14 Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms

14.1 Pattern Recognition Issues

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Pattern Recognition. 9605

14.1.1 Pattern Recognition, General and Survey Articles

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Survey, Pattern Recognition. Survey, Clustering. Pattern Recognition. 9805

Dinneen, G.P.,
Programming Pattern Recognition,
WJCC55(94-100). BibRef 5500

Grimsdale, R.L., Sumner, F.H., Tunis, C.J., Kilburn, T.,
A System for the Automatic Recognition of Patterns,
IEE-P(B: 106), 1958, pp. 210-221. BibRef 5800

Unger, S.H.,
Pattern Detection and Recognition,
PIRE(47), 1959, pp. 1737-1752. BibRef 5900

Unger, S.H.,
A Computer Oriented Towards Spatial Problems,
WJCC58(234). BibRef 5800

Scott, R.M.,
The Present State of the Art with Regard to Detection Recognition,
AppOpt(3), No. 1, January 1964, pp. 13-15. BibRef 6401

Ho, Y.C., Agrawala, A.K.,
On Pattern Classification Algorithms: Introduction and Survey,
PIEEE(56), No. 12, December 1968, pp. 2102-2114. Survey, Pattern Recognition. BibRef 6812

Nagy, G.,
State of the Art in Pattern Recognition,
PIRE(46), No. 5, May 1968, pp. 836-862. BibRef 6805

Nagy, G.[George],
Interactive, Mobile, Distributed Pattern Recognition,
Springer DOI 0509
Visual pattern recognition in the years ahead,
ICPR04(IV: 7-10).

Tou, J.T.,
Engineering Principles of Pattern Recognition,
PlenumNew York, 1969. BibRef 6900

Tou, J.T.,
Feature extraction in pattern recognition,
PR(1), No. 1, July 1968, pp. 3-11.
Elsevier DOI 0309

Noton, D.,
A Theory of Pattern Perception,
SSC(6), No. 4, October 1970, pp. 349-358. BibRef 7010

Ledley, R.S.[Robert S.],
Special issue on conceptual aspects of two-dimensional picture processing,
PR(2), No. 1, January 1970, pp. 1-2.
Elsevier DOI 0309

Kanal, L.N.,
Interactive Pattern Analysis and Classification Systems: A Survey and Commentary,
PIEEE(60), No. 10, October 1972, pp. 1200-1215. Survey, Pattern Recognition. BibRef 7210

Ullmann, J.R.[Julian R.],
Pattern Recognition Techniques,
ButterworthsLondon, 1973. BibRef 7300

Wright, W.E.[William E.],
A formalization of cluster analysis,
PR(5), No. 3, September 1973, pp. 273-282.
Elsevier DOI 0309

Verhagen, C.J.D.M.,
Some general remarks about pattern recognition; its definition; its relation with other disciplines; a literature survey,
PR(7), No. 3, September 1975, pp. 109-116.
Elsevier DOI 0309
Survey, Pattern Recognition. BibRef

Rebollo, M., Escudero, L.F.,
A mixed integer programming approach to multi-spectral image classification,
PR(9), No. 1, January 1977, pp. 47-57.
Elsevier DOI 0309

Rosenfeld, A.,
Image Pattern Recognition,
PIEEE(69), No. 5, May 1981, pp. 596-605. BibRef 8105

Haralick, R.M.,
Pattern Recognition of Remotely Sensed Data,
PDA83(351-367). BibRef 8300

Watanabe, S.[Satosi],
Pattern Recognition as a Quest for Minimum Entropy,
PR(13), No. 5, 1981, pp. 381-387.
Elsevier DOI BibRef 8100

Kittler, J.V., Fu, K.S., Pau, L.F.[Louis François],
Pattern Recognition Theory and Applications,
KluwerJanuary 1982. ISBN 90-277-1379-0
Springer DOI BibRef 8201

Nandhakumar, N., Aggarwal, J.K.,
The Artificial Intelligence Approach to Pattern Recognition: A Perspective and an Overview,
PR(18), No. 6, 1985, pp. 383-389.
Elsevier DOI Pattern Recognition. A short review of the current state of the research with some good references to signal to symbol systems. BibRef 8500

Jain, A.K.,
Advances in Statistical Pattern Recognition,
NATO ASIon Pattern Recognition Theory and Application, June 1986, Spa-Balmoral, Belgium, BibRef 8606 Springer-Verlag BibRef Book Pattern Recognition. BibRef

Chen, C.H.,
Statistical Pattern Recognition: Early Development and Recent Progress,
PRAI(1), 1987, pp. 43-51. BibRef 8700

Thomason, M.G., and Granum, E.,
Dynamic Programming Inference of Markov Networks from Finite Sets of Sample Strings,
PAMI(8), No. 4, July 1986, pp. 491-501. BibRef 8607

Thomason, M.G., Granum, E.,
Sequential Inference of Markov Networks by Dynamic Programming for Structural Pattern Recognition,
PRL(5), 1987, pp. 31-39. BibRef 8700

McFee, J.E., and Das, Y.,
A Classifier for Feature Vectors Whose Prototypes Are a Function of Multiple Continuous Parameters,
PAMI(10), No. 4, July 1988, pp. 599-606.
IEEE DOI BibRef 8807

Carlotto, M.J.,
Toward The Unsupervised Interpretation Of Outdoor Imagery,
JVCIR(1), 1990, pp. 158-175. BibRef 9000

Liu, D., Yamashita, Y., Ogawa, H.,
Pattern-Recognition in the Presence of Noise,
PR(28), No. 7, July 1995, pp. 989-995.
Elsevier DOI BibRef 9507

Zamperoni, P.,
Plus Ca Va, Moins Ca Va,
PRL(17), No. 7, June 10 1996, pp. 671-677. 9607

Ryall, T.G., Sandor, J.,
Statistical Pattern Matching,
PRL(9), 1989, pp. 163-168. BibRef 8900

Jain, A.K., Mao, J.C.,
Special Issue on Artificial Neural Networks and Statistical Pattern-Recognition,
TNN(8), No. 1, January 1997, pp. 1-4. 9701

Johansen, P.,
Adaptive Pattern Recognition,
JMIV(7), No. 4, October 1997, pp. 325-339.
DOI Link 9710

Chatterjee, C., Roychowdhury, V.P.,
An Adaptive Stochastic-Approximation Algorithm for Simultaneous Diagonalization of Matrix Sequences with Applications,
PAMI(19), No. 3, March 1997, pp. 282-287.

Li, S.Z.,
Parameter-Estimation for Optimal Object Recognition: Theory and Application,
IJCV(21), No. 3, February 1997, pp. 207-222.
DOI Link 9704

Fazlollahi, A.H., Javidi, B.,
Optimum Receivers for Pattern Recognition Problems with Nonoverlapping Target and Background Noise,
OptEng(36), No. 10, October 1997, pp. 2633-2641. 9710

Shamir, J.,
Adaptive Pattern Recognition Correlators,
OptEng(36), No. 10, October 1997, pp. 2675-2689. 9710

Karim, M.A., Alam, M.S.,
Advances in Recognition Techniques, Part 1,
OptEng(37), No. 1, January 1998, pp. 7-9. 9802

Alam, M.S., Karim, M.A.,
Advances In Recognition Techniques, Part 2,
OptEng(37), No. 3, March 1998, pp. 732-734. 9804

Gelsema, E.S., Kanal, L.N.,
Pattern Recognition in Practice V,
PRL(18), No. 11-13, November 1997, pp. 1073-1075. 9806

Gelsema, E.S.[Edzard S.], Veenland, J.F.[Jifke F.],
Pattern Recognition in Practice VI,
PRL(20), No. 11-13, November 1999, pp. 1073-1078. 0001
Papers form the conference formed the special issue. BibRef

Duin, R.P.W., de Ridder, D., Tax, D.M.J.,
Experiments with a Featureless Approach to Pattern Recognition,
PRL(18), No. 11-13, November 1997, pp. 1159-1166. 9806

Gascuel, O., Bouchon-Meunier, B., Caraux, G., Gallinari, P., Guenoche, A., Guermeur, Y., Lechevallier, Y., Marsala, C., Miclet, L., Nicolas, J., Nock, R., Ramdani, M., Sebag, M., Tallur, B., Venturini, G., Vitte, P.,
Twelve Numerical Symbolic and Hybrid Supervised Classification Methods,
PRAI(12), No. 5, August 1998, pp. 517-571. 9809

Kulkarni, S.R., Lugosi, G., Venkatesh, S.S.,
Learning-Pattern Classification: A Survey,
IT(44), No. 6, October 1998, pp. 2178-2206. 9810
Survey, Pattern Recognition. BibRef

Jain, A.K., Duin, R.P.W., Mao, J.,
Statistical Pattern Recognition: A Review,
PAMI(22), No. 1, January 2000, pp. 4-37.
Part of the 20 year special issue. Review of Statistical Pattern Recognition approaches, what they are, what they do, defines terms, explains what is going on. BibRef

Fred, A.L.N.[Ana L.N.], Jain, A.K.[Anil K.],
Pattern recognition in information systems,
PR(35), No. 12, December 2002, pp. 2671-2672.
Elsevier DOI 0209
Special issue intro. BibRef

Pavlidis, T.[Theo],
36 years on the pattern recognition front,
PRL(24), No. 1-3, January 2003, pp. 1-7.
Elsevier DOI Lecture given at ICPR'2000 in Barcelona, Spain on the occasion of receiving the K.S. Fu prize. 0211

Mukherjee, D.P.[Dipti Prasad], Pal, S.[Srimanta],
Advances in Pattern Recognition,
PRL(26), No. 4, March 2005, pp. 395-398.
Elsevier DOI 0501

Liew, A.W.C.[Alan Wee-Chung], Yan, H.[Hong], Yang, M.[Mengsu],
Pattern Recognition techniques for the emerging field of bioinformatics: A review,
PR(38), No. 11, November 2005, pp. 2055-2073.
Elsevier DOI 0509

Tortorella, F.[Francesco],
Special issue on 'ROC Analysis in Pattern Recognition',
PRL(27), No. 8, June 2006, pp. 859-860.
Elsevier DOI 0605

Xue, J.H.[Jing-Hao], Titterington, D.M.[D. Michael],
Do unbalanced data have a negative effect on LDA,
PR(41), No. 5, May 2008, pp. 1575-1588.
Elsevier DOI 0711
Area under an ROC curve (AUC), Linear discriminant analysis (LDA), Misclassification error rate (ER), Unbalanced data BibRef

Xue, J.H.[Jing-Hao], Titterington, D.M.[D. Michael],
Joint discriminative-generative modelling based on statistical tests for classification,
PRL(31), No. 9, 1 July 2010, pp. 1048-1055.
Elsevier DOI 1004
Classification, Data-generating process, Joint discriminative-generative modelling, Linear discriminant analysis; Linear logistic regression, Normality tests BibRef

Xue, J.H.[Jing-Hao], Hall, P.,
Why Does Rebalancing Class-Unbalanced Data Improve AUC for Linear Discriminant Analysis?,
PAMI(37), No. 5, May 2015, pp. 1109-1112.
Area under an ROC curve (AUC). Covariance matrices BibRef

Landgrebe, T.C.W.[Thomas C.W.], Duin, R.P.W.[Robert P. W.],
Efficient Multiclass ROC Approximation by Decomposition via Confusion Matrix Perturbation Analysis,
PAMI(30), No. 5, May 2008, pp. 810-822.
Combining Accuracy and Prior Sensitivity for Classifier Design Under Prior Uncertainty,
Springer DOI 0608

Landgrebe, T.C.W.[Thomas C.W.], Paclik, P.[Pavel], Duin, R.P.W.[Robert P.W.],
Precision-recall operating characteristic (P-ROC) curves in imprecise environments,
ICPR06(IV: 123-127).

See also ROC skeleton for multiclass ROC estimation, The. BibRef

Tax, D.M.J.[David M.J.], Duin, R.P.W.[Robert P.W.],
Growing a multi-class classifier with a reject option,
PRL(29), No. 10, 15 July 2008, pp. 1565-1570.
Elsevier DOI 0711
Linear model combining by optimizing the Area under the ROC curve,
ICPR06(IV: 119-122).
Multi-class classification, Outlier detection, Rejection BibRef

Tax, D.M.J.[David M. J.], Duin, R.P.W.[Robert P. W.],
Learning Curves for the Analysis of Multiple Instance Classifiers,
Springer DOI 0812

Beisner, H.M.[Henry M.],
Celebrating 40 years of Pattern Recognition: Reflections,
PR(41), No. 7, July 2008, pp. 2139-2144.
Elsevier DOI 0804

Clarke, A.[Alastair],
The Pattern Recognition Theory of Humour,
Pyrrhic House2008. ISBN: 978-0-9559365-0-0 BibRef 0800

Bunke, H.[Horst], Kandel, A.[Abraham], Last, M.[Mark], (Eds.)
Applied Pattern Recognition,
Springer2008, ISBN: 978-3-540-76830-2
WWW Link. Survey, Pattern Recognition. Buy this book: Applied Pattern Recognition (Studies in Computational Intelligence) BibRef 0800

Kurzynski, M.[Marek], Wozniak, M.[Michal], (Eds.)
Computer Recognition Systems 3,
Springer2009, ISBN: 978-3-540-93904-7
WWW Link. Buy this book: Computer Recognition Systems 3 (Advances in Intelligent and Soft Computing) 0906

Pelillo, M.[Marcello], Scantamburlo, T.[Teresa], Schiaffonati, V.[Viola],
Pattern recognition between science and engineering: A red herring?,
PRL(64), No. 1, 2015, pp. 3-10.
Elsevier DOI 1509
Pattern recognition BibRef

Brown, G.[Gavin],
On unifiers, diversifiers, and the nature of pattern recognition,
PRL(64), No. 1, 2015, pp. 11-20.
Elsevier DOI 1509
Nature of pattern recognition BibRef

Michael, L.[Loizos],
The disembodied predictor stance,
PRL(64), No. 1, 2015, pp. 21-29.
Elsevier DOI 1509
Introspective forecasting BibRef

Tunç, B.[Birkan],
Semantics of object representation in machine learning,
PRL(64), No. 1, 2015, pp. 30-36.
Elsevier DOI 1509
Philosophy of machine learning BibRef

Duin, R.P.W.[Robert P.W.],
The dissimilarity representation for finding universals from particulars by an anti-essentialist approach,
PRL(64), No. 1, 2015, pp. 37-43.
Elsevier DOI 1509
Representation BibRef

Ahmed, N.,
Recent review on image clustering,
IET-IPR(9), No. 11, 2015, pp. 1020-1032.
DOI Link 1511
image processing BibRef

Wazarkar, S.[Seema], Keshavamurthy, B.N.[Bettahally N.],
A survey on image data analysis through clustering techniques for real world applications,
JVCIR(55), 2018, pp. 596-626.
Elsevier DOI 1809
Image clustering, Feature extraction, Real world applications BibRef

Nazarovs, J.[Jurijs], Huang, Z.C.[Zhi-Chun], Tasneeyapant, S.[Songwong], Chakraborty, R.[Rudrasis], Singh, V.[Vikas],
Understanding Uncertainty Maps in Vision with Statistical Testing,
Deep learning, Production systems, Uncertainty, Statistical analysis, Computational modeling, Neural networks, Scene analysis and understanding BibRef

Pal, S.K.[Sankar K.],
Soft Computing, f-Granulation and Pattern Recognition,
Springer DOI 1011

Gao, S.[Sheng], Lee, C.H.[Chin-Hui], Lim, J.H.[Joo Hwee],
An ensemble classifier learning approach to ROC optimization,
ICPR06(II: 679-682).

Jain, A.K., Topchy, A.P., Law, M.H.C., Buhmann, J.M.,
Landscape of clustering algorithms,
ICPR04(I: 260-263).

Miletzki, U.,
'Schurmann-polynomials: Roots and offsprings' their impact on today's pattern recognition,
IEEE Top Reference. 0209

Serra, J.[Jean],
Is Pattern Recognition a Physical Science?,
ICPR00(Vol III: 29-36).
Examples from the physical world. BibRef

Nehme, C.C.[Claudio Chauke],
Gamma-Art Architecture: a New Model for Temporal Pattern Recognition,
HTML Version. 9705

West, G.A.W.,
Assessing Feature Importance for Verification and Pose Refinement,
ICPR96(I: 30-34).
(Curtin Univ. of Computer Science, AUS) BibRef

Rudshtein, A., Lindenbaum, M.,
Quantifying the Reliability of Feature-Based Object Recognition,
ICPR96(I: 35-39).
(Technion, IL) BibRef

Mills, S., Karins, J., and Dydyk, R.,
Pattern Recognition Prototyping Tool,
ICIP97(III: 312-315).
IEEE DOI BibRef 9700

Kanatani, K.,
Renormalization for unbiased estimation,
Iteratively remove the statistical bias of least-squares. Apply to vanishing point and foe. BibRef

Taxt, T.[Torfinn],
Invited Talk: Pattern Recognition: Present and Future,
CVPR94(no printed paper). BibRef 9400

Carlotto, M.J.,
Pattern Classification Using Relative Constraints,
IEEE DOI BibRef 8800

Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Pattern Recognition Systems .

Last update:May 23, 2024 at 14:31:23