14.2 Pattern Recognition and Clustering Techniques

14.2.1 Pattern Recognition, General Issues

Chow, C.K.,
Statistical Independence and Threshold Functions,
TC(14), 1965, pp. 66-68. BibRef 6500

Chow, C., and Liu, C.,
Approximating discrete probability distributions with dependence trees,
IT(14), No. 11, November 1968, pp. 462-467. BibRef 6811

Ho, Y.C., and Kashyap, R.L.,
An Algorithm for Linear Inequalities and its Applications,
TC(14), 1965, pp. 683-688. Decides whether a data set is linearly discriminable and also finds the best discrimination. BibRef 6500

Nadler, M.,
'Empyrean', an alternative paradigm for pattern recognition,
PR(1), No. 2, November 1968, pp. 147-163.
WWW Version. 0309 BibRef

Haralick, R.M.,
The Pattern Discrimination Problem from the Perspective of Relation Theory,
PR(7), No. 1-2, June 1975, pp. 67-79.
WWW Version. 0309 BibRef

Simon, J.C.,
Recent progress to formal approach of pattern recognition and scene analysis,
PR(7), No. 3, September 1975, pp. 117-124.
WWW Version. 0309 BibRef

Boullion, T.L., Odell, P.L., Duran, B.S.,
Estimating the probability of misclassification and variate selection,
PR(7), No. 3, September 1975, pp. 139-145.
WWW Version. 0309 BibRef

Thiry, S.[Suzanne], Pavel, M.[Monique], Bouckaert, A.[André],
Weighted logical inference for pattern recognition,
PR(12), No. 2, 1980, pp. 63-67.
WWW Version. 0309 BibRef

Thiry, S.[Suzanne], Pavel, M.[Monique],
A statistical approach for discrete pattern recognition: A case study in endocrine physiopathology,
PR(18), No. 5, 1985, pp. 349-355.
WWW Version. 0309 BibRef

Oja, E.[Erkki], Kuusela, M.[Maija],
The ALSM algorithm: An improved subspace method of classification,
PR(16), No. 4, 1983, pp. 421-427.
WWW Version. 0309 BibRef

Laaksonen, J.T.[Jorma T.], and Oja, E.[Erkki],
Density Function Interpretation of Subspace Cassification Methods,
SCIA97(xx-yy) 9705
HTML Version. BibRef

Goldfarb, L.[Lev],
A unified approach to pattern recognition,
PR(17), No. 5, 1984, pp. 575-582.
WWW Version. 0309Within the proposed framework the two principal approaches to pattern recognition (vector and syntactic) are unified. BibRef

Goldfarb, L.[Lev],
On the foundations of intelligent processes--I. An evolving model for pattern learning,
PR(23), No. 6, 1990, pp. 595-616.
WWW Version. 0401 BibRef

Wong, S.K.M., Poon, F.C.S.,
Comments on approximating discrete probability distributions with dependence trees,
PAMI(11), No. 3, March 1989, pp. 333-335.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0401 See also Approximating discrete probability distributions with dependence trees. BibRef

Avi-Itzhak, H.I., van Mieghem, J.A., Rub, L.,
Multiple Subclass Pattern-Recognition: A Maximum Correlation Approach,
PAMI(17), No. 4, April 1995, pp. 418-431.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9504

Reeves, S.J.,
Generalized Cross-Validation as a Stopping Rule for the Richardson-Lucy Algorithm,
IJIST(6), No. 4, Winter 1995, pp. 387-391. BibRef 9500

Kreutz, M., Volpel, B., Janssen, H.,
Scale-Invariant Image Recognition Based on Higher-Order Autocorrelation Features,
PR(29), No. 1, January 1996, pp. 19-26.
WWW Version. BibRef 9601

Mathieu-Marni, S., Leymarie, P., Berthod, M.,
Removing Ambiguities in a Multispectral Image Classification,
JRS(17), No. 8, May 20 1996, pp. 1493-1504. 9605 BibRef

Yu, F.T.S., Gregory, D.A.,
Optical-Pattern Recognition: Architectures and Techniques,
PIEEE(84), No. 5, May 1996, pp. 733-752. 9605 BibRef

Prakash, M., Murty, M.N.,
Extended Subspace Methods of Pattern-Recognition,
PRL(17), No. 11, September 16 1996, pp. 1131-1139. 9611 BibRef

Prakash, M., Murty, M.N.[M. Narasimha],
Hebbian learning subspace method: A new approach,
PR(30), No. 1, January 1997, pp. 141-149.
WWW Version. 0401 BibRef

Prakash, M., Murty, M.N.,
Growing Subspace Pattern-Recognition Methods and Their Neural-Network Models,
TNN(8), No. 1, January 1997, pp. 161-168. 9701 BibRef

Ranka, S., Heywood, T.,
Two-Dimensional Pattern Matching with K Mismatches,
PR(24), No. 1, 1991, pp. 31-40.
WWW Version. BibRef 9100

Karl, W.C., Kulkarni, S.R., Verghese, G.C., Willsky, A.S.,
Local Tests for Consistency of Support Hyperplane Data,
JMIV(6), No. 2-3, June 1996, pp. 249-267. 9608 BibRef

Ahmed, P., Goyal, P., Narayanan, T.S., Suen, C.Y.,
Linear Time Algorithms for an Image Labelling Machine,
PRL(7), 1988, pp. 273-378. BibRef 8800

Stoyan, D., Molchanov, I.S.,
Set-Valued Means of Random Particles,
JMIV(7), No. 2, March 1997, pp. 111-121.
WWW Version. 9705 BibRef

Andres, E., Acharya, R., Sibata, C.,
Discrete Analytical Hyperplanes,
GMIP(59), No. 5, September 1997, pp. 302-309. 9712 BibRef

Talukder, A., Casasent, D.,
General Methodology for Simultaneous Representation and Discrimination of Multiple Object Classes,
OptEng(37), No. 3, March 1998, pp. 904-913. 9804 BibRef

Singh, S.,
2D Spiral Pattern Recognition with Possibilistic Measures,
PRL(19), No. 2, February 1998, pp. 141-147. 9808 BibRef

Sengupta, K.[Kuntal], Boyer, K.L.[Kim L.],
Modelbase Partitioning Using Property Matrix Spectra,
CVIU(70), No. 2, May 1998, pp. 177-196.
WWW Version. BibRef 9805
Earlier:
Using Spectral Features for Modelbase Partitioning,
ICPR96(II: 65-69).
WWW Version. 9608(Ohio State Univ., USA) BibRef

Chavent, M.[Marie],
A Monothetic Clustering Method,
PRL(19), No. 11, September 1998, pp. 989-996. 9811 BibRef

Cucka, P.[Peter], Netanyahu, N.S.[Nathan S.], Rosenfeld, A.[Azriel],
'Robotic' estimation: the inefficiency of random-walk sampling,
PR(31), No. 12, December 1998, pp. 2091-2102.
WWW Version. BibRef 9812

Dybowski, R.[Richard],
Classification of incomplete feature vectors by radial basis function networks,
PRL(19), No. 14, December 1998, pp. 1257-1264. BibRef 9812
And: Erratum: PRL(20), No. 5, May 1999, pp. 549. BibRef

Buczkowski, S., Kyriacos, S., Nekka, F., Cartilier, L.,
The Modified Box-Counting Method: Analysis of Some Characteristic Parameters,
PR(31), No. 4, April 1998, pp. 411-418.
WWW Version. 9803 BibRef

Maharaj, E.A.[Elizabeth Ann],
Comparison and classification of stationary multivariate time series,
PR(32), No. 7, July 1999, pp. 1129-1138.
WWW Version. BibRef 9907

Singh, S.[Sameer],
Noise impact on time-series forecasting using an intelligent pattern matching technique,
PR(32), No. 8, August 1999, pp. 1389-1398.
WWW Version. BibRef 9908

Singh, S.[Sameer],
Multiple forecasting using local approximation,
PR(34), No. 2, February 2001, pp. 443-455.
WWW Version. 0011 BibRef

Singh, S.[Sameer], Stuart, E.[Elizabeth],
A Pattern Matching Tool for Time-Series Forecasting,
ICPR98(Vol I: 103-105).
WWW Version. 9808 BibRef

Hess, C.[Christian],
Conditional expectation and martingales of random sets,
PR(32), No. 9, September 1999, pp. 1543-1567.
WWW Version. BibRef 9909

Sidiropoulos, N.D.,
On the tractability of estimating the germ process of certain germ-grain random set models and related problems,
PR(32), No. 9, September 1999, pp. 1667-1674.
WWW Version. BibRef 9909

Last, G., Holtmann, M.,
On the empty space function of some germ-grain models,
PR(32), No. 9, September 1999, pp. 1587-1600.
WWW Version. BibRef 9909

Balachander, T.[Thiagarajan], Kothari, R.[Ravi],
Introducing Locality and Softness in Subspace Classification,
PAA(2), No. 1, 1999, pp. 53-58. BibRef 9900

Comaniciu, D.[Dorin], Meer, P.[Peter],
Distribution Free Decomposition of Multivariate Data,
PAA(2), No. 1, 1999, pp. 22-30. BibRef 9900

Mitra, S.K.[Suman K.], Murthy, C.A.,
Mathematical framework to show the existence of attractor of partitioned iterative function systems,
PR(33), No. 5, May 2000, pp. 859-869.
WWW Version. 0003 BibRef

Ruiz Vargas, J.A., Hemerly, E.M.,
Adaptive observers for unknown general nonlinear systems,
SMC-B(31), No. 5, October 2001, pp. 683-690.
IEEE Top Reference. 0111 BibRef

Hastie, T., Tibshirani, R., Friedman, J.,
The Elements of Statistical Learning: Data Mining, Inference and Prediction,
Springer-Verlag2001. BibRef 0100

Duin, R.P.W.[Robert P.W.], Roli, F.[Fabio], de Ridder, D.[Dick],
A note on core research issues for statistical pattern recognition,
PRL(23), No. 4, February 2002, pp. 493-499.
HTML Version. 0202 BibRef

Szczecinski, L.L.[Leszek L.], Gei, A.[Ado],
Blind decision feedback equalisers, how to avoid degenerative solutions,
SP(82), No. 11, November 2002, pp. 1675-1693.
HTML Version. 0210 BibRef

Serpico, S.B., Moser, G.,
Weight Parameter Optimization by the Ho-Kashyap Algorithm in MRF Models for Supervised Image Classification,
GeoRS(44), No. 12, December 2006, pp. 3695-3705.
WWW Version. 0701 See also Algorithm for Linear Inequalities and its Applications, An. BibRef

Haralick, R.M., Miasnikov, A.[Alex], and Myasnikov, A.D.[Alexei D.],
Pattern Recognition Approaches To Solving Combinatorial Problems in Free Groups,
Contemporary Mathematics(349), 2004, pp. 197-213. BibRef 0400

Haralick, R.M., Miasnikov, A.[Alex], and Myasnikov, A.D.[Alexei D.],
Heuristics for Whitehead Minimization Problem,
Experimental Mathematics(14), No. 1, 2005, pp. 7-14. BibRef 0500

Haralick, R.M., Myasnikov, A.D.[Alexei D.],
A Hybrid Algorithm For Solving the Whitehead Minimization Problem,
Symbolic Computation(41), No. 7, July 2006, pp. 818-834. BibRef 0607

Chen, C.H.[Chi Hau], Ho, P.G.P.[Pei-Gee Peter],
Statistical pattern recognition in remote sensing,
PR(41), No. 9, September 2008, pp. 2731-2741.
WWW Version. 0806Remote sensing; Statistical pattern classification; Contextual information; Neural networks; Support vector machine; Vector 2-D autoregressive time series; Markov random field BibRef

Hammer, R.[Rubi], Hertz, T.[Tomer], Hochstein, S.[Shaul], Weinshall, D.[Daphna],
Classification with Positive and Negative Equivalence Constraints: Theory, Computation and Human Experiments,
BVAI07(264-276).
WWW Version. 0710 BibRef

Hocquet, S.[Sylvain], Ramel, J.Y.[Jean-Yves], Carbot, H.[Hubert],
Estimation of User Specific Parameters in One-class Problems,
ICPR06(IV: 449-452).
WWW Version. 0609 BibRef

Agarwal, S.[Sameer], Lim, J.W.[Jong-Woo], Zelnik-Manor, L.[Lihi], Perona, P.[Pietro], Kriegman, D.J.[David J.], Belongie, S.[Serge],
Beyond Pairwise Clustering,
CVPR05(II: 838-845).
WWW Version. 0507Relations are not pairwise, but 3, 4 or more. Instance of hypergraph partitioning problem. BibRef

Altmueller, S., Haralick, R.M.,
Approximating high dimensional probability distributions,
ICPR04(II: 299-302).
WWW Version. 0409Compare to See also Approximating discrete probability distributions with dependence trees. BibRef

Sanders, B.C.S., Nelson, R.C., Sukthankar, R.[Rahul],
A theory of the quasi-static world,
ICPR02(III: 1-6).
WWW Version. 0211 BibRef

Mottl, V., Dvoenko, S., Kopylov, A.,
Pattern Recognition in Interrelated Data: The Problem, Fundamental Assumptions, Recognition Algorithms,
ICPR04(I: 188-191).
WWW Version. 0409 BibRef

Mottl, V., Seredin, O., Dvoenko, S., Kulikowski, C., Muchnik, I.,
Featureless pattern recognition in an imaginary Hilbert space,
ICPR02(II: 88-91).
WWW Version. 0211 BibRef

Singh, S., Galton, A.,
Pattern recognition using information slicing method (PRISM),
ICPR02(II: 144-147).
WWW Version. 0211 BibRef

Davis, R.I.A., Lovell, B.C., Caelli, T.M.,
Improved estimation of hidden Markov model parameters from multiple observation sequences,
ICPR02(II: 168-171).
WWW Version. 0211 BibRef

Saalbach, A., Heidemann, G., Ritter, H.,
Representing object manifolds by parametrized SOMs,
ICPR02(II: 184-187).
WWW Version. 0211 BibRef

Ohta, Y.,
Pattern recognition and understanding for visual information media,
ICPR02(I: 536-545).
WWW Version. 0211 BibRef

Balthasar, D., Priese, L.,
Fast projection plane classifier,
ICPR02(II: 200-203).
WWW Version. 0211 BibRef

Ryazanov, V.V., Vorontchikhin, V.A.,
Discrete approach for automatic knowledge extraction from precedent large-scale data, and classification,
ICPR02(II: 188-191).
WWW Version. 0211 BibRef

Ercil, A., Buke, B.,
One class classification using implicit polynomial surface fitting,
ICPR02(II: 152-155).
WWW Version. 0211 BibRef

Veeramachaneni, S., Fujisawa, H., Liu, C.L.[Cheng-Lin], Nagy, G.,
Classifying isogenous fields,
FHR02(41-46).
IEEE Top Reference. 0209 BibRef

Bax, E.,
Using Validation by Inference to Select a Hypothesis Function,
ICPR00(Vol II: 700-703).
WWW Version.
HTML Version. 0009 BibRef

Amengual, J.C., Vidal, E.,
On the Estimation of Error-correcting Parameters,
ICPR00(Vol II: 883-886).
WWW Version.
WWW Version.
HTML Version. 0009 BibRef

Baram, Y.,
Random Embedding Machines for Low-complexity Pattern Recognition,
ICPR00(Vol II: 748-754).
WWW Version.
HTML Version. 0009 BibRef

Law, M.H., Kwok, J.T.,
Rival Penalized Competitive Learning for Model-based Sequence Clustering,
ICPR00(Vol II: 195-198).
WWW Version.
HTML Version. 0009 BibRef

Yamashita, Y.[Yukihiko], Ikeno, Y.[Yasuyuki], Ogawa, H.,
Relative Karhunen-Loeve Transform Method for Pattern Recognition,
ICPR98(Vol II: 1031-1033).
WWW Version. 9808 BibRef

Yamashita, Y., Ogawa, H.,
Relative Karhunen-Loeve operator,
ICPR94(C:168-170).
WWW Version. 9410 BibRef

Ogawa, H.,
Karhunen-Loeve Subspace,
ICPR92(II:75-78).
WWW Version. 9208 BibRef

Matas, J.[Jiri], Pandit, M., Kittler, J.V.[Josef V.],
Selection of Speaker Independent Feature for a Speaker Verification System,
ICPR98(Vol II: 1034-1036).
WWW Version. 9808 BibRef

Riazanov, V.V.[Vladimir V.], Sen'ko, O.V., Zhuralvlev, Y.I.[Yu I.],
Mathematical Methods for Pattern Recognition: Logic, Optimization, Algebraic Approaches,
ICPR98(Vol I: 831-834).
WWW Version. 9808 BibRef

Olivier, C., Jouzel, F., Avila, M.,
Markov Model Order Optimization for Text Recognition,
ICDAR97(Poste) 9708 BibRef

Aufmuth, C.,
Revealing the Hidden Markov Recognizer,
ICDAR97(Poste) 9708 BibRef

Gennert, M.A., Yuille, A.L.,
Determining the Optimal Weights in Multiple Objective Function Optimization,
ICCV88(87-89).
IEEE Abstract. IEEE Top Reference. BibRef 8800

Lemaire, J., Barrouil, C.,
Use of a priori descriptions in a high-level language and management of the uncertainty in a scene recognition system,
ICPR96(I: 560-564).
WWW Version. 9608(Centre d`Etudes et de Recherches, F) BibRef

Lemaire, J., Le Moigne, O.,
Development of a scene recognition system with imprecise descriptions,
ICIP96(II: 979-982).
WWW Version. 9610 BibRef

Kimura, F., Miyake, Y., Wakabayashi, T.,
On Feature Extraction for Limited Class Problem,
ICPR96(II: 191-194).
WWW Version. 9608(Mie Univ., J) BibRef

Fainzilberg, L.S.,
Why Relevant Features May Be Unuseful in Statistical Recognition of Two Classes,
ICPR96(II: 730-734).
WWW Version. 9608 BibRef
Earlier:
Interconnection between features properties and probability of error in statistical recognition of two classes,
ICPR94(B:544-546).
WWW Version. 9410(V. M. Glushkov Institute of Cybernetics, UKR) BibRef

Dzemyda, G.,
Visual Analysis of a Set of Function Values,
ICPR96(II: 700-704).
WWW Version. 9608(Institute of Mathematics and Informatics, LIT) BibRef

Uhl, C., Friedrich, R.,
Spatiotemporal Signal Analysis: Recognition of Interacting Modes,
ICPR96(II: 55-59).
WWW Version. 9608(Max-Planck-Institute, D) BibRef

Arumugavelu, S., Ranganathan, N.,
SIMD Algorithms for Single Link and Complete Link Pattern Clustering,
ICPR96(IV: 625-629).
WWW Version. 9608(Univ. of Florida, USA) BibRef

Blyumin, S.L.,
Multiplicative bases approach in mathematical cybernetics,
ICPR94(B:550-552).
WWW Version. 9410 BibRef

Chen, Y.S.[Yung-Sheng], Shao, W.S.[Wei-Shin],
Useful information plane on pattern classification,
ICPR94(B:605-607).
WWW Version. 9410 BibRef

Howard, C.G.[Cheryl G.], Bock, P.[Peter],
Multi-class classification and symbolic cognitive processing with ALISA,
CAIP93(343-354).
WWW Version. 9309 BibRef

Lazar, C.,
Pattern recognition algorithm based on cyclic codes,
ICPR92(II:455-457).
WWW Version. 9208 BibRef

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