Ponce de León, Antonio...