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» A data driven method for feature transformation
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JMLR
2010
108views more  JMLR 2010»
13 years 6 months ago
Second-Order Bilinear Discriminant Analysis
Traditional analysis methods for single-trial classification of electro-encephalography (EEG) focus on two types of paradigms: phase-locked methods, in which the amplitude of the...
Christoforos Christoforou, Robert M. Haralick, Pau...
PR
2007
165views more  PR 2007»
13 years 7 months ago
A trainable feature extractor for handwritten digit recognition
This article focusses on the problems of feature extraction and the recognition of handwritten digits. A trainable feature extractor based on the LeNet5 convolutional neural netwo...
Fabien Lauer, Ching Y. Suen, Gérard Bloch
ICPR
2006
IEEE
14 years 1 months ago
Audio Segmentation and Speaker Localization in Meeting Videos
Segmenting different individuals in a group meeting and their speech is an important first step for various tasks such as meeting transcription, automatic camera panning, multime...
Himanshu Vajaria, Tanmoy Islam, Sudeep Sarkar, Rav...
ICASSP
2010
IEEE
13 years 6 months ago
CBCD based on color features and landmark MDS-assisted distance estimation
Content-Based Copy Detection (CBCD) of digital videos is an important research field that aims at the identification of modified copies of an original clip, e.g., on the Intern...
Marzia Corvaglia, Fabrizio Guerrini, Riccardo Leon...
IJCNN
2008
IEEE
14 years 2 months ago
On the learning of nonlinear visual features from natural images by optimizing response energies
— The operation of V1 simple cells in primates has been traditionally modelled with linear models resembling Gabor filters, whereas the functionality of subsequent visual cortic...
Jussi T. Lindgren, Aapo Hyvärinen