ISBN: 9780195098709

Some of the fundamental constraints of automated machine vision have been the inability to automatically adapt parameter settings or utilize previous adaptations in changing environments.… Mehr…

Some of the fundamental constraints of automated machine vision have been the inability to automatically adapt parameter settings or utilize previous adaptations in changing environments. Symbolic Visual Learning presents research which adds visual learning capabilities to computer visionsystems. Using this state-of-the-art recognition technology, the outcome is different adaptive recognition systems that can measure their own performance, learn from their experience and outperform conventional static designs. Written as a companion volume to Early Visual Learning (edited by S. Nayar and T. Poggio), this book is intended for researchers and students in machine vision and machine learning. | Symbolic Visual Learning by Katsuchi Ikeuchi Hardcover | Indigo Chapters Electronics > Computers P10116, Katsuchi Ikeuchi<

1997, ISBN: 9780195098709

Buch, Hardcover, Some of the fundamental constraints of automated machine vision have been the inability automatically to adapt parameter settings or utilize previous adaptations in chang… Mehr…

Buch, Hardcover, Some of the fundamental constraints of automated machine vision have been the inability automatically to adapt parameter settings or utilize previous adaptations in changing environments. Symbolic Visual Learning presents research which adds visual learning capabilities to computer vision systems. Using this state-of-the-art recognition technology, the outcome is different adaptive recognition systems that can measure their own performance, learn from their experience and outperform conventional static designs. Written as a companion volume to Early Visual Learning (edited by S. Nayar and T. Poggio), this book is intended for researchers and students in machine vision and machine learning. [PU: Oxford University Press Inc], Seiten: 364, Oxford University Press Inc, 1997<

1997, ISBN: 9780195098709

Editor: Ikeuchi, Katsushi, Editor: Velosa, Manuela, Editor: Veloso, Manuela, Oxford University Press, Hardcover, 364 Seiten, Publiziert: 1997-05-01T00:00:01Z, Produktgruppe: Book, Herstel… Mehr…

Editor: Ikeuchi, Katsushi, Editor: Velosa, Manuela, Editor: Veloso, Manuela, Oxford University Press, Hardcover, 364 Seiten, Publiziert: 1997-05-01T00:00:01Z, Produktgruppe: Book, Hersteller-Nr.: 150 illustrations, bibliography, 0.82 kg, Digital Art, Arts & Humanities, Undergraduate & Postgraduate, Special Features, Books, Books Global Store, AI & Machine Learning, Computer Science, Computing & Internet, Subjects, Reference, Access, Microsoft Windows, Algorithms, Programming, Higher Education, Education, Mathematics, Science, Nature & Maths, Oxford University Press, 1997<

1997, ISBN: 9780195098709

[ED: Gebunden], [PU: OXFORD UNIV PR], Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This work presents research which adds visual learni… Mehr…

[ED: Gebunden], [PU: OXFORD UNIV PR], Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This work presents research which adds visual learning capabilities to computer vision systems. Using this recognition technology, the outcome is different adap, DE, [SC: 0.00], Neuware, gewerbliches Angebot, Hardcover, 368, [GW: 844g], New, Banküberweisung, PayPal, [CT: Naturwissenschaft/Mathematik / Sonstiges - Naturwissenschaften]<

ISBN: 9780195098709

Oxford University Press, 1997-05-01. Hardcover. New. New. In shrink wrap. Looks like an interesting title!, Oxford University Press, 1997-05-01, 6