14.5.6 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 Link. 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 Link. 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 Link. BibRef 9404
Earlier:
Automatic Machine Learning of Decision Rules for Classification Problems in Image Analysis,
BMVC93(15-24).
PDF File. 9309
BibRef

Pelillo, M., Refice, M.,
Learning Compatibility Coefficients for Relaxation Labeling Processes,
PAMI(16), No. 9, September 1994, pp. 933-945.
IEEE DOI 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 Link. 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 DOI 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.
DOI Link
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 Link. 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 Link. 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 DOI 9708
Applied 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.
DOI Link 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


Luo, Y.R.[Yu-Rong], Najarian, K.[Kayvan],
Employing Decoding of Specific Error Correcting Codes as a New Classification Criterion in Multiclass Learning Problems,
ICPR10(4238-4241).
IEEE DOI 1008
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).
IEEE DOI 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).
IEEE DOI 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).
IEEE DOI 0211
BibRef

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

Freeman, W.T., Tenenbaum, J.B.,
Learning Bilinear Models for Two Factor Problems in Vision,
CVPR97(554-560).
IEEE DOI 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).
IEEE DOI 9808
BibRef

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

Kositsky, M., Ullman, S.,
Learning Class Regions by the Union of Ellipsoids,
ICPR96(IV: 750-757).
IEEE DOI 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 26, 2017 at 14:38:16