14.1.2 Pattern Recognition Systems

Chapter Contents (Back)
Pattern Recognition. 9805

Bonner, R.E.,
A Logical Pattern Recognition Program,
IBMRD(6), July 1962, pp. 353-359. BibRef 6207

Barus, C.,
An Easily Mechanized Scheme for an Adaptive Pattern Recognizer,
TC(15), 1966, pp. 385-387. BibRef 6600

Marill, T., Green, D.M.,
Statistical Recognition Functions and the Design of Pattern Recognizers,
TC(9), 1960, pp. 472-477. BibRef 6000

Rushforth, C.K.,
Recognizing Patterns in Photographs,
AppOpt(4), No. 4, April 1965, pp. 379-383. BibRef 6504

Rosenfeld, A., Huang, H.K., Schneider, V.B.,
An Application of Cluster Detection to Text and Picture Processing,
IT(15), No. 6, November 1969, pp. 665. BibRef 6911

Ullman, J.,
Experiments with the N-Tuple Method of Pattern Recognition,
TC(18), No. 12, December 1969, pp. 1135-1137. BibRef 6912

Fukunaga, K.,
Statistical Pattern Classification,
HPRIP86(3-32). BibRef 8600

Fukunaga, K.,
Statistical Pattern Recognition,
HPRCV97(Chapter I:2). (Purdue Univ.) BibRef 9700

Grenander, U.,
A Unified Approach to Pattern Analysis,
Advances in Computers(10), 1970. BibRef 7000

O'Callaghan, J.F.,
A coding approach to pattern recognition,
PR(2), No. 3, September 1970, pp. 199-214.
Elsevier DOI 0309
Classes of number sequences representing line drawings. Compare to human recognition. BibRef

Patrick, E.A.,
Interactive pattern analysis and classification utilizing prior knowledge,
PR(3), No. 1, April 1971, pp. 53-71.
Elsevier DOI 0309
BibRef

Becker, P.W., Nielsen, K.A.,
Pattern Recognition Using Dynamic Pictorial Information,
SMC(2), July 1972, pp. 434-437. BibRef 7207

Hoffman, R.L., and Jain, A.K.,
Sparse Decompositions for Exploratory Pattern Analysis,
PAMI(9), No. 4, July 1987, pp. 551-560. Remove the subsets that are regular or compact, then go to the next best. BibRef 8707

Griffin, P.M.[Paul M.], Deuermeyer, B.L.[Bryan L.], Griffin, P.M., Deuermeyer, B.L.,
A Methodology for Pattern Matching of Complex Objects,
PR(23), No. 3-4, 1990, pp. 245-254.
Elsevier DOI BibRef 9000

Brzakovic, D., Vujovic, N.,
Designing a Defect Classification-System: A Case-Study,
PR(29), No. 8, August 1996, pp. 1401-1419.
Elsevier DOI 9608
BibRef

Moss, R.H.[Randy H.], Robinson, C.M.[C. Michael], Poppelbaum, W.J.,
On-Line Recognition (OLREC): A Novel Approach to Visual Pattern Recognition,
PR(16), No. 6, 1983, pp. 535-550.
Elsevier DOI 9611
BibRef

Wallace, A.M., McAndrew, P.,
Inferring the Presence of Objects from Feature Data,
PRL(9), 1989, pp. 287-295. BibRef 8900

Brailovsky, V.L.[Victor L.], Kempner, Y.[Yulia],
Application of Piece-Wise Regression to Detecting Internal Structure of Signal,
PR(25), No. 11, November 1992, pp. 1361-1370.
Elsevier DOI 0401
BibRef

Brailovsky, V.L.,
On vector piece-wise regression and clustering,
ICPR92(III:83-87).
IEEE DOI 9208
BibRef

Wood, J., Shawe-Taylor, J.[John],
A Unifying Framework for Invariant Pattern-Recognition,
PRL(17), No. 14, December 30 1996, pp. 1415-1422. 9702
BibRef

Zalevsky, Z., Mendlovic, D., Garcia, J.,
Invariant Pattern-Recognition by Use of Wavelength Multiplexing,
AppOpt(36), No. 5, February 10 1997, pp. 1059-1063. 9702
BibRef

Wang, W.H., Chen, Y.C.,
New Approach for Scale, Rotation, and Translation Invariant Pattern-Recognition,
OptEng(36), No. 4, April 1997, pp. 1113-1122. 9705
BibRef

Levkovitz, J., Oron, E., Tur, M.,
Position-Invariant, Rotation-Invariant, and Scale-Invariant Process for Binary Image Recognition,
AppOpt(36), No. 14, May 10 1997, pp. 3035-3042. 9706
BibRef

Liu, H.K., Jin, Y.H., Marzwell, N.I.,
Advanced Ultra-High-Capacity Optical Random-Access Memory and Pattern-Recognition Techniques,
OptEng(37), No. 3, March 1998, pp. 779-788. 9804
BibRef

Ouslim, M., Curtis, K.M.,
Pattern recognition based on a probablistic RAM net using n-tuple input mapping,
VISP(145), No. 6, December 1998, pp. p.415. BibRef 9812

Howard, A.[Ayanna], Padgett, C.[Curtis],
A generalized approach to real-time pattern recognition in sensed data,
PR(32), No. 12, December 1999, pp. 2069-2071.
Elsevier DOI BibRef 9912

Hong, S.J.[Se June], Weiss, S.M.[Sholom M.],
Advances in predictive models for data mining,
PRL(22), No. 1, January 2001, pp. 55-61.
Elsevier DOI 0105
BibRef


Dom, B.[Byron],
Pattern Recognition Meets the World Wide Web,
ICPR00(Vol II: 52-59).
IEEE DOI 0009
BibRef

Bonifazi, G., Patrizi, G., Massacci, P., Nieddu, L.,
The Classification of Industrial Sand-Ores By Image Recognition Methods,
ICPR96(IV: 174-179).
IEEE DOI 9608
(Univ. di Roma, I) BibRef

Baker, S.[Simon], Nayar, S.K.[Shree K.],
Pattern Rejection,
CVPR96(544-549).
IEEE DOI BibRef 9600
And:
Algorithms for Pattern Rejection,
ICPR96(II: 869-874).
IEEE DOI 9608
BibRef
And:
A Theory of Pattern Rejection,
ARPA96(1161-1166). (Columbia Univ., USA) BibRef

Todd, H.S.,
A Descriptive Pattern Recognition System Applied to Pictorial Patterns Where the Discriminating Information Is Carried in the Object Shape,
CVPR88(430-436).
IEEE DOI BibRef 8800

Almohamad, H.A.,
A Pattern Recognition Algorithm Based on the Rapid Transform,
CVPR88(445-449).
IEEE DOI BibRef 8800

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


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