000			03765nam a2200445 a 4500
001			44916
003			BD-DhAAL
005			20251012143817.0
008			251009t1988 gw a b 100 0 eng
010			_a 88187141
020			_a9780387192093
020			_a9783642834646
020			_a9783642834622(eBook)
035			_a2445736
040			_aDLC _cDLC _dDLC _dBD-DhAAL
050	0	0	_aTK7882.P3 _bN34 1986
082	0	0	_a006.4 _219
245	1	0	_aSyntactic and structural pattern recognition / _cedited by Gabriel Ferraté ... [et al.].
260			_aBerlin : _bSpringer-Verlag, _cc1988.
300			_axv, 467 pages : _billustrations ; _c25 cm
490	1		_aNATO ASI series. Series F, Computer and systems sciences ; _vvol. 45
500			_aNATO Advanced Research Workshop on Syntactic and Structural Pattern Recognition
504			_aIncludes bibliographies.
505			_aI. 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			_aCSE
650		0	_aPattern recognition systems. _959559
650		0	_aOptical data processing. _959567
650		0	_aMachine learning.
650		0	_aComputer science.
650		0	_aProbability and Statistics in Computer Science. _959568
700	1		_aFerraté, Gabriel A., _d1932- _959560
700	1		_aPavlidis, Theo. _959561
700	1		_aSanfeliu, Alberto. _959562
700	1		_aBunke, Horst. _959563
711			_aNATO Advanced Research Workshop on Syntactic and Structural Pattern Recognition _d(1986 : _cBarcelona, Spain and Sitges, Spain) _959558
830		0	_aNATO ASI series. _nSeries F, _pComputer and systems sciences ; _vno. 45. _959565
852			_aAyesha Abed Library _cGeneral Stacks
942			_2ddc _cBK
999			_c47445 _d47445