Pattern recognition: human and mechanical

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Pattern recognition: human and mechanical

Source

Pages: 570

Year of Publication: 1985

ISBN:0-471-80815-6

Author

Satosi Watanabe

Univ. of Hawaii

Publisher

John Wiley & Sons, Inc. New York, NY, USA

Bibliometrics

Downloads (6 Weeks): n/a, Downloads (12 Months): n/a, Citation Count: 36

Additional Information:

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CITED BY 36

	P Cheeseman, Induction of models under uncertainty, Proceedings of the ACM SIGART international symposium on Methodologies for intelligent systems, p.130-144, October 22-24, 1986, Knoxville, Tennessee, United States
	Ricardo Vilalta , Youssef Drissi, A perspective view and survey of meta-learning, Artificial Intelligence Review, v.18 n.2, p.77-95, October 2002
	Rui-Ping Li , Masao Mukaidono , I. Burhan Turksen, A fuzzy neural network for pattern classification and feature selection, Fuzzy Sets and Systems, v.130 n.1, p.101-108, August 2002
	S. K. M. Wong , Y. Y. Yao, On modeling information retrieval with probabilistic inference, ACM Transactions on Information Systems (TOIS), v.13 n.1, p.38-68, Jan. 1995
	Erhan Gokcay , Jose C. Principe, Information Theoretic Clustering, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.24 n.2, p.158-171, February 2002
	A. K. Jain , M. N. Murty , P. J. Flynn, Data clustering: a review, ACM Computing Surveys (CSUR), v.31 n.3, p.264-323, Sept. 1999
	Robert P. W. Duin , Fabio Roli , Dick de Ridder, A note on core research issues for statistical pattern recognition, Pattern Recognition Letters, v.23 n.4, p.493-499, February 2002
	Y. Y. Tang , C. D. Yan , C. Y. Suen, Document Processing for Automatic Knowledge Acquisition, IEEE Transactions on Knowledge and Data Engineering, v.6 n.1, p.3-21, February 1994
	William H. Hsu, Control of inductive bias in supervised learning using evolutionary computation: a wrapper-based approach, Data mining: opportunities and challenges, Idea Group Publishing, Hershey, PA, 2003
	Manoranjan Dash , Huan Liu, Consistency-based search in feature selection, Artificial Intelligence, v.151 n.1-2, p.155-176, December 2003
	William H. Hsu , Sylvian R. Ray , David C. Wilkins, A Multistrategy Approach to Classifier Learning from Time Series, Machine Learning, v.38 n.1-2, p.213-236, Jan.&slash;Feb. 2000
	Nam Huyn, Data analysis and mining in the life sciences, ACM SIGMOD Record, v.30 n.3, September 2001
	Arthur E. C. Pece, The Problem of Sparse Image Coding, Journal of Mathematical Imaging and Vision, v.17 n.2, p.89-108, September 2002
	Anil K. Jain , Robert P. W. Duin , Jianchang Mao, Statistical Pattern Recognition: A Review, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.22 n.1, p.4-37, January 2000
	Takeshi Kaita , Shingo Tomita , Junkichi Yamanaka, On a higher-order neural network for distortion invariant pattern recognition, Pattern Recognition Letters, v.23 n.8, p.977-984, June 2002
	Piotr Synak , Jan G. Bazan , Andrzej Skowron , James F. Peters, Spatio-Temporal Approximate Reasoning over Complex Objects, Fundamenta Informaticae, v.67 n.1-3, p.249-269, January 2005
	V. P. Mashtalir , V. V. Shlyakhov, Properties of Multialgebraic Systems in Problems of Comparative Recognition, Cybernetics and Systems Analysis, v.39 n.6, p.790-804, November-December 2003
	Raffay Hamid , Siddhartha Maddi , Aaron Bobick , Irfan Essa, Unsupervised analysis of activity sequences using event-motifs, Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks, October 27-27, 2006, Santa Barbara, California, USA
	Robert Jenssen , Deniz Erdogmus , Kenneth E. Hild, II , Jose C. Principe , Torbjørn Eltoft, Information cut for clustering using a gradient descent approach, Pattern Recognition, v.40 n.3, p.796-806, March, 2007
	C. Cifarelli , L. Nieddu , O. Seref , P. M. Pardalos, K-T.R.A.C.E: A kernel k-means procedure for classification, Computers and Operations Research, v.34 n.10, p.3154-3161, October, 2007
	Sepp Hochreiter , Jürgen Schmidhuber, Feature extraction through LOCOCODE, Neural Computation, v.11 n.3, p.679-714, April 1, 1999
	James F. Peters, Near Sets. Special Theory about Nearness of Objects, Fundamenta Informaticae, v.75 n.1-4, p.407-433, January 2007
	Huan Liu , Rudy Setiono, Incremental Feature Selection, Applied Intelligence, v.9 n.3, p.217-230, November-December 1998
	Paul Helman , Rebecca Gore, Prioritizing Information for the Discovery of Phenomena, Journal of Intelligent Information Systems, v.11 n.2, p.99-138, Sept./Oct. 1998
	Ahmed Abbasi , Hsinchun Chen, Writeprints: A stylometric approach to identity-level identification and similarity detection in cyberspace, ACM Transactions on Information Systems (TOIS), v.26 n.2, p.1-29, March 2008
	H. B. Barlow, Review:, Neural Computation, v.1 n.3, p.295-311, Fall 1989
	H. B. Barlow , T. P. Kaushal , G. J. Mitchison, Finding minimum entropy codes, Neural Computation, v.1 n.3, p.412-423, Fall 1989
	Aureli Soria-Frisch , Mario Köppen, Image enhancement through intelligent localized fusion operators in the automated visual inspection of highly reflective surfaces, Information Fusion, v.9 n.2, p.142-155, April, 2008
	David H. Wolpert, The lack of a priori distinctions between learning algorithms, Neural Computation, v.8 n.7, p.1341-1390, October 1, 1996
	E. Baseski , A. Erdem , S. Tari, Dissimilarity between two skeletal trees in a context, Pattern Recognition, v.42 n.3, p.370-385, March, 2009
	C. Cifarelli , G. Patrizi, Solving large protein secondary structure classification problems by a nonlinear complementarity algorithm with {0, 1} variables, Optimization Methods & Software, v.22 n.1, p.25-49, February 2007
	Angélica Lozano , Giuseppe Manfredi , Luciano Nieddu, An algorithm for the recognition of levels of congestion in road traffic problems, Mathematics and Computers in Simulation, v.79 n.6, p.1926-1934, February, 2009
	E. Kokiopoulou , Y. Saad, Enhanced graph-based dimensionality reduction with repulsion Laplaceans, Pattern Recognition, v.42 n.11, p.2392-2402, November, 2009
	Pankaj Mehra , Larry A. Rendell , Benjamin W. Wah, Principled constructive induction, Proceedings of the 11th international joint conference on Artificial intelligence, p.651-656, August 20-25, 1989, Detroit, Michigan
	Larry Rendell , Harish Ragavan, Improving the design of induction methods by analyzing algorithm functionality and data-based concept complexity, Proceedings of the 13th international joint conference on Artifical intelligence, p.952-958, August 28-September 03, 1993, Chambery, France
	Ko Dequan , Richard J. Oentaryo , Michel Pasquier, An adaptive history network method to improve the genetic optimization of pattern recognition systems, Proceedings of the 18th international conference on Fuzzy Systems, p.23-28, August 20-24, 2009, Jeju Island, Korea

INDEX TERMS

Classification:
H. Information Systems
H.1 MODELS AND PRINCIPLES
H.1.2 User/Machine Systems
Subjects: Human information processing

I. Computing Methodologies
I.5 PATTERN RECOGNITION

General Terms:
Human Factors, Theory

REVIEW

"Abraham Kandel : Reviewer"

This is an interesting introduction to pattern recognition, emphasizing primarily the human cognition capabilities ranging from concrete object perception to abstract theory building. The title originally considered for this work was: “For more...

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