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» On Discriminative Semi-Supervised Classification
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MICCAI
2003
Springer
14 years 8 months ago
Patient Classification of fMRI Activation Maps
The analysis of brain activations using functional magnetic resonance imaging (fMRI) is an active area of neuropsychological research. Standard techniques for analysis have traditi...
James Ford, Hany Farid, Fillia Makedon, Laura A. F...
CVPR
2010
IEEE
14 years 4 months ago
Sufficient Dimensionality Reduction for Visual Sequence Classification
When classifying high-dimensional sequence data, traditional methods (e.g., HMMs, CRFs) may require large amounts of training data to avoid overfitting. In such cases dimensional...
Alex Shyr, Raquel Urtasun, Michael Jordan
ICMCS
2006
IEEE
173views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Applying Supervised Classifiers Based on Non-negative Matrix Factorization to Musical Instrument Classification
In this paper, a new approach for automatic audio classification using non-negative matrix factorization (NMF) is presented. Training is performed onto each audio class individua...
Emmanouil Benetos, Margarita Kotti, Constantine Ko...
ICMCS
2005
IEEE
145views Multimedia» more  ICMCS 2005»
14 years 1 months ago
From Physiological Signals to Emotions: Implementing and Comparing Selected Methods for Feature Extraction and Classification
Little attention has been paid so far to physiological signals for emotion recognition compared to audio-visual emotion channels, such as facial expressions or speech. In this pap...
Johannes Wagner, Jonghwa Kim, Elisabeth Andr&eacut...
COST
2009
Springer
176views Multimedia» more  COST 2009»
14 years 16 days 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...