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05663nam a2200505 a 4500 |
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44916 |
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BD-DhAAL |
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20251012143817.0 |
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251009t1988 gw a b 100 0 eng |
| 010 |
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|a 88187141
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| 020 |
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|a 9780387192093
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| 020 |
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|a 9783642834646
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| 020 |
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|a 9783642834622(eBook)
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| 035 |
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|a 2445736
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| 040 |
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|a DLC
|c DLC
|d DLC
|d BD-DhAAL
|
| 050 |
0 |
0 |
|a TK7882.P3
|b N34 1986
|
| 082 |
0 |
0 |
|a 006.4
|2 19
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| 245 |
1 |
0 |
|a Syntactic and structural pattern recognition /
|c edited by Gabriel Ferraté ... [et al.].
|
| 260 |
|
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|a Berlin :
|b Springer-Verlag,
|c c1988.
|
| 300 |
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|a xv, 467 pages :
|b illustrations ;
|c 25 cm
|
| 490 |
1 |
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|a NATO ASI series. Series F, Computer and systems sciences ;
|v vol. 45
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| 500 |
|
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|a NATO Advanced Research Workshop on Syntactic and Structural Pattern Recognition
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| 504 |
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|a Includes bibliographies.
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| 505 |
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|a I. Matching and Parsing I.- A string correction method based on the context-dependent similarity.- An error-correcting parser for a context-free language based on the context-dependent similarity.- Ordered structural matching.- II. Matching and Parsing II.- A parsing algorithm for weighted grammars and substring recognition.- Computing the minimum error distance of graphs in 0 (n3) time with precedence graph grammars.- A unified view on tree metrics.- III. Applications I.- Problems in recognition of drawings.- Application of structural pattern recognition in histopathology.- Applications of multidimensional search to structural feature identification.- IV. Grammatical Inference and Clustering.- Learning from examples in sequences and grammatical inference.- An efficient algorithm for the inference of circuit-free automata.- Voronoi trees and clustering problems.- V. Image Understanding.- Hough-space decomposition for polyhedral scene analysis.- Running efficiently arc consistency.- Smith: an efficient model-based two dimensional shape matching technique.- Training and model generation for a syntactic curve network parser.- VI. Applications II.- Knowledge-based computer recognition of speech.- Computers viewing artists at work.- Face recognition from range data by structural analysis.- Cryptosystems for picture languages.- VII. Hybrid Approaches I.- Hybrid approaches.- An AI-structural approach to edge detection.- Building hierarchies-an algorithmic approach.- VIII. Hybrid Approaches II.- Combining logic based and syntactic techniques: a powerful approach.- A syntactic approach to planning.- IX. Working Sessions.- Working Group A: 2D and 3D Image Understanding.- Working Group B: Waveform and Speech Recognition.- Working Group C: Hybrid Techniques.- Working Group D: Models and Inference.- X. Panel.- Artificial Intelligence Versus Syntactic Techniques: Theoretical and Practical Issues.- XL List of Participants.
|
| 526 |
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|a CSE
|x Annajiat Alim Rasel
Senior Lecturer
Department of Computer Science & Engineering
Course Name and No.: Advanced Syntactic Pattern Recognition (CSE713)
|
| 541 |
|
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|a Hye Trade International
|
| 650 |
|
0 |
|a Pattern recognition systems.
|9 59559
|
| 650 |
|
0 |
|a Optical data processing.
|9 59567
|
| 650 |
|
0 |
|a Machine learning.
|
| 650 |
|
0 |
|a Computer science.
|
| 650 |
|
0 |
|a Probability and Statistics in Computer Science.
|9 59568
|
| 700 |
1 |
|
|a Ferraté, Gabriel A.,
|d 1932-
|9 59560
|
| 700 |
1 |
|
|a Pavlidis, Theo.
|9 59561
|
| 700 |
1 |
|
|a Sanfeliu, Alberto.
|9 59562
|
| 700 |
1 |
|
|a Bunke, Horst.
|9 59563
|
| 711 |
|
|
|a NATO Advanced Research Workshop on Syntactic and Structural Pattern Recognition
|d (1986 :
|c Barcelona, Spain and Sitges, Spain)
|9 59558
|
| 830 |
|
0 |
|a NATO ASI series.
|n Series F,
|p Computer and systems sciences ;
|v no. 45.
|9 59565
|
| 852 |
|
|
|a Ayesha Abed Library
|c General Stacks
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