Fuzzy-input fuzzy-output one-against-all support vector machines

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

Volumn 4694 LNAI, Issue PART 3, 2007, Pages 156-165

  Thiel, Christian ^a   Scherer, Stefan ^a   Schwenker, Friedhelm ^a  

^a UNIVERSITY OF ULM   (Germany)

Author keywords

Classification; Emotion recognition; Fuzzy input; Fuzzy membership; Fuzzy output; Support vector machine; Uncertainty

Indexed keywords

COMPUTER ARCHITECTURE; FUZZY SYSTEMS; MATHEMATICAL MODELS; SPEECH RECOGNITION;

EMOTION RECOGNITION; FUZZY INPUT; FUZZY MEMBERSHIP; FUZZY OUTPUT;

SUPPORT VECTOR MACHINES;

EID: 38049120940     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74829-8_20     Document Type: Conference Paper

References (16)

1. Vapnik, V.N.: The Nature of Statistical Learning Theory. Springer, Heidelberg (1995)
2. Schölkopf, B., Smola, A.J.: Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond. MIT Press, Cambridge (2002)
3. Angulo, C., Ruiz, F.J., González, L., Ortega, J.A.: Multi-Classification by using Tri-Class SVM. Neural Processing Letters 23, 89-101 (2006)
4. Kahsay, L., Schwenker, F., Palm, G.: Comparison of multiclass SVM decomposition schemes for visual object recognition. In: Kropatsch, W.G., Sablatnig, R., Hanbury, A. (eds.) Pattern Recognition. LNCS, vol. 3663, pp. 334-341. Springer, Heidelberg (2005)
5. Lin, C.F., Wang, S.D.: Fuzzy Support Vector Machines. IEEE Transactions on Neural Networks 13, 464-471 (2002)
6. Huang, H.P., Liu, Y.H.: Fuzzy Support Vector Machines for Pattern Recognition and Data Mining. International Journal of Fuzzy Systems 4, 826-835 (2002)
7. Piatt, J.C.: Probabilistic Outputs for Support Vector Machines and Comparisons to Regularized Likelihood Methods. In: Advances in Large Margin Classifiers, NIPS 1998, pp. 61-74. MIT Press, Cambridge (1999)
8. Borasca, B., Bruzzone, L., Carlin, L., Zusi, M.: A Fuzzy-input Fuzzy-output SVM Technique for Classification of Hyperspectral Remote Sensing Images. In: Proceedings of the NORSIG 2006, Reykjavik (2006)
9. Webb, A.R.: Statistical Pattern Recognition, 2nd edn. John Wiley & Sons, Chichester (2002)
10. Strauss, P.M., Hoffmann, H., Minker, W., Neumann, H., Palm, G., Scherer, S., Schwenker, F., Traue, H., Walter, W., Weidenbacher, U.: Wizard-of-oz data collection for perception and interaction in multi-user environments. In: International Conference on Language Resources and Evaluation (LREC) (2006)
11. Banse, R., Scherer, K.R.: Acoustic profiles in vocal emotion expression. Journal of Personality and Social Psychology 70, 614-636 (1996)
12. Dellaert, F., Polzin, T., Waibel, A.: Recognizing emotion in speech. In: Proceedings of the ICSLP pp. 1970-1973 (1996)
13. Rabiner, L.R., Schafer, R.W.: Digital Processing of Speech Signals. Prentice-Hall Signal Processing Series, Englewood Cliffs (1978)
14. Piatt, J.C: Sequential Minimal Optimization: A Fast Algorithm for Training Support Vector Machines. Technical Report 98-14, Microsoft Research, Redmond, Washington (1998)
15. Dubois, D., Prade, H.: Fuzzy Sets and Systems: Theory and Applications. Academic Press, London (1980)
16. Tegnér, J.: Evaluating Feature Selection for SVMs in High Dimensions. In: Fürnkranz, J., Scheffer, T., Spiliopoulou, M. (eds.) ECML 2006. LNCS (LNAI), vol. 4212, pp. 719-726. Springer, Heidelberg (2006)