14.2.16 Nonparametric Clustering

Chapter Contents (Back)
Nonparametric Clustering. 9805
Non-parametric Clustering

Loftsgaarden, D., and Quesenberry, C.,
A Nonparametric Estimate of a Multivariate Density Function,
AMS(36), 1965, pp. 1049-1051. BibRef 6500

Sebestyen, G.S., Edie, J.L.,
An Algorithm for Nonparametric Pattern Recognition,
TC(15), 1966, pp. 908-915. BibRef 6600

Swain, P.H.,
On Nonparametric and Linguistic Approaches to Pattern Recognition,
Ph.D.Thesis, Purdue, June 1970. BibRef 7006

Fromm, F.R.[Frederick R.], Northouse, R.A.[Richard A.],
CLASS: A Nonparametric Clustering Algorithm,
PR(8), No. 3, July 1976, pp. 107-114.
Elsevier DOI BibRef 7607

Stone, C.J.,
Consistent Nonparametric Regression,
AStat(5), No. 4, 1977, pp. 595-645. BibRef 7700

Narendra, P.M., Goldberg, M.,
A non-parametric clustering scheme for Landsat,
PR(9), No. 4, 1977, pp. 207-215.
Elsevier DOI 0309
BibRef

Sheela, B.V., and Dasarathy, B.V.,
OPAL: A New Algorithm for Optimal Partitioning and Learning in Non-Parametric Unsupervised Environments,
CIS(8), No. 3, 1979, pp. 239-253. BibRef 7900

Sheela, B.V., and Dasarathy, B.V.,
ANDAL: A Nonparametric Discrimination and Learning Algorithm for Recognition in Imperfectly Supervised Environments,
PAMI(3), No. 4, July 1981, pp. 469-476. BibRef 8107

Fukunaga, K., and Mantock, J.M.,
Nonparametric Data Reduction,
PAMI(6), No. 1, January 1984, pp. 115-118. BibRef 8401

Conrad, M.P.[Morgan P.],
A rapid, non-parametric clustering scheme for flow cytometric data,
PR(20), No. 2, 1987, pp. 229-235.
Elsevier DOI 0309
BibRef

Matthews, G., and Hearne, J.,
Clustering without a Metric,
PAMI(13), No. 2, February 1991, pp. 175-184.
IEEE DOI BibRef 9102

Lee, C.H.[Chul-Hee], and Landgrebe, D.A.[David A.],
Fast Multistage Likelihood Classification,
GeoRS(29), No. 4, July 1991, pp. 509-517.
IEEE Top Reference. BibRef 9107

Lee, C.H.[Chul-Hee], and Landgrebe, D.A.[David A.],
Feature Extraction Based on Decision Boundaries,
PAMI(15), No. 4, April 1993, pp. 388-400.
IEEE DOI
PDF File. BibRef 9304

Woo, S.[Seongyoun], Lee, C.H.[Chul-Hee],
Incremental feature extraction based on decision boundaries,
PR(77), 2018, pp. 65-74.
Elsevier DOI 1802
Dimensionality reduction, Incremental learning, Neural networks, Decision boundary feature extraction BibRef

Lee, C.H.[Chul-Hee], and Landgrebe, D.A.[David A.],
Decision Boundary Feature Extraction for Non-Parametric Classification,
SMC(23), No. 2, March/April, 1993, pp. 433-444.
PDF File. BibRef 9303

Lee, C.H.[Chul-Hee], and Landgrebe, D.A.[David A.],
Analyzing High Dimensional Multispectral Data,
GeoRS(31), No. 4, July 1993, pp. 792-800.
IEEE Top Reference. Hyperspectral.
PDF File. BibRef 9307

Lee, C., Landgrebe, D.A.,
Decision Boundary Feature-Extraction for Neural Networks,
TNN(8), No. 1, January 1997, pp. 75-83. 9701
BibRef

Go, J.[Jinwook], Lee, C.H.[Chul-Hee],
Analytical Decision Boundary Feature Extraction for Neural Networks with Multiple Hidden Layers,
CAIP03(579-587).
Springer DOI 0311
BibRef

Kuo, B.C., Landgrebe, D.A.,
Nonparametric Weighted Feature Extraction for Classification,
GeoRS(42), No. 5, May 2004, pp. 1096-1105.
IEEE Abstract. 0407
BibRef

Xie, Q., Laszlo, C.A., and Ward, R.K.,
Vector Quantization Technique for Nonparametric Classifier Design,
PAMI(15), No. 12, December 1993, pp. 1326-1330.
IEEE DOI BibRef 9312

Roberts, S.J.[Stephen J.],
Parametric and Nonparametric Unsupervised Cluster-Analysis,
PR(30), No. 2, February 1997, pp. 261-272.
Elsevier DOI 9704
BibRef

Salvador-Sanchez, J.[Jose], Pla, F.[Filiberto], Ferri, F.J.[Francesc J.],
On the Use of Neighborhood Based Nonparametric Classifiers,
PRL(18), No. 11-13, November 1997, pp. 1179-1186. 9806
BibRef
Earlier:
Using proximity and spatial homogeneity in neighbourhood-based classifiers,
CIAP97(I: 206-213).
Springer DOI 9709
BibRef

Palau, A.[Alessandro], Melgani, F.[Farid], Serpico, S.B.[Sebastiano B.],
Cell algorithms with data inflation for non-parametric classification,
PRL(27), No. 7, May 2006, pp. 781-790.
Elsevier DOI Non-parametric classification; k-NN classifier; Data inflation 0604
BibRef

Gupta, M.R.[Maya R.], Gray, R.M.[Robert M.], and Olshen, R.A.[Richard A.],
Nonparametric Supervised Learning by Linear Interpolation with Maximum Entropy,
PAMI(28), No. 5, May 2006, pp. 766-781.
IEEE DOI 0604
BibRef

Mitani, Y., Hamamoto, Y.,
A local mean-based nonparametric classifier,
PRL(27), No. 10, 15 July 2006, pp. 1151-1159.
Elsevier DOI 0606
BibRef
Earlier:
Classifier Design Based on the Use of Nearest Neighbor Samples,
ICPR00(Vol II: 769-772).
IEEE DOI 0009
Classifier design; Nearest neighbor samples; Small training sample size; Dimensionality BibRef

Tang, D.M.[Dong-Ming], Zhu, Q.X.[Qing-Xin], Cao, Y.[Yong], Yang, F.[Fan],
An Efficient Clustering Algorithm for Irregularly Shaped Clusters,
IEICE(E93-D), No. 2, February 2010, pp. 384-387.
WWW Link. 1002
BibRef

Huang, Q., Wu, D.,
Flatten a Curved Space by Kernel,
SPMag(30), No. 5, 2013, pp. 132-142.
IEEE DOI 1309
Applications Corner. Clustering algorithms for data in non Eulidean spaces. Kernel methods. BibRef

Esmaeilzehi, A.[Alireza], Moghaddam, H.A.[Hamid Abrishami],
Nonparametric kernel sparse representation-based classifier,
PRL(89), No. 1, 2017, pp. 46-52.
Elsevier DOI 1704
Sparse representation-based classifier BibRef


Straub, J.[Julian], Campbell, T.[Trevor], How, J.P.[Jonathan P.], Fisher, J.W.[John W.],
Small-variance nonparametric clustering on the hypersphere,
CVPR15(334-342)
IEEE DOI 1510
BibRef

Rehn, E.M.[Erik M.], Sprekeler, H.[Henning],
Nonlinear Supervised Locality Preserving Projections for Visual Pattern Discrimination,
ICPR14(1568-1573)
IEEE DOI 1412
Accuracy BibRef

Li, P.S.[Patrick S.], Frey, B.J.[Brendan J.],
Factorizing appearance using epitomic flobject analysis,
CVPR12(2839-2846).
IEEE DOI 1208
BibRef

Li, P.S.[Patrick S.], Givoni, I.E.[Inmar E.], Frey, B.J.[Brendan J.],
Learning better image representations using 'flobject analysis',
CVPR11(2721-2728).
IEEE DOI 1106
BibRef

Chua, J.[Jeroen], Givoni, I.E.[Inmar E.], Adams, R.[Ryan], Frey, B.J.[Brendan J.],
Learning structural element patch models with hierarchical palettes,
CVPR12(2416-2423).
IEEE DOI 1208
BibRef

Lazic, N.[Nevena], Givoni, I.E.[Inmar E.], Frey, B.J.[Brendan J.], Aarabi, P.[Parham],
FLoSS: Facility location for subspace segmentation,
ICCV09(825-832).
IEEE DOI 0909
Segment data on multiple linear subspaces. For motion segmentation, data clustering. BibRef

Nasios, N., Bors, A.G.,
Nonparametric Clustering Using Quantum Mechanics,
ICIP05(III: 820-823).
IEEE DOI 0512
BibRef

Archambeau, C., Butz, T., Popovici, V., Verleysen, M., Thiran, J.P.,
Supervised nonparametric information theoretic classification,
ICPR04(III: 414-417).
IEEE DOI 0409
BibRef

Yang, C.J.[Chang-Jiang], Duraiswami, R., DeMenthon, D.F., Davis, L.S.,
Mean-shift analysis using quasi-newton methods,
ICIP03(II: 447-450).
IEEE DOI 0312
BibRef

Tsuda, K., Minoh, M.,
A Nonparametric Density Model for Classification in a High Dimensional Space,
ICDAR97(1082-1086).
IEEE DOI 9708
BibRef

Kégl, B.[Balazs], Krzyzak, A.[Adam], Niemann, H.[Heinrich],
Radial Basis Function Networks and Complexity Regularization in Function Learning and Classification,
ICPR00(Vol II: 81-86).
IEEE DOI 0009
BibRef
Earlier:
Radial Basis Function Networks in Nonparametric Classification and Function Learning,
ICPR98(Vol I: 565-570).
IEEE DOI 9808
BibRef

Krzyzak, A., Klasa, S., Xu, L.,
On L1 convergence rate of RBF networks and kernel regression estimators with applications in classification,
ICPR94(B:364-366).
IEEE DOI 9410
BibRef

Krzyzak, A., Linder, T., Lugosi, G.,
Nonparametric classification using radial basis function nets and empirical risk minimization,
ICPR94(B:72-76).
IEEE DOI 9410
BibRef

Krzyzak, A.[Adam], Linder, T.[Tamas],
Radial Basis Function Networks and Nonparametric Classification: Complexity Regularization and the Rates of Convergence,
ICPR96(IV: 650-653).
IEEE DOI 9608
(Concordia Univ., Cdn) BibRef

Gorte, B., Gorte-Kroupnova, N.,
Non-Parametric Classification Algorithm with an Unknown Class,
SCV95(443-448).
IEEE DOI International Institute for Aerospace Survey and Earth Sciences. University of Twente. BibRef 9500

Buluswar, S.D.[Shashi D.], and Draper, B.A.[Bruce A.],
Non-parametric Classification of Pixels Under Varying Outdoor Illumination,
ARPA94(II:1619-1625). BibRef 9400
And: COINSTR 95-13, February 1995.
PS File. BibRef

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


Last update:Aug 16, 2018 at 18:22:30