14.4 Structural, Syntactic Methods for Image Analysis

Chapter Contents (Back)
Syntactic Recognition. Syntatic Descriptions. Grammars. Syntactic.

Banerji, R.B.[Ranan B.],
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And:
Introduction to special issue on syntactic pattern recognition: Part two,
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Thomason, M.G.,
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Yang, G.Z.[Guang-Zheng],
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A Syntactic Approach for Building a Knowledge-Based Pattern Recognition System,
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Tanaka, E.[Eiichi],
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Garcia, P., and Vidal, E.,
Inference of K-Testable Languages in the Strict Sense and Application to Syntactic Pattern Recognition,
PAMI(12), No. 9, September 1990, pp. 920-925.
IEEE DOI BibRef 9009

Oncina, J., Garcia, P., Vidal, E.,
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Earlier:
Transducer learning in pattern recognition,
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Sands, O.S., and Garber, F.D.,
Pattern Representations and Syntactic Classification of Radar Measurements of Commercial Aircraft,
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Bennamoun, M., Boashash, B.,
A Structural Description Based Vision System for Automatic Object Recognition,
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Earlier:
Integration of a part segmentation based vision system,
ICIP94(III: 513-517).
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Bunke, H.,
Structural and Syntactic Pattern Recognition,
HPRCV97(Chapter I:5). (Univ Bern) BibRef 9700

Chorowicz, J., Rouis, T., Rudant, J.P., Manoussis, S.,
Computer Aided Recognition of Relief Patterns on Radar Images Using a Syntax Analysis,
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Oommen, B.J., Kashyap, R.L.,
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Amengual, J.C., Vidal, E.,
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PAMI(20), No. 10, October 1998, pp. 1109-1116.
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Vitulano, D.,
A syntactic approach applied to materials degradation,
PRL(20), No. 1, January 1999, pp. 75-80. BibRef 9901

Chang, Y.I.[Ye-In], Ann, H.Y.[Hsing-Yen],
A note on adaptive 2D-H strings,
PRL(20), No. 1, January 1999, pp. 15-20. BibRef 9901

Jurek, J.[Janusz],
On the linear computational complexity of the parser for quasi-context sensitive languages,
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Oommen, B.J.[B. John], Loke, R.K.S.[Richard K.S.],
On the Pattern Recognition of Noisy Subsequence Trees,
PAMI(23), No. 9, September 2001, pp. 929-946.
IEEE DOI 0110
Recognize trees by processing noisy sub trees. BibRef

Oommen, B.J., Loke, R.K.S.,
Probabilistic Syntactic Pattern Recognition Involving Traditional and Generalized Transposition Errors,
ICPR96(II: 685-689).
IEEE DOI 9608
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Sanfeliu, A., Alquézar, R., Andrade, J., Climent, J., Serratosa, F., Vergés, J.,
Graph-based representations and techniques for image processing and image analysis,
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Mali, K.[Kalyani], Mitra, S.[Sushmita],
Clustering and its validation in a symbolic framework,
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Dupont, P., Denis, F., Esposito, Y.,
Links between probabilistic automata and hidden Markov models: probability distributions, learning models and induction algorithms,
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Sakakibara, Y.[Yasubumi],
Learning context-free grammars using tabular representations,
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Nakamura, K.[Katsuhiko], Matsumoto, M.[Masashi],
Incremental learning of context free grammars based on bottom-up parsing and search,
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Keller, B.[Bill], Lutz, R.[Rudi],
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Klein, D.[Dan], Manning, C.D.[Christopher D.],
Natural language grammar induction with a generative constituent-context model,
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Rico-Juan, J.R.[Juan Ramón], Calera-Rubio, J.[Jorge], Carrasco, R.C.[Rafael C.],
Smoothing and compression with stochastic k-testable tree languages,
PR(38), No. 9, September 2005, 1420-1430.
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Casacuberta, F.[Francisco], Vidal, E.[Enrique], Picó, D.[David],
Inference of finite-state transducers from regular languages,
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Bugalho, M.[Miguel], Oliveira, A.L.[Arlindo L.],
Inference of regular languages using state merging algorithms with search,
PR(38), No. 9, September 2005, 1457-1467.
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Jurek, J.[Janusz],
Recent developments of the syntactic pattern recognition model based on quasi-context sensitive languages,
PRL(26), No. 7, 15 May 2005, pp. 1011-1018.
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Vidal, E., Thollard, F., de la Higuera, C., Casacuberta, F., Carrasco, R.C.,
Probabilistic Finite-State Machines-Part I,
PAMI(27), No. 7, July 2005, pp. 1013-1025.
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Vidal, E., Thollard, F., de la Higuera, C., Casacuberta, F., Carrasco, R.C.,
Probabilistic Finite-State Machines-Part II,
PAMI(27), No. 7, July 2005, pp. 1026-1039.
IEEE Abstract. 0506
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Sakakibara, Y.,
Grammatical Inference in Bioinformatics,
PAMI(27), No. 7, July 2005, pp. 1051-1062.
IEEE Abstract. 0506
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Lucas, S.M., Reynolds, T.J.,
Learning Deterministic Finite Automata with a Smart State Labeling Evolutionary Algorithm,
PAMI(27), No. 7, July 2005, pp. 1063-1074.
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Makarov, A., Moniri, M.,
Binary shape coding using finite automata,
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Skomorowski, M.[Marek],
Syntactic recognition of distorted patterns by means of random graph parsing,
PRL(28), No. 5, 1 April 2007, pp. 572-581.
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Syntactic pattern recognition; Distorted patterns; Graph grammars; Random graphs BibRef

Pradella, M.[Matteo], Reghizzi, S.C.[Stefano Crespi],
A SAT-based parser and completer for pictures specified by tiling,
PR(41), No. 2, February 2008, pp. 555-566.
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Syntactic pattern recognition; Picture languages; Tiling systems; Wang tiles; Two-dimensional grammars and languages; Picture/image generation and interpolation; SAT-solvers BibRef

Zahiri, S.H.[Seyed-Hamid],
Learning automata based classifier,
PRL(29), No. 1, 1 January 2008, pp. 40-48.
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Learning automata; Decision hyperplanes; Data classification; Pattern recognition BibRef

Kalyani, T., Dare, V.R., Thomas, D.G.,
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IJIST(19), No. 2, June 2009, pp. 140-145.
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Annadurai, S., Dare, V.R., Kalyani, T., Thomas, D.G.,
Collage of Iso-Picture Languages and P Systems,
CompIMAGE10(95-106).
Springer DOI 1006
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Earlier: A1, A4, A2, A3:
Rewriting P Systems Generating Iso-picture Languages,
IWCIA08(xx-yy).
Springer DOI 0804
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Geetha, H., Thomas, D.G., Kalyani, T., Robinson, T.,
Recognizability of Polyhexes by Tiling and Wang Systems,
ISVC09(II: 568-577).
Springer DOI 0911
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Sweety, F., Thomas, D.G., Kalyani, T.,
Collage of Hexagonal Arrays,
ISVC08(II: 1167-1175).
Springer DOI 0812
BibRef

Thomas, D.G., Sweety, F., Kalyani, T.,
Results on Hexagonal Tile Rewriting Grammars,
ISVC08(I: 945-952).
Springer DOI 0812
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Thomas, D.G., Begam, M.H., David, N.G.,
Parallel Contextual Hexagonal Array Grammars and Languages,
IWCIA09(344-357).
Springer DOI 0911
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Mas, J., Llados, J., Sanchez, G., Jorge, J.A.P.,
A syntactic approach based on distortion-tolerant Adjacency Grammars and a spatial-directed parser to interpret sketched diagrams,
PR(43), No. 12, December 2010, pp. 4148-4164.
Elsevier DOI 1003
Syntactic Pattern Recognition; Symbol recognition; Diagram understanding; Sketched diagrams; Adjacency Grammars; Incremental parsing; Spatial directed parsing BibRef

Zhu, S.C.[Song-Chun], Mumford, D.[David],
A Stochastic Grammar of Images,
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Sidorova, J., Garcia, J.,
Bridging from syntactic to statistical methods: Classification with automatically segmented features from sequences,
PR(48), No. 11, 2015, pp. 3749-3756.
Elsevier DOI 1506
Syntactic pattern recognition BibRef


Midya, A.[Abhisek], Thomas, D.G., Pani, A.K.[Alok Kumar], Malik, S.[Saleem], Bhatnagar, S.[Shaleen],
Polynomial Time Algorithm for Inferring Subclasses of Parallel Internal Column Contextual Array Languages,
IWCIA17(156-169).
Springer DOI 1706
BibRef

Vo, N.N.[Nam N.], Bobick, A.F.[Aaron F.],
From Stochastic Grammar to Bayes Network: Probabilistic Parsing of Complex Activity,
CVPR14(2641-2648)
IEEE DOI 1409
HSMM BibRef

Krivka, Z.[Zbynek], Martín-Vide, C.[Carlos], Meduna, A.[Alexander], Subramanian, K.G.,
A Variant of Pure Two-Dimensional Context-Free Grammars Generating Picture Languages,
IWCIA14(123-133).
Springer DOI 1405
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Hamdi, S.[Salah], Ben Abdallah, A.[Asma], Bedoui, M.H.[Mohamed Hedi],
Novel Technique for Image Segmentation Based on Grammar Parsing and Hilbert Transform,
ICIAR13(346-353).
Springer DOI 1307
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Parag, T.[Toufiq], Bahlmann, C.[Claus], Shet, V.[Vinay], Singh, M.[Maneesh],
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POCV12(33-38).
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Chellappa, R.[Rama],
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SIG11(688).
IEEE DOI 1201
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Subramanian, K.G., Geethalakshmi, M., David, N.G.[N. Gnanamalar], Nagar, A.K.[Atulya K.],
Picture Array Generation Using Pure 2D Context-Free Grammar Rules,
IWCIA15(187-201).
Springer DOI 1601
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Subramanian, K.G., Nagar, A.K.[Atulya K.], Geethalakshmi, M.,
Pure 2D Picture Grammars (P2DPG) and P2DPG with Regular Control,
IWCIA08(xx-yy).
Springer DOI 0804
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Benedí, J.M.[José-Miguel], Sánchez, J.A.[Joan-Andreu],
Fast Stochastic Context-Free Parsing: A Stochastic Version of the Valiant Algorithm,
IbPRIA07(I: 80-88).
Springer DOI 0706
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Handley, J.C., Namboodiri, A.M., Zanibbi, R.,
Document understanding system using stochastic context-free grammars,
ICDAR05(I: 511-515).
IEEE DOI 0508
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Shilman, M.[Michael], Liang, P.[Percy], Viola, P.[Paul],
Learning Non-Generative Grammatical Models for Document Analysis,
ICCV05(II: 962-969).
IEEE DOI 0510
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Miasnikov, A.D., Haralick, R.M.,
Regression analysis and automorphic orbits in free groups of rank 2,
ICPR04(I: 180-183).
IEEE DOI 0409
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Hero, A.O., Ma, B., Michel, O.,
Imaging Applications of Stochastic Minimal Graphs,
ICIP01(II: 573-576).
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IEEE DOI 0108
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Perez Cortes, J.C., Amengual, J.C., Arlandis, J., Llobet, R.,
Stochastic Error-correcting Parsing for OCR Post-processing,
ICPR00(Vol IV: 405-408).
IEEE DOI 0009
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Fahmy, H., Blostein, D.,
A survey of graph grammars: theory and applications,
ICPR92(II:294-298).
IEEE DOI 9208
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Goldfarb, L.,
Transformation systems are more economical and informative class descriptions than formal grammars,
ICPR92(II:660-664).
IEEE DOI 9208
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Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Two Dimensional Grammars, Syntactic, Graph Grammars .


Last update:Sep 25, 2017 at 16:36:46