Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	September 2012
Genre:	EDV / Informatik
	Algorithm Analysis and Problem Complexity / Algorithms / Algorithms & data structures / Application software / Artificial Intelligence / Automated Pattern Recognition / C / computer science / Data Mining / Data Mining and Knowledge Discovery / Database Management / database programming / Databases / Expert systems / knowledge-based systems / Information Retrieval / Information Systems Applications (incl. Internet) / Information Systems Applications (incl.Internet) / Internet searching / pattern recognition / Theory of Computation mehr...
ISBN:	9783642341656
EAN-Code:	9783642341656
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	Image Processing, Computer Vision, Pattern Recognition, and Graphics #7626 - Lecture Notes in Computer Science
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	1169 gr
Seiten:	755
Illustration:	XVIII, 755 p. 236 illus., schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This volume constitutes the refereed proceedings of the Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2012) and Statistical Techniques in Pattern Recognition (SPR 2012), held in Hiroshima, Japan, in November 2012 as a satellite event of the 21st International Conference on Pattern Recognition, ICPR 2012. The 80 revised full papers presented together with 1 invited paper and the Pierre Devijver award lecture were carefully reviewed and selected from more than 120 initial submissions. The papers are organized in topical sections on structural, syntactical, and statistical pattern recognition, graph and tree methods, randomized methods and image analysis, kernel methods in structural and syntactical pattern recognition, applications of structural and syntactical pattern recognition, clustering, learning, kernel methods in statistical pattern recognition, kernel methods in statistical pattern recognition, as well as applications of structural,syntactical, and statistical methods.