References
[1]. H.M. Abbas and M.M. Fahmy, (1994). “Neural
Networks for Maximum Likelihood Clustering”. Signal
Processing, Vol.36, No.1, pp.111-126.
[2]. H. Akaike, (1974). “A New Look at Statistical Model
Identification”. IEEE Trans. Automatic Control, Vol.19,
pp.716-723.
[3]. S. Amari, T.P. Chen, and A. Cichocki, (1997). “Stability
Analysis of Learning Algorithms for Blind Source
Separation”. Neural Networks, Vol.10, No.8, pp.1,345-
1,351.
[4]. A. Antos, L. Devroye, and L. Gyorfi, (1999). “Lower
Bounds for Bayes Error Estimation”. IEEE Trans. Pattern
Analysis and Machine Intelligence, Vol.21, No.7, pp.643-
645.
[6]. C.M. Bishop, (1995). Neural Networks for Pattern
Recognition. Oxford: Clarendon Press.
[7]. C.J.C. Burges, (1998). “A Tutorial on Support Vector
Machines for Pattern Recognition”. Data Mining and
Knowledge Discovery, Vol.2, No.2, pp.121-167.
[8]. B. Cheng and D.M. Titterington, (1994). “Neural
Networks: A Review from Statistical Perspective”. Statistical
Science, Vol.9, No.1, pp.2-54.
[9]. P.A. Chou, (1991). “Optimal Partitioning for
Classification and Regression Trees”. IEEE Trans. Pattern
Analysis and Machine Intelligence, Vol.13, No.4, pp.340-
354.
[10]. T.M. Cover, (1992). “Geometrical and Statistical
Properties of Systems of Linear Inequalities with
Applications in Pattern Recognition”. IEEE Trans. Electronic
Computers, Vol.14, pp.326-334.
[11]. P.A. Devijver and J. Kittler, (1989). Pattern
Recognition: A Statistical Approach. London: Prentice
Hall.
[12]. L. Devroye, (1988). “Automatic Pattern Recognition:
A Study of the Probability of Error”. IEEE Trans. Pattern
Analysis and Machine Intelligence, Vol.10, No.4, pp.530-
543.
[13]. U. Fayyad, G. Piatetsky-Shapiro, and P. Smyth,
(1999). “Knowledge Discovery and Data Mining: Towards
a Unifying Framework”. Proc. Second Int'l Conf.
Knowledge Discovery and Data Mining.
[14]. Anil K Jain, Robert P.W. Duin and Jianchang Mao,
(2000). “Statistical Pattern Recognition: A review”. IEEE
Transaction on Pattern Analysis and Machine Intelligence, Vol.22, No.1, pp.4-37.
[15]. Scott C Newton, Surya Pemmaraju and Sunanda
Mitra, (1992). “Adaptive Fuzzy Leader Clustering of
Complex Data Sets in Pattern recognition”. IEEE
Transactions on Neural Network, Vol.3, No.5, pp.794-800.
[16]. Jenn- Hwai Yang and Miin Shen Yang, (2005). “A
Control Chart Pattern Recognition System Using Statistical
Correlation Coefficient Method”. Computers and
Industrial Engineering, Vol.48, pp.205-221.
[17]. Jun Hai Zhai, (2006). “An Overview of Pattern
th Classification Methodologies”. Proceedings of 5
International Conference on Machine Learning and
Cybernetics, pp.3222-3227.
[18]. Liu, J., Sun, J. And Wang, S. (2006). “Pattern
Recognition: An overview”. International Journal of
Computer Science and Network Security (IJCSNS), Vol.6,
No.6.
[19]. Vapnik, V., (2010). The Nature of Statistical Learning
Theory. Springer.
[20]. Robert Jain, and Mao, (2000). “Statistical pattern
recognition: A Review”. IEEE Transaction on Machine
Learning and Pattern Analysis, Vol.22, No.1.
[21]. Wikipedia. Introduction to pattern recognition.
[22]. Thomas Minka. A Statistical Learning/Pattern
Recognition.
[23]. Zheng, He, (2011). Classification Technique in
Pattern Recognition, University of Technology, Sydney,
ISBN 80-903100-8-7, WSCG.
[24]. Seema Asht, and Rajeshwar Dass, (2012). “Pattern
Recognition Techniques: A Review”. International Journal
of Computer Science and Telecommunications.
[25]. M. Parasher, S. Sharma, A.K Sharma, and J.P Gupta,
(2011). “Anatomy on Pattern Recognition”. Indian Journal
of Computer Science and Engineering (IJCSE), Vol.2,
No.3.
[26]. Amin Fazel and Shantnu Chakrabartty, (1996). “An
Overview of Statistical Pattern Recognition Techniques for
Speaker Verification”. IEEE Circuits and Systems, pp.61-81.
[27]. K.S. Fu, (1982). Syntactic Pattern Recognition and
Applications. Englewood Cliffs, N.J.: Prentice-Hall.
[28]. K. Tumer and J. Ghosh, (1996). "Analysis of Decision
Boundaries in Linearly Combined Neural Classifiers".
Pattern Recognition, Vol.29, pp.341-348.
[29]. R.O.Duda and P.E.Hart, (1973). Pattern Classification and Scene, Analysis, New York: John Wiley & sons.
[30]. Majida Ali Abed, Ahmad Nasser Ismail and ZubadiMatiz Hazi, (June, 2010). “Pattern recognition Using Genetic Algorithm”. International Journal of Computer and Electrical Engineering, Vol.2, No.3.
[31]. Mohammad S. Alam, and Mohammad A. Karim, (2004). “Advances in Pattern Recognition Algorithms, Architectures and Devices”. Optical Engineering, Vol.43, No.8.
[32]. B. Ripley, (1993). Statistical Aspects of Neural Networks, Networks on Chaos: Statistical and Probabilistic Aspects. U. Bornndorff-Nielsen, J.Jensen, and W. Kendal, Eds., Chapman and Hall.
[33]. J. Anderson, A. Pellionisz, and E. Rosenfeld, (1990). Neuro Computing 2: Directions for Research. Cambridge Mass.: MIT Press.
[34]. T. Pavlidis and F. Ali, (1975). "Computer Recognition of Handwritten Numerals by Polygonal Approximations”. IEEE Trans. Syst.,Man,Cybern. Vol. SMC-5.
[35]. Anupam Joshi, Narendram Ramakrishman, Elias N. Houstis and John R. Rice, (1997). "On Neurobiological, Neuro-Fuzzy, Machine Learning And Statistical Pattern Recognition Techniques". IEEE Trans. on Neural Networks, Vol.8, No.1.
[36]. J.C. Bezdek, (1981). Pattern Recognition with Fuzzy Objective Function Algorithm, New York: Plenum Press.
[37]. R. O. Duda, P. E. Hart and D. G. Stork, (2000). Pattern Classification, John Wiley & Sons.
[38]. B. Ripley, (1996). Pattern Recognition and Neural Networks, Cambridge University Press, Cambridge.
[39]. Sergios Theodoridis, and Konstantinos Koutroumbas, (1982). “Pattern recognition”. Pattern Recognition, Elsevier, USA.
[40]. Anil k Jain, and Robert P.W Duin, (2004). Introduction To Pattern Recognition. The Oxford Companion to the Mind, Second Edition, Oxford University Press, Oxford, UK, pp.698- 703.
[41]. S.P. Shinde and V.P. Deshmukh, (2011). “Implementation of Pattern Recognition Techniques and Overview of its Applications in various areas of Artificial Intelligence”. International Journal of Advances in Engineering & Technology, Vol.1, No.4, pp.127-137.