14.5.4 Statistical Learning, Clustering, Learning Feature Values

Chapter Contents (Back)
Statistical Learning. Classification. Pattern Recognition.

Girard, A.L.,
Parameter estimation and learning/classification threshold optimization applied to maxentropic adaptive pattern recognition,
PR(3), No. 3, October 1971, pp. 235-241.
WWW Version. 0309 BibRef

Lakshminarasimhan, A.L., and Dasarathy, B.V.,
Multi-State Choice Automata Model for Expedient Learning in Random Environment,
IS(9), October 1975, pp. 91-98. BibRef 7510

Dasarathy, B.V., and Lakshminarasimhan, A.L.,
Sequential Learning Employing Unfamiliar Teacher Hypotheses (SLEUTH) with Concurrent Estimation of Both the Parameters and Teacher Characteristics,
CIS(5), March 1976, No. 1, pp. 1-7. BibRef 7603

Dasarathy, B.V.,
DHARMA: Discriminant Hyperplane Abstracting Residuals Minimization Algorithm for Separating Clusters with Fuzzy Boundaries,
PIEEE(64), No. 5, May 1976, pp. 823-824. BibRef 7605

Dasarathy, B.V.,
SMART: Similarity Measure Anchored Ranking Technique for the Analysis of Multidimensional Data Arrays,
SMC(6), October 1976, pp. 708-711. BibRef 7610

Dasarathy, B.V.,
HINDU: Histogram Inspired Neighborhood Discerning Unsupervised Pattern Recognition System,
MPRSD76(xx). BibRef 7600

Dasarathy, B.V.,
An Incisive Neighborhood Discerning Iteratively Aggregating Nomenclator (INDIAN) System for Pattern Recognition in Unsupervised Environments,
MPRSD75(xx). BibRef 7500

Gaillat, G.[Gerard],
A simple learning decision algorithm for character recognition and pattern classification,
PR(10), No. 2, 1978, pp. 99-104.
WWW Version. 0309 BibRef

Pau, L.F.,
Game Theoretical Pattern Recognition: Applications to Imprefect Noncooperative Learning and to Multiclass Classification,
PAMI(6), No. 1, January 1984, pp. 118-123. BibRef 8401

Pudil, P., Novovicova, J., Kittler, J.V.,
Simultaneous Learning of Decision Rules and Important Attributes for Classification Problems in Image-Analysis,
IVC(12), No. 3, April 1994, pp. 193-198.
WWW Version. BibRef 9404
Earlier:
Automatic Machine Learning of Decision Rule for Classification Problems in Image Analysis,
BMVC93(15-24). BibRef

Pelillo, M., Refice, M.,
Learning Compatibility Coefficients for Relaxation Labeling Processes,
PAMI(16), No. 9, September 1994, pp. 933-945.
IEEE Abstract. IEEE Top Reference.
WWW Version. Relaxation. BibRef 9409

Uchiyama, T.[Toshio], Arbib, M.A.[Michael A.],
An algorithm for competitive learning in clustering problems,
PR(27), No. 10, October 1994, pp. 1415-1421.
WWW Version. 0401 BibRef

Chien, S., Gratch, J., Burl, M.,
On the Efficient Allocation of Resources for Hypothesis Evaluation: A Statistical Approach,
PAMI(17), No. 7, July 1995, pp. 652-665.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9507

Grewe, L., Kak, A.C.,
Interactive Learning of a Multiple-Attribute Hash Table Classifier for Fast Object Recognition,
CVIU(61), No. 3, May 1995, pp. 387-416.
WWW Version.
HTML Version. BibRef 9505

Yang, P.F.[Ping-Fai], Maragos, P.[Petros],
Min-max classifiers: Learnability, design and application,
PR(28), No. 6, June 1995, pp. 879-899.
WWW Version. 0401 BibRef

Devroye, L.[Luc], Lugosi, G.[Gábor],
Lower bounds in pattern recognition and learning,
PR(28), No. 7, July 1995, pp. 1011-1018.
WWW Version. 0401 BibRef

Babri, H., Kot, A.C., Tay, S.L., Ngian, S.P.,
Error-Based Constraints for Efficient Learning of Pattern-Recognition Problems,
PRL(17), No. 12, October 25 1996, pp. 1239-1245. 9612 BibRef

Joshi, A., Ramakrishman, N., Houstis, E.N., Rice, J.R.,
On Neurobiological, Neuro-Fuzzy, Machine Learning, and Statistical Pattern-Recognition Techniques,
TNN(8), No. 1, January 1997, pp. 18-31. 9701 BibRef

Kruger, N.[Norbert],
An Algorithm for the Learning of Weights in Discrimination Functions Using a Priori Constraints,
PAMI(19), No. 7, July 1997, pp. 764-768.
IEEE Abstract. IEEE Top Reference.
WWW Version. 9708Applied to Face Matching, recognition. Elastic Graph matching. See also Face Recognition by Elastic Bunch Graph Matching. BibRef

Laaksonen, J.T., Oja, E.,
Learning Subspace Classifiers and Error Corrective Feature Extraction,
PRAI(12), No. 4, June 1998, pp. 423-436. 9808 BibRef

Evgeniou, T.[Theodoros], Pontil, M.[Massimiliano], Poggio, T.[Tomaso],
Statistical Learning Theory: A Primer,
IJCV(38), No. 1, June 2000, pp. 9-13.
WWW Version. 0006 BibRef

Blake, A., Bascle, B., Isard, M., MacCormick, J.P.,
Statistical Models of Visual Shape and Motion,
Royal(A-356), 1998, pp. 1283-1302. EM-C Expectation-Maximization with Condensation. BibRef 9800

Hwang, W.J.[Wen-Jyi], Ye, B.Y.[Bo-Yuan], Lin, C.T.[Chin-Tsai],
A novel competitive learning algorithm for the parametric classification with Gaussian distributions,
PRL(21), No. 5, May 2000, pp. 375-380. 0005 BibRef


Kelm, B.M.[B. Michael], Pal, C.[Chris], McCallum, A.[Andrew],
Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning,
ICPR06(II: 828-832).
WWW Version. 0609 BibRef

Zou, B.[Bin], Li, L.Q.[Luo-Qing],
The Generalization Performance of Learning Machine Based on Phi-mixing Sequence,
ICPR06(II: 548-551).
WWW Version. 0609 BibRef

Hoque, S., Fairhurst, M.C., Guest, R.M.,
The effect of the inhibition-compensation learning scheme on n-tuple based classifier performance,
ICPR02(III: 452-455).
WWW Version. 0211 BibRef

Hoque, M.S., Fairhurst, M.C.,
An improved learning scheme for the moving window classifier,
ICDAR01(607-611).
WWW Version. 0109 BibRef

Freeman, W.T., Tenenbaum, J.B.,
Learning Bilinear Models for Two Factor Problems in Vision,
CVPR97(554-560).
IEEE Abstract. IEEE Top Reference.
WWW Version. 9704 Award, CVPR. Characters/faces use 2 properties of the 2D object. BibRef

Knutsson, H.[Hans],
Learning Multidimensional Signal Processing,
ICPR98(Vol II: 1416-1420).
WWW Version. 9808 BibRef

Hickinbotham, S.J.[Simon J.], Hancock, E.R.[Edwin R.], Austin, J.[James],
Learning Feature Characteristics,
ICPR98(Vol II: 1160-1164).
WWW Version. 9808 BibRef

Kositsky, M., Ullman, S.,
Learning Class Regions by the Union of Ellipsoids,
ICPR96(IV: 750-757).
WWW Version. 9608(The Weizmann Institute of Science, IL) BibRef

Spence, C.,
Supervised Learning of Detection and Classification Tasks with Uncertain Training Data,
ARPA96(1395-1402). BibRef 9600

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


Last update:Jun 25, 2008 at 13:37:57