Title :
Extraction of attributes for visual object recognition and DNA microarray analysis
Author_Institution :
ENS Cachan
Abstract :
We introduce a new model formalizing selection of features from a large dictionary of variables that can be computed from a signal or an image. Features are extracted according to an efficiency criterion, on the basis of specified classification tasks. We estimate a probability distribution P on the complete dictionary, which distributes its mass over the more efficient or informative components. The method is then tested on several problems of signal processing like face detection, handwritten digit recognition and DNA microarray analysis
Keywords :
DNA; arrays; biological techniques; biology computing; face recognition; feature extraction; object recognition; statistical distributions; DNA microarray analysis; face detection; feature extraction; handwritten digit recognition; probability distribution; signal processing; visual object recognition; DNA; Dictionaries; Face detection; Face recognition; Feature extraction; Handwriting recognition; Object recognition; Probability distribution; Signal processing; Testing;
Conference_Titel :
Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on
Conference_Location :
Novosibirsk
Print_ISBN :
0-7803-9403-8
DOI :
10.1109/SSP.2005.1628809