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Samko, O.,
Marshall, A.D.,
Rosin, P.L.,
Selection of the optimal parameter value for the Isomap algorithm,
PRL(27), No. 9, July 2006, pp. 968-979.
WWW Version. Nonlinear dimensionality reduction; Manifold learning
0605
BibRef
Yip, A.M.,
Ding, C.,
Chan, T.F.,
Dynamic Cluster Formation Using Level Set Methods,
PAMI(28), No. 6, June 2006, pp. 877-889.
WWW Version.
0605Density based clustering.
BibRef
Ozertem, U.[Umut],
Erdogmus, D.[Deniz],
Jenssen, R.[Robert],
Spectral feature projections that maximize Shannon mutual information
with class labels,
PR(39), No. 7, July 2006, pp. 1241-1252.
WWW Version.
0606Feature extraction; Mutual information; Optimal subspace projection
BibRef
Ozertem, U.[Umut],
Erdogmus, D.[Deniz],
Jenssen, R.[Robert],
Mean shift spectral clustering,
PR(41), No. 6, June 2008, pp. 1924-1938.
WWW Version.
0802Similarity based clustering; Nonparametric density estimation;
Mean shift; Connected components; Spectral clustering
BibRef
Hild, II, K.E.[Kenneth E.],
Erdogmus, D.[Deniz],
Torkkola, K.[Kari],
Principe, J.C.[Jose C.],
Feature Extraction Using Information-Theoretic Learning,
PAMI(28), No. 9, September 2006, pp. 1385-1392.
WWW Version.
0608Train feature extraction independently of the classification.
Maximize mutual information between the labels and the output
of the feature extractor.
BibRef
Jenssen, R.[Robert],
Erdogmus, D.[Deniz],
Hild, II, K.E.[Kenneth E.],
Principe, J.C.[Jose C.],
Eltoft, T.[Torbjørn],
Information cut for clustering using a gradient descent approach,
PR(40), No. 3, March 2007, pp. 796-806.
WWW Version.
0611
BibRef
Earlier:
Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic,
Non-parametric Clustering,
EMMCVPR05(34-45).
WWW Version.
0601Graph theoretic cut; Information theory; Parzen window density estimation;
Clustering; Gradient descent optimization; Annealing
BibRef
Blansché, A.,
Gançarski, P.,
Korczak, J.J.,
MACLAW: A modular approach for clustering with local attribute
weighting,
PRL(27), No. 11, August 2006, pp. 1299-1306.
WWW Version.
0606Complex data; Modular clustering; Feature weighting;
Cooperative coevolution; Clustering criterion
BibRef
Gancarski, P.,
Blansche, A.,
Wania, A.,
Comparison between two coevolutionary feature weighting algorithms in
clustering,
PR(41), No. 3, March 2008, pp. 983-994.
WWW Version.
0711Complex data; Modular clustering; Feature weighting; Cooperative coevolution
BibRef
Forestier, G.[Germain],
Derivaux, S.[Sébastien],
Wemmert, C.[Cédric],
Gançarski, P.[Pierre],
An Evolutionary Approach for Ontology Driven Image Interpretation,
EvoIASP08(xx-yy).
WWW Version.
0804
BibRef
Kennedy, J.,
Mendes, R.,
Neighborhood Topologies in Fully Informed and Best-of-Neighborhood
Particle Swarms,
SMC-C(36), No. 4, July 2006, pp. 515-519.
WWW Version.
0606Discover optimal regions by emulating neighbors.
BibRef
Ng, M.K.[Michael K.],
Li, M.J.[Mark Junjie],
Huang, J.Z.[Joshua Zhexue],
He, Z.[Zengyou],
On the Impact of Dissimilarity Measure in k-Modes Clustering Algorithm,
PAMI(29), No. 3, March 2007, pp. 503-507.
WWW Version.
0702 See also Alternative Extension of the k-Means Algorithm for Clustering Categorical Data, An.
BibRef
Haralick, R.M.[Robert M.],
Harpaz, R.[Rave],
Linear manifold clustering in high dimensional spaces by stochastic
search,
PR(40), No. 10, October 2007, pp. 2672-2684.
WWW Version.
0707Clustering; Linear manifold; Subspace; Histogram thresholding;
Data exploration; Random projections.
Cluster center is not a single point, for dispersed centers.
BibRef
Iwata, K.[Kazunori],
Hayashi, A.[Akira],
A Redundancy-Based Measure of Dissimilarity among Probability
Distributions for Hierarchical Clustering Criteria,
PAMI(30), No. 1, January 2008, pp. 76-88.
WWW Version.
0711Measure difference between clusters.
BibRef
Jung, G.J.,
Oh, Y.H.,
Information Distance-Based Subvector Clustering for ASR Parameter
Quantization,
SPLetters(15), No. 1, 2008, pp. 209-212.
WWW Version.
0802
BibRef
Gao, H.,
Meng, X.,
Chen, T.,
New Design of Robust H-inf Filters for 2-D Systems,
SPLetters(15), No. 1, 2008, pp. 217-220.
WWW Version.
0802
BibRef
Halkidi, M.[Maria],
Vazirgiannis, M.[Michalis],
A density-based cluster validity approach using multi-representatives,
PRL(29), No. 6, 15 April 2008, pp. 773-786.
WWW Version.
0803Cluster validity; Clustering; Quality assessment; Unsupervised learning
BibRef
Toh, K.A.[Kar-Ann],
Eng, H.L.[How-Lung],
Between Classification-Error Approximation and Weighted Least-Squares
Learning,
PAMI(30), No. 4, April 2008, pp. 658-669.
WWW Version.
0803
BibRef
Dehzangi, O.[Omid],
Zolghadri, M.J.[Mansoor J.],
Taheri, S.[Shahram],
Dehzangi, A.[Abdollah],
An Efficient Nearest Neighbor Classifier Using an Adaptive Distance
Measure,
CAIP07(970-978).
WWW Version.
0708
BibRef
Zhang, T.[Tao],
Boult, T.E.[Terrance E.],
Johnson, R.C.,
Two thresholds are better than one,
VS07(1-8).
WWW Version.
0706Rather than optimal Bayesian single threshold, better results with 2,
use spatial cohesion.
BibRef
Ye, J.P.[Jie-Ping],
Zhao, Z.[Zheng],
Liu, H.[Huan],
Adaptive Distance Metric Learning for Clustering,
CVPR07(1-7).
WWW Version.
0706
BibRef
Pekalska, E.[Elzbieta],
Harol, A.[Artsiom],
Duin, R.P.W.[Robert P. W.],
Spillmann, B.[Barbara],
Bunke, H.[Horst],
Non-Euclidean or Non-metric Measures Can Be Informative,
SSPR06(871-880).
WWW Version.
0608
BibRef
Yamashita, Y.[Yukihiko],
Numakami, M.[Mariko],
Inoue, N.[Naoya],
Maxwell Normal Distribution in a Manifold and Mahalanobis Metric,
SSPR06(604-612).
WWW Version.
0608
BibRef
Mekuz, N.[Nathan],
Tsotsos, J.K.[John K.],
Parameterless Isomap with Adaptive Neighborhood Selection,
DAGM06(364-373).
WWW Version.
0610Isomap usually dependent on initial parameters.
BibRef
Sun, X.[Xichen],
Cheng, Q.S.[Qian-Sheng],
On Subspace Distance,
ICIAR06(II: 81-89).
WWW Version.
0610
BibRef
Demirkol, A.[Askin],
Demir, Z.[Zafer],
Emre, E.[Erol],
Alternative Approaches and Algorithms for Classification,
ICIAR06(II: 35-46).
WWW Version.
0610
BibRef
Earlier:
Estimation of Target Density Functions by a New Algorithm,
ICIAR05(1200-1207).
WWW Version.
0509Centers of masses, new cost function.
BibRef
Chen, J.[Jie],
Wang, R.P.[Rui-Ping],
Shan, S.G.[Shi-Guang],
Chen, X.L.[Xi-Lin],
Gao, W.[Wen],
Isomap Based on the Image Euclidean Distance,
ICPR06(II: 1110-1113).
WWW Version.
0609
BibRef
Wang, J.G.[Ji-Gang],
Neskovic, P.[Predrag],
Cooper, L.N.[Leon N.],
A Minimum Sphere Covering Approach to Pattern Classification,
ICPR06(III: 433-436).
WWW Version.
0609
BibRef
Long, T.[Teng],
Jin, L.W.[Lian-Wen],
A New Simplified Gravitational Clustering Method for Multi-prototype
Learning Based on Minimum Classification Error Training,
IWICPAS06(168-175).
WWW Version.
0608
BibRef
Gedda, M.[Magnus],
Svensson, S.[Stina],
Fuzzy Distance Based Hierarchical Clustering Calculated Using the A?
Algorithm,
IWCIA06(101-115).
WWW Version.
0606
BibRef
Torsello, A.[Andrea],
Bulo, S.R.[Samuel Rota],
Pelillo, M.[Marcello],
Grouping with Asymmetric Affinities: A Game-Theoretic Perspective,
CVPR06(I: 292-299).
WWW Version.
0606
BibRef
Banerjee, A.[Arunava],
Kodipaka, S.[Santhosh],
Vemuri, B.C.[Baba C.],
A Conic Section Classifier and its Application to Image Datasets,
CVPR06(I: 103-108).
WWW Version.
0606Each member class is represented by a conic section, classification by
nearness to the conic (using parameteriztion)
BibRef
Joachims, T.[Thorsten],
The Maximum Margin Approach to Learning Text
Classifiers Methods, Theory and Algorithms,
Ph.D.thesis, Dortmund Univ., 2000.
BibRef
0001
Toh, K.A.[Kar-Ann],
Jiang, X.D.[Xu-Dong],
Yau, W.Y.[Wei-Yun],
Relaxation of Hard Classification Targets for LSE Minimization,
EMMCVPR05(187-202).
WWW Version.
0601
BibRef
Polat, K.[Kemal],
Sahan, S.[Seral],
Kodaz, H.[Halife],
Günes, S.[Salih],
Outdoor Image Classification Using Artificial Immune Recognition System
(AIRS) with Performance Evaluation by Fuzzy Resource Allocation Mechanism,
CAIP05(81).
WWW Version.
0509
BibRef
Zhang, W.D.[Wen-De],
Chen, T.H.[Tsu-Han],
Classification based on symmetric maximized minimal distance in
subspace (SMMS),
CVPR03(II: 100-105).
IEEE Abstract. IEEE Top Reference.
0307
BibRef
Yang, M.H.[Ming-Hsuan],
Extended Isomap for classification,
ICPR02(III: 615-618).
WWW Version.
0211
BibRef
Muller, N.,
Herbst, B.M.,
Extending the linear interpolating condition to advanced synthetic
discriminant function variants,
ICPR02(III: 883-886).
WWW Version.
0211 See also On the Use of SDF-Type Filters for Distortion Parameter Estimation.
BibRef
Zhu, Y.[Ying],
Schwartz, S.,
Discriminant analysis and adaptive wavelet feature selection for
statistical object detection,
ICPR02(IV: 86-89).
WWW Version.
0211
BibRef
lbrahimov, O.,
Sethi, I.,
Dimitrova, N.,
The performance analysis of a chi-square similarity measure for topic
related clustering of noisy transcripts,
ICPR02(IV: 285-288).
WWW Version.
0211
BibRef
Ujiie, H.,
Omachi, S.,
Aso, H.,
A discriminant function considering normality improvement of the
distribution,
ICPR02(II: 224-227).
WWW Version.
0211
BibRef
Chernov, V.M.[Vladimir M.],
Diophantine Approximations of Algebraic Irrationalities and Stability
Theorems for Polynomial Decision Rules,
CAIP01(177 ff.).
HTML Version.
0210
BibRef
Barla, A.,
Odone, F.[Francesca],
Verri, A.[Alessandro],
Histogram intersection kernel for image classification,
ICIP03(III: 513-516).
IEEE Abstract. IEEE Top Reference.
0312
BibRef
Delponte, E.,
Noceti, N.,
Odone, F.,
Verri, A.,
Appearance-based 3D object recognition with time-invariant features,
CIAP07(467-474).
WWW Version.
0709
BibRef
Barla, A.,
Odone, F.,
Verri, A.,
Hausdorff Kernel for 3D Object Acquisition and Detection,
ECCV02(IV: 20 ff.).
HTML Version.
0205
BibRef
Barla, A.[Annalisa],
Odone, F.,
Verri, A.,
Old fashioned state-of-the-art image classification,
CIAP03(566-571).
IEEE Abstract. IEEE Top Reference.
0310
BibRef
Ménard, M.,
Dardignac, P.A.,
Courboulay, V.,
Switching Regression Models Using Ambiguity and Distance Rejects:
Application to Ionogram Analysis,
ICPR00(Vol II: 688-691).
WWW Version.
HTML Version.
0009
BibRef
Keysers, D.,
Dahmen, J.,
Theiner, T.,
Ney, H.,
Experiments with an Extended Tangent Distance,
ICPR00(Vol II: 38-42).
WWW Version.
HTML Version.
0009
BibRef
Foucher, S.,
Boucher, J.M.,
Benie, G.B.,
Multiscale and Multisource Classification using Dempster-Shafer Theory,
ICIP99(I:124-128).
IEEE Abstract. IEEE Top Reference.
BibRef
9900
Anh, V.,
Bui, T.,
Chen, G., and
Tieng, Q.,
The Hellinger-Kakutani Metric for Pattern Recognition,
ICIP97(II: 430-433).
WWW Version.
BibRef
9700
Murthy, C.A.,
Majumder, D.D.,
A method for consistent estimation of compact regions for cluster
analysis,
ICPR90(I: 665-667).
WWW Version.
9006
BibRef
Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Mixture Models, Mixed Pixels .