Feature reduction using support vector machines for binary gas detection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2687, Issue , 2003, Pages 798-805

  Maldonado Bascon S ^a   Al Khalifa, S ^b   Lopez Ferreras F ^a  

^a UNIVERSITY OF ALCALÁ   (Spain)

^b UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BINARY GAS; CO AND NO; ELECTRONIC NOSE; FEATURE REDUCTION; FIRE DETECTION; FOOD QUALITY; GAS CONCENTRATION; GAS DETECTION; GAS MONITOR; GAS SENSORS; LOW COMPLEXITY ALGORITHM; LOW COSTS; SIGNAL PROCESSING TECHNIQUE; FOOD QUALITY CONTROLS;

ARTIFICIAL ORGANS; COMPUTATIONAL COMPLEXITY; GAS DETECTORS; IMAGE RETRIEVAL; MEDICAL APPLICATIONS; NEURAL NETWORKS; QUALITY ASSURANCE; QUALITY FUNCTION DEPLOYMENT; SIGNAL PROCESSING; SUPPORT VECTOR MACHINES; TOTAL QUALITY MANAGEMENT; WAVELET TRANSFORMS; COMPLEX NETWORKS; ELECTRONIC NOSE; GASES;

GASES; SUPPORT VECTOR MACHINES;

EID: 33847040216     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44869-1_101     Document Type: Review

References (5)

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3. Mallat, S.: A wavelet tour of signal processing. Academic Press (1997).
4. Burges, C.J.C.: A tutorial on Support Vector Machines for pattern recognition. Data Mining and Knowledge Discovery. Vol. 2. N. 2 (1998) 121-167
5. Smola, A.J., Scholkopf, B.: A tutorial on Support Vector Regression. http://www.neurocolt.com