Computer Vision

Applications of Visual AI and Image Processing
Buch | Hardcover
XII, 358 Seiten
2023
De Gruyter (Verlag)
978-3-11-075667-8 (ISBN)
164,95 inkl. MwSt
THE SERIES: FRONTIERS IN COMPUTATIONAL INTELLIGENCE The series Frontiers In Computational Intelligence is envisioned to provide comprehensive coverage and understanding of cutting edge research in computational intelligence. It intends to augment the scholarly discourse on all topics relating to the advances in artifi cial life and machine learning in the form of metaheuristics, approximate reasoning, and robotics. Latest research findings are coupled with applications to varied domains of engineering and computer sciences. This field is steadily growing especially with the advent of novel machine learning algorithms being applied to different domains of engineering and technology. The series brings together leading researchers that intend to continue to advance the field and create a broad knowledge about the most recent research. Series Editor Dr. Siddhartha Bhattacharyya, CHRIST (Deemed to be University), Bangalore, India Editorial Advisory Board Dr. Elizabeth Behrman, Wichita State University, Kansas, USA Dr. Goran Klepac Dr. Leo Mrsic, Algebra University College, Croatia Dr. Aboul Ella Hassanien, Cairo University, Egypt Dr. Jan Platos, VSB-Technical University of Ostrava, Czech Republic Dr. Xiao-Zhi Gao, University of Eastern Finland, Finland Dr. Wellington Pinheiro dos Santos, Federal University of Pernambuco, Brazil

lt;p>P.Shukla, London Metropolitan U, UK; R.Aluvalu, U.Maheswari, Vardaham College Hyderabad, India; S.Gite, Symbiosis Inst. Pune, India.

Erscheinungsdatum
Reihe/Serie De Gruyter Frontiers in Computational Intelligence ; 15
Zusatzinfo 58 b/w and 118 col. ill., 26 b/w tbl.
Verlagsort Berlin/Boston
Sprache englisch
Maße 170 x 240 mm
Gewicht 739 g
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Algorithmus • computer vision • Image Processing • Maschinelles Lernen
ISBN-10 3-11-075667-6 / 3110756676
ISBN-13 978-3-11-075667-8 / 9783110756678
Zustand Neuware
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