Design Compact Recognizers of Handwritten Chinese Characters Using Precision Constrained Gaussian Models, Minimum Classification Error Training and Parameter Compression
暂无分享,去创建一个
[1] Masaki Nakagawa,et al. Collection of on-line handwritten Japanese character pattern databases and their analyses , 2004, Document Analysis and Recognition.
[2] Allen Gersho,et al. Vector quantization and signal compression , 1991, The Kluwer international series in engineering and computer science.
[3] Jonathan Le Roux,et al. Discriminative Training for Large-Vocabulary Speech Recognition Using Minimum Classification Error , 2007, IEEE Transactions on Audio, Speech, and Language Processing.
[4] Scott Axelrod,et al. Modeling with a subspace constraint on inverse covariance matrices , 2002, INTERSPEECH.
[5] Yong Ge,et al. A study on the use of CDHMM for large vocabulary off-line recognition of handwritten Chinese characters , 2002, Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition.
[6] Zhen-Long Bai,et al. A Study of Nonlinear Shape Normalization for Online Handwritten Chinese Character Recognition: Dot Density vs. Line Density Equalization , 2006, 18th International Conference on Pattern Recognition (ICPR'06).
[7] Zhen-Long Bai,et al. A study on the use of 8-directional features for online handwritten Chinese character recognition , 2005, Eighth International Conference on Document Analysis and Recognition (ICDAR'05).
[8] Hiroshi Sako,et al. Discriminative learning quadratic discriminant function for handwriting recognition , 2004, IEEE Transactions on Neural Networks.
[9] Scott E. Fahlman,et al. An empirical study of learning speed in back-propagation networks , 1988 .
[10] Yongqiang Wang,et al. Modeling inverse covariance matrices by expansion of tied basis matrices for online handwritten Chinese character recognition , 2009, Pattern Recognit..
[11] Peder A. Olsen,et al. Modeling inverse covariance matrices by basis expansion , 2004, IEEE Trans. Speech Audio Process..
[12] Ananth Sankar,et al. Mixtures of inverse covariances , 2004, IEEE Trans. Speech Audio Process..
[13] Mark J. F. Gales,et al. Basis superposition precision matrix modelling for large vocabulary continuous speech recognition , 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[14] Robert M. Gray,et al. An Algorithm for Vector Quantizer Design , 1980, IEEE Trans. Commun..
[15] Cheng-Lin Liu,et al. Online Japanese Character Recognition Using Trajectory-Based Normalization and Direction Feature Extraction , 2006 .
[16] Qiang Huo,et al. High performance Chinese OCR based on Gabor features, discriminative feature extraction and model training , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).
[17] Yongqiang Wang,et al. A study of semi-tied covariance modeling for online handwritten Chinese character recognition , 2008, 2008 19th International Conference on Pattern Recognition.
[18] Mark J. F. Gales,et al. Semi-tied covariance matrices for hidden Markov models , 1999, IEEE Trans. Speech Audio Process..
[19] Qiang Huo,et al. A comparative study of several modeling approaches for large vocabulary offline recognition of handwritten Chinese characters , 2002, Object recognition supported by user interaction for service robots.
[20] Scott Axelrod,et al. Subspace constrained Gaussian mixture models for speech recognition , 2005, IEEE Transactions on Speech and Audio Processing.
[21] Fumitaka Kimura,et al. Modified Quadratic Discriminant Functions and the Application to Chinese Character Recognition , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[22] Lianwen Jin,et al. Building compact MQDF classifier for large character set recognition by subspace distribution sharing , 2008, Pattern Recognit..
[23] Biing-Hwang Juang,et al. Minimum classification error rate methods for speech recognition , 1997, IEEE Trans. Speech Audio Process..