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Pattern Synthesis Using Multiple Kernel Learning for Efficient SVM Classification Cover

Pattern Synthesis Using Multiple Kernel Learning for Efficient SVM Classification

Open Access
|Mar 2013

References

  1. 1. Hamamoto, Y., S. Uchimura, S. Tomita. A Bootstrap Technique for Nearest Neighbor Classifier Design. - IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 19, 1997, No 1, 73-79.10.1109/34.566814
  2. 2. Jain, A., B. Chandrasekharan. Dimensionality and Sample Size Considerations in Pattern Recognition Practice. - In: P. Krishnaiah, L. Kanal, Eds. Handbook of Statistics. Vol. 2. North Holland, 1982, 835-855.10.1016/S0169-7161(82)02042-2
  3. 3. Duda, R. O., P. E. Hart, D. G. Stork. Pattern Classification. John Wiley & Sons, Inc., 2005.
  4. 4. Hastie, T., R. Tibshirani, J. Friedman. The Elements of Statistical Learning. Second Edition. Springer Series in Statistics, 2009.10.1007/978-0-387-84858-7
  5. 5. Silverman, B. W. Density Estimation for Statistics and Data Analysis. London, Chapman &Hall, 1986.
  6. 6. Beyer, K. S., J. Goldstein, R. Ramakrishnan, U. Shaft. When is “Nearest Neighbor” Meaningful? -In: Proc. of 7th International Conference on Database Theory, ICDT’99, London, UK, 1999. Springer Verlag, 217-235.10.1007/3-540-49257-7_15
  7. 7. Sathia, K. S., Chih-Jen Lin. Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel. - Neural Computation, Vol. 15, 2003, No 7, 1667-1689.10.1162/08997660332189185512816571
  8. 8. Fillipone, M., F. Camastra, F. Masulli, S. Revatta. A Survey of Kernel and Spectral Methods for Clustering. - Pattern Recognition,Vol. 41, 2008, 176-190.10.1016/j.patcog.2007.05.018
  9. 9. Evangelista, P. F., M. J. Embechts, B. K. Szymanki. Taming the Curse of Dimensionality in Kernels and Novelty Detection, Applied Soft Computing Technologies: The Challenge of Complexity. A. Abraham, B. Baets, M. Koppen, B. Nickolay, Eds. Berlin, Springer Verlag, 2006.
  10. 10. Viswanath, P., M. N. Murty, S. Bhatnagar. Partition Based Pattern Synthesis Technique with Efficient Algorithms for Nearest Neighbor Classification. - Pattern Recognition Letters, Vol. 27, 2006, No 14, 1714-1724.10.1016/j.patrec.2006.04.015
  11. 11. Viswanath, P., M. N. Murty, S. Bhatnagar. Fusion of Multiple Approximate Nearest Neighbor Classifiers for Fast and Efficient Classification. - Information Fusion, Vol. 5, 2004, 239-250.10.1016/j.inffus.2004.02.003
  12. 12. Agrawa l, M., N. Gupta, R. Shreelekshmi, M. N. Murty. Efficient Pattern Synthesis for Nearest Neighbor Classifier. - Pattern Recognition, Vol. 38, 2005, No 11, 2200-2203.10.1016/j.patcog.2005.03.029
  13. 13. Lanckriet, G., N. Cristianini, P. Bartlett, L. El Ghaoui, M. Jordan. Learning the Kernel Matrix with Semi-Definite Programming. - Journal of Machine Learning Research, Vol. 5, 2004.
  14. 14. Sonnenburg, S., G. Rätsch, C. Schäfer, B. Schölkopf. Large Scale Multiple Kernel Learning. - Journal of Machine Learning Research, Vol. 7, 2006.
  15. 15. Jain, A. K., R. C. Dubes, C.-C. Chen. Bootstrap Techniques for Error Estimation. - IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 9, 1987, 628-633.10.1109/TPAMI.1987.4767957
  16. 16. Chernick, M. C., V. K. Murthy, C. D. Nealy. Application of Bootstrap and Other Resampling Techniques: Evaluation of Classifier Performance. - Pattern Recognition Letters, Vol. 3, 1985, 167-178.10.1016/0167-8655(85)90049-2
  17. 17. Weiss, S. M. Small Sample Error Rate Estimation for k-NN Classifiers. - IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 13, 1991, 285-289.10.1109/34.75516
  18. 18. Saradhi, V. V., M. N. Murty. Bootstrapping for Efficient Handwritten Digit Recognition. - Pattern Recognition, Vol. 34, 2001, No 5, 1047-1056.10.1016/S0031-3203(00)00043-1
  19. 19. Murphy, P. M. UCI Repository of Machine Learning Databases. Department of Information and Computer Science. University of California, Irvine, CA, 1994. http://www.ics.uci.edu/mlearn/MLRepository.html
  20. 20. Chang, C.-C., C.-J. Lin. LIBSVM: A Library for Support Vector Machines. 2001. http://www.csie.ntu.edu.tw/~cjlin/libsvm.
  21. 21. Seetha, H., M. N. Murty, R. Saravanan. On Improving the Generalization of SVM Classifier. - In K. R. Venugopal, L. M. Patnaik, Eds., ICIP’2011, CCIS 157, 2011, 11-20.10.1007/978-3-642-22786-8_2
  22. 22. Seetha, H., M. N. Murty, R. Saravanan. A Note on the Effect of Bootstrapping and Clustering on the Generalization Performance. - International Journal of Information Processing, Vol. 5, 2011, No 4,19-34.
DOI: https://doi.org/10.2478/cait-2012-0032 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
Language: English
Page range: 77 - 94
Published on: Mar 22, 2013
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2013 Hari Seetha, R. Saravanan, M. Narasimha Murty, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons License.