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» Independent component analysis for noisy speech recognition
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IJCNN
2007
IEEE
15 years 8 months ago
FEBAM: A Feature-Extracting Bidirectional Associative Memory
—In this paper, a new model that can ultimately create its own set of perceptual features is proposed. Using a bidirectional associative memory (BAM)-inspired architecture, the r...
Sylvain Chartier, Gyslain Giguère, Patrice ...
104
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TNN
2008
122views more  TNN 2008»
15 years 1 months ago
Two-Microphone Separation of Speech Mixtures
Separation of speech mixtures, often referred to as the cocktail party problem, has been studied for decades. In many source separation tasks, the separation method is limited by t...
Michael Syskind Pedersen, DeLiang Wang, Jan Larsen...
ICMCS
2005
IEEE
138views Multimedia» more  ICMCS 2005»
15 years 7 months ago
Overcomplete ICA-based Manmade Scene Classification
Principal Component Analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition. Oliva and Torralba used “spatial envelop...
Matthew Boutell, Jiebo Luo
ICA
2004
Springer
15 years 7 months ago
3D Spatial Analysis of fMRI Data on a Word Perception Task
We discuss a 3D spatial analysis of fMRI data taken during a combined word perception and motor task. The event - based experiment was part of a study to investigate the network of...
Ingo R. Keck, Fabian J. Theis, Peter Gruber, Elmar...
BMVC
2000
15 years 3 months ago
Data and Decision Level Fusion of Temporal Information for Automatic Target Recognition
Automatic Target Recognition (ATR) is a demanding application that requires separation of targets from a noisy background in a sequence of images. In our previous work [5] the bac...
Kieron Messer, Josef Kittler