Kernel PCA for HMM-Based Cursive Handwriting Recognition
暂无分享,去创建一个
[1] Horst Bunke,et al. Using a Statistical Language Model to Improve the Performance of an HMM-Based Cursive Handwriting Recognition System , 2001, Int. J. Pattern Recognit. Artif. Intell..
[2] Tetsuya Takiguchi,et al. Robust Feature Extraction using Kernel PCA , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.
[3] Yew-Soon Ong,et al. Advances in Natural Computation, First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part I , 2005, ICNC.
[4] Sargur N. Srihari,et al. On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[5] Yi-Hung Liu,et al. Face Detection Using Kernel PCA and Imbalanced SVM , 2006, ICNC.
[6] Daming Shi,et al. Handwritten Chinese character recognition using kernel active handwriting model , 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).
[7] Marcus Liwicki,et al. Language Model Integration for the Recognition of Handwritten Medieval Documents , 2009, 2009 10th International Conference on Document Analysis and Recognition.
[8] Gunnar Rätsch,et al. An introduction to kernel-based learning algorithms , 2001, IEEE Trans. Neural Networks.
[9] Erkki Oja,et al. Independent component analysis: algorithms and applications , 2000, Neural Networks.
[10] Murat Ekinci,et al. Palmprint Recognition by Applying Wavelet-Based Kernel PCA , 2008, Journal of Computer Science and Technology.
[11] Horst Bunke,et al. The IAM-database: an English sentence database for offline handwriting recognition , 2002, International Journal on Document Analysis and Recognition.
[12] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.
[13] Bernhard Schölkopf,et al. Kernel Principal Component Analysis , 1997, International Conference on Artificial Neural Networks.