reffec.com

Pattern Recognition in Microsoft Office Generating Data Matrix ECC200 in Microsoft Office Pattern Recognition

Pattern Recognition generate, create datamatrix 2d barcode none on microsoft projects Visual Studio .NET Introduction [30]. [31] [32] [33] [34] [35] [36]. [37] [38]. [39]. [40]. [41] [42]. [43]. [44] [45] [46] [47]. Gillick, L. a Microsoft Office DataMatrix nd S.J.

Cox, "Some Statistical Issues in the Comparison of Speech Recognition Algorithms," IEEE Int. Conf. on Acoustics, Speech and Signal Processing, 1989, Glasgow, Scotland, UK, IEEE pp.

532-535. Goldstine, H., The Computer from Pascal to von Neumann, 2nd ed, 1993, Princeton, NJ, Princeton University Press.

Gray, R.M., "Vector Quantization," IEEE ASSP Magazine, 1984, 1(April), pp.

429. Gray, R.M.

and E.D. Karnin, "Multiple Local Optima in Vector Quantizers," IEEE Trans.

on Information Theory, 1982, IT-28, pp. 256-261. Hartigan, J.

A., Clustering Algorithm, 1975, New York, J. Wiley.

Haykin, S., Neural Networks: A Comprehensive Foundation, 2dn ed, 1999, Upper Saddle River, NJ, Prentice-Hall. Hedelin, P.

, P. Knagenhjelm, and M. Skoglund, "Vector Quantization for Speech Transmission" in Speech Coding and Synthesis, W.

B. Kleijn and K.K.

Paliwal, eds. 1995, Amsterdam, pp. 311-396, Elsevier.

Hinton, G.E., "Connectionist Learning Procedures," Artificial Intelligence, 1989, 40, pp.

185--234. Hon, H.W.

, Vocabulary-Independent Speech Recognition: The VOCIND System, Ph.D Thesis in Department of Computer Science 1992, Carnegie Mellon University, Pittsburgh. Hon, H.

W. and K.F.

Lee, "On Vocabulary-Independent Speech Modeling," IEEE Int. Conf. on Acoustics, Speech and Signal Processing, 1990, Albuquerque, NM pp.

725-728. Hon, H.W.

and K.F. Lee, "Vocabulary-Independent Subword Modeling and Adaptation," IEEE Workshop on Speech Recognition, 1991, Arden House, Harriman, NY.

Huang, X.D., Y.

Ariki, and M.A. Jack, Hidden Markov Models for Speech Recognition, 1990, Edinburgh, U.

K., Edinburgh University Press. Hunt, M.

J., et al., "An Investigation of PLP and IMELDA Acoustic Representations and of Their Potential for Combination" in Proc.

of the IEEE Int. Conf. on Acoustics, Speech and Signal Processing 1991, Toronto, Canada, pp.

881-884. Hwang, M.Y.

and X.D. Huang, "Dynamically Configurable Acoustic Modelings for Speech Recognition," IEEE Int.

Conf. on Acoustics, Speech and Signal Processing, 1998, Seattle, WA. Jain, A.

, J. Mao, and K.M.

Mohiuddin, "Artifical Neural Networks: A Tutorial," Compter, 1996, 29(3), pp. 31-44. Jayant, N.

S. and P. Noll, Digital Coding of Waveforms, 1984, Englewood Cliffs, NJ, Prentice-Hall.

Jiang, L., H.W.

Hon, and X.D. Huang, "(don"t use) Improvements on a Trainable Letter-to-Sound Converter," Eurospeech"97, 1997, Rhodes, Greece.

Juang, B.H., W.

Chou, and C.H. Lee, "Statistical and Discriminative Methods for Speech Recognition" in Automatic Speech and Speaker Recognition - Advanced Topics, C.

H. Lee, F.K.

Soong, and K.K. Paliwal, eds.

1996, Boston, pp. 109-132, Kluwer Academic Publishers..

Historical Perspective and Further Reading [48]. [49] [50] [51] [52]. [53] [54] [55]. [56] [57] [58] [59] [60]. [61] [62] [63]. [64] [65]. Juang, B.H. a Data Matrix barcode for None nd S.

Katagiri, "Discriminative Learning for Minimum Error Classification," IEEE Trans. on Acoustics, Speech and Signal Processing, 1992, SP40(12), pp. 3043-3054.

Kanal, L.N. and B.

Chandrasekaran, "On Dimensionality and Sample Size in Statistical Pattern Classification," Proc. of NEC, 1968, 24, pp. 2-7.

Kanal, L.N. and N.

C. Randall, "Recognition System Design by Statistical Analysis," ACM Proc. of 19th National Conf.

, 1964 pp. D2.5-1-D2.

5-10. Kohonen, T., Learning Vector Quantization for Pattern Recognition, 1986, Helsinki University of Technology, Finland.

Kuhn, R. and R.D.

Mori, "The Application of Semantic Classification Trees to Natural Language Understanding," IEEE Trans. on Pattern Analysis and Machine Intelligence, 1995(7), pp. 449-460.

Lachenbruch, P.A. and M.

R. Mickey, "Estimation Of Error Rates In Discriminant Analysis," Technometrics, 1968, 10, pp. 1-11.

Laplace, P.S., Theorie Analytique des Probabilities, 1812, Paris, Courcier.

Lee, D.S., S.

N. Srihari, and R. Gaborski, "Bayesian and Neural Network Pattern Recognition: A Theoretical Connection and Empirical Results with Handwriting Characters" in Artificial Neural Network and Statistical Pattern Recognition: Old and New Connections, I.

K. Sethi and A.K.

Jain, eds. 1991, Amsterdam, NorthHolland. Linde, Y.

, A. Buzo, and R.M.

Gray, "An Algorithm for Vector Quantizer Design," IEEE Trans. on Communication, 1980, COM-28(1), pp. 84-95.

Lippmann, R.P., "An Introduction to Computing with Neural Nets," IEEE ASSP Magazine, 1987, pp.

4--22. Lippmann, R.P.

, "Review of Neural Nets for Speech Recognition," Neural Computation, 1989, 1, pp. 1-38. Lloyd, S.

P., "Least Squares Quantization in PCM," IEEE Trans. on Information Theory, 1982, IT-2, pp.

129-137. Lucassen, J.M.

and R.L. Mercer, "An Information-Theoretic Approach to the Automatic Determination of Phonemic Baseforms," Proc.

of the IEEE Int. Conf. on Acoustics, Speech and Signal Processing, 1984, San Diego, California pp.

42.5.142.

5.4. Makhoul, J.

, S. Roucos, and H. Gish, "Vector Quantization in Speech Coding," Proc.

of the IEEE, 1985, 73(11), pp. 1551-1588. Martin, J.

K., "An Exact Probability Metric For Decision Tree Splitting And Stopping," Articial Intelligence and Statistics, 1995, 5, pp. 379-385.

McClelland, J., "The Programmable Blackboard Model" in Parallel Distributed Processing - Explorations in the Microstructure of Cognition, Volume II: Psychological and Biological Models 1986, Cambridge, MA, MIT Press. McCulloch, W.

S. and W. Pitts, "A Logical Calculus of Ideas Immanent in Nervous Activity," Bulletin of Mathematical Biophysics, 1943.

McLachlan, G. and T. Krishnan, The EM Algorithm and Extensions, 1996, New York, NY, Wiley Interscience.

.
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