14.2 Clustering Techniques, Pattern Recognition Techniques

Chapter Contents (Back)
Classification. Clustering.

14.2.1 Clustering, Pattern Recognition, General Issues

Chapter Contents (Back)
Pattern Recognition. Classification. Matching, Clustering. Clustering.
See also Classification Methods, Clustering for Region Segmentation. The Hough technique could be considered a clustering method. It is covered in (
See also Hough Transform -- Use and Theory. ).

Presto-Box: Pattern REcognition Scilab TOolBOX,
2001
HTML Version. Code, Pattern Recognition. Routines for students to experiment with basic pattern recognition principles.

PRTools: The Matlab Toolbox for Pattern Recognition,
2004.
WWW Link. Code, Pattern Recognition. Matlab package for PR Implementation based on the book:
See also Classification, parameter estimation and state estimation: An engineering approach using Matlab. 0905

MultiSpec: A Freeware Multispectral Image Data Analysis System,
2007.
WWW Link. Code, Pattern Recognition. Purdue package for analyzing multispectral and hyperspectral data.
See also Purdue University. 0905

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CVPR22(16609-16618)
IEEE DOI 2210
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A Second-Order Approach to Learning with Instance-Dependent Label Noise,
CVPR21(10108-10118)
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Zhao, J.[Jia], Wang, G.[Gang], Pan, J.S.[Jeng-Shyang], Fan, T.H.[Tang-Huai], Lee, I.[Ivan],
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CVPR23(3984-3993)
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S-FINCH: An Optimized Streaming Adaptation to FINCH Clustering,
ICPR22(1343-1349)
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Sensitivity, Heuristic algorithms, Clustering methods, Soft sensors, Clustering algorithms, Data science, Benchmark testing BibRef

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The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory,
ICCV21(9133-9143)
IEEE DOI 2203
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ICCV21(590-599)
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IEEE DOI 2112
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On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective,
CVPR21(5198-5207)
IEEE DOI 2111
Estimation, Object detection, Minimization, Pattern recognition, Calibration, Image classification BibRef

Lawson, A.[Austin], Chung, Y.M.[Yu-Min], Cruse, W.[William],
A Hybrid Metric based on Persistent Homology and its Application to Signal Classification,
ICPR21(9944-9950)
IEEE DOI 2105
Shape of the data. Measurement, Weight measurement, Data analysis, Shape, Time series analysis, Transforms, Benchmark testing BibRef

Bai, J.[Jing], Chen, R.[Ran],
Context-Aware Residual Module for Image Classification,
ICPR21(3388-3395)
IEEE DOI 2105
Visualization, Image recognition, Semantics, Focusing, Data mining, Task analysis, Image classification, context-aware, multi-scale, image classificaiton BibRef

Laroui, S.[Sarah], Descombes, X.[Xavier], Vernay, A.[Aurélia], Villiers, F.[Florent], Villalba, F.[François], Debreuve, E.[Eric],
How to define a rejection class based on model learning?,
ICPR21(569-576)
IEEE DOI 2105
Computational modeling, Probability density function, Pattern recognition BibRef

Ayma, V.A., Ferreira, R.S., Happ, P., Oliveira, D., Feitosa, R., Costa, G., Plaza, A., Gamba, P.,
Classification Algorithms for Big Data Analysis, A Map Reduce Approach,
PIA15(17-21).
DOI Link 1504
BibRef

Lovato, P.[Pietro], Milanese, A.[Alessio], Centomo, C.[Cesare], Giorgetti, A.[Alejandro], Bicego, M.[Manuele],
S-BLOSUM: Classification of 2D Shapes with Biological Sequence Alignment,
ICPR14(2335-2340)
IEEE DOI 1412
Accuracy BibRef

Wang, X.Y.[Xiao-Yang], Ji, Q.A.[Qi-Ang],
A Unified Probabilistic Approach Modeling Relationships between Attributes and Objects,
ICCV13(2120-2127)
IEEE DOI 1403
for attribute prediction and object recognition. BibRef

Glazer, A.[Assaf], Lindenbaum, M.[Michael], Markovitch, S.[Shaul],
Feature shift detection,
ICPR12(1383-1386).
WWW Link. 1302
hidden changes due to feature value differences. BibRef

Muńoz, A.[Alberto], González, J.[Javier],
Combining Functional Data Projections for Time Series Classification,
CIARP09(457-464).
Springer DOI 0911
kernel Hilbert space. BibRef

Pérez-Bonilla, A.[Alejandra], Gibert, K.[Karina],
Towards Automatic Generation of Conceptual Interpretation of Clustering,
CIARP07(653-663).
Springer DOI 0711
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).
Springer DOI 0710
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Agarwal, S.[Sameer], Lim, J.W.[Jong-Woo], Zelnik-Manor, L.[Lihi], Perona, P.[Pietro], Kriegman, D.J.[David J.], Belongie, S.J.[Serge J.],
Beyond Pairwise Clustering,
CVPR05(II: 838-845).
IEEE DOI 0507
Relations 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).
IEEE DOI 0409
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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).
IEEE DOI 0211
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Mottl, V., Dvoenko, S., Kopylov, A.,
Pattern Recognition in Interrelated Data: The Problem, Fundamental Assumptions, Recognition Algorithms,
ICPR04(I: 188-191).
IEEE DOI 0409
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Mottl, V., Seredin, O., Dvoenko, S., Kulikowski, C., Muchnik, I.,
Featureless pattern recognition in an imaginary Hilbert space,
ICPR02(II: 88-91).
IEEE DOI 0211
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Singh, S., Galton, A.,
Pattern recognition using information slicing method (PRISM),
ICPR02(II: 144-147).
IEEE DOI 0211
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Saalbach, A., Heidemann, G., Ritter, H.,
Representing object manifolds by parametrized SOMs,
ICPR02(II: 184-187).
IEEE DOI 0211
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Ohta, Y.,
Pattern recognition and understanding for visual information media,
ICPR02(I: 536-545).
IEEE DOI 0211
BibRef

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

Veeramachaneni, S., Fujisawa, H., Liu, C.L.[Cheng-Lin], Nagy, G.,
Classifying isogenous fields,
FHR02(41-46).
IEEE Top Reference. 0209
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Bax, E.,
Using Validation by Inference to Select a Hypothesis Function,
ICPR00(Vol II: 700-703).
IEEE DOI 0009
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Amengual, J.C., Vidal, E.,
On the Estimation of Error-correcting Parameters,
ICPR00(Vol II: 883-886).
IEEE DOI BibRef 0001 ICPR00(Vol II: 887-890).
IEEE DOI 0009
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Baram, Y.,
Random Embedding Machines for Low-complexity Pattern Recognition,
ICPR00(Vol II: 748-754).
IEEE DOI 0009
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Law, M.H., Kwok, J.T.,
Rival Penalized Competitive Learning for Model-based Sequence Clustering,
ICPR00(Vol II: 195-198).
IEEE DOI 0009
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Matas, J.G.[Jiri G.], Pandit, M., Kittler, J.V.[Josef V.],
Selection of Speaker Independent Feature for a Speaker Verification System,
ICPR98(Vol II: 1034-1036).
IEEE DOI 9808
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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).
IEEE DOI 9808
BibRef

Olivier, C., Jouzel, F., Avila, M.,
Markov Model Order Optimization for Text Recognition,
ICDAR97(548-551).
IEEE DOI 9708
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Gennert, M.A., Yuille, A.L.,
Determining the Optimal Weights in Multiple Objective Function Optimization,
ICCV88(87-89).
IEEE DOI 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).
IEEE DOI 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).
IEEE DOI 9610
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Kimura, F., Miyake, Y., Wakabayashi, T.,
On Feature Extraction for Limited Class Problem,
ICPR96(II: 191-194).
IEEE DOI 9608
(Mie Univ., J) BibRef

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

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

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

Blyumin, S.L.,
Multiplicative bases approach in mathematical cybernetics,
ICPR94(B:550-552).
IEEE DOI 9410
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Chen, Y.S.[Yung-Sheng], Shao, W.S.[Wei-Shin],
Useful information plane on pattern classification,
ICPR94(B:605-607).
IEEE DOI 9410
BibRef

Howard, C.G.[Cheryl G.], Bock, P.[Peter],
Multi-class classification and symbolic cognitive processing with ALISA,
CAIP93(343-354).
Springer DOI 9309
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Lazar, C.,
Pattern recognition algorithm based on cyclic codes,
ICPR92(II:455-457).
IEEE DOI 9208
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Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Clustering, Classification, General Methods .


Last update:Mar 16, 2024 at 20:36:19