DocumentCode :
1898062
Title :
Extraction of attributes for visual object recognition and DNA microarray analysis
Author :
Gadat, S.
Author_Institution :
ENS Cachan
fYear :
2005
fDate :
17-20 July 2005
Firstpage :
1370
Lastpage :
1375
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;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on
Conference_Location :
Novosibirsk
Print_ISBN :
0-7803-9403-8
Type :
conf
DOI :
10.1109/SSP.2005.1628809
Filename :
1628809
Link To Document :
بازگشت