IP-LSSVM: A two-step sparse classifier

Pattern Recognition Letters

Volumn 30, Issue 16, 2009, Pages 1507-1515

  Carvalho, B P R ^a   Braga, A P ^a  

^a Campus da UFMG (Pampulha)   (Brazil)

Author keywords

Least squares support vector machine; Sparse classifier; Support vector automatic detection

Indexed keywords

AUTOMATIC DETECTION; BENCHMARK DATABASE; FEATURE VECTORS; LEARNING PROBLEM; LEAST SQUARES SUPPORT VECTOR MACHINE; LEAST SQUARES SUPPORT VECTOR MACHINES; LEAST-SQUARES APPROACH; MACHINE-LEARNING; SPARSE CLASSIFIER; SPARSE CLASSIFIERS; SUPPORT VECTOR; SUPPORT VECTOR AUTOMATIC DETECTION; SVM CLASSIFIERS; SYSTEM OF LINEAR EQUATIONS; SYSTEMS OF LINEAR EQUATIONS;

CLASSIFIERS; IMAGE RETRIEVAL; INTERNET PROTOCOLS; VECTORS;

SUPPORT VECTOR MACHINES;

EID: 70350217628     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2009.07.022     Document Type: Article

References (13)

1. Blake, C.L., Merz, C.J., 1998. UCI Repository of Machine Learning Databases. University of California, Irvine.
2. Carvalho, B.P.R., Braga, A.P., 2005. New strategies for training least squares support vector machines. In: National Meeting on Artificial Intelligence (ENIA'2005), Sao Leopoldo, Brazil.
3. Carvalho B.P.R., Lacerda W.S., and Braga A.P. RRS + LS-SVM: A New Strategy for a Priori Sample Selection. Neural Computing and Applications (2007), Springer, London
4. Ganapathiraju, A., Picone, J., 2000. Support vector machines for automatic data cleanup. In: Internat. Conf. on Spoken Language Processing (ICSLP'2000), Beijing, China.
5. Gestel T.V., Suykens J.A.K., Baesens B., Viaene S., Vanthienen J., Dedene G., Moor B., and Vandewalle J. Benchmarking least squares support vector machine classifiers. Machine Learning 54 1 (2004) 5-32
6. Gunn, S., 2000. .
7. Lee, Y.J., Mangasarian O.L., 2001. RSVM: Reduced support vector machines. In: First SIAM Internat. Conf. on Data Mining, Chicago, United States.
8. Math Works Inc., 1991. MATLAB for Windows User's Guide.
9. Suykens J.A.K., and Vandewalle J. Least squares support vector machine classifiers. Neural Process. Lett. 9 3 (1999) 293-300
10. Suykens, J.A.K., Lukas, L., Vandewalle, J., 2000. Sparse least squares support vector machine classifiers. In: European Symposium of Artificial Neural Networks (ESANN'2000), Bruges, Belgium.
11. Tax, D.M.J., Duin, R.P.W., 1999. Data domain description using support vectors. In: European Symposium on Artificial Neural Networks (ESANN'1999), Bruges, Belgium.
12. Valyon, J., Horváth, G., 2004. A sparse least squares support vector machine classifier. In: Internat. Joint Conf. on Neural Networks (IJCNN'2004), Hungary, Budapest.
13. Vapnik V.N. The Nature of Statistical Learning Theory (1995), Springer-Verlag