Librería: Basi6 International, Irving, TX, Estados Unidos de America
EUR 63,14
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
EUR 15,00
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: Très bon. Learning and Geometry: Computational Approaches | Kueker, Smith | Birhaüser, 1996. In-8° cartonné, 210 pages. Couverture propre. Dos solide. Intérieur frais sans soulignage ou annotation. Exemplaire de bibliothèque : petit code barre en pied de 1re de couv., cotation au dos, rares et discrets petits tampons à l'intérieur de l'ouvrage. Très bon état général pour cet ouvrage. [Ba 46+] Pour les expéditions internationales, nous consulter au préalable pour l ajustement des frais de port qui seront peut-être revus à la baisse/ For international shipments, please contact us in advance to adjust shipping costs. |.
EUR 83,38
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. pp. 210.
EUR 88,33
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. pp. 210 1st Edition.
Librería: Basi6 International, Irving, TX, Estados Unidos de America
EUR 92,16
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
EUR 92,41
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
EUR 84,78
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. pp. 210.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 113,55
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
EUR 134,22
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. pp. 210.
EUR 92,27
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
EUR 150,39
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. reprint edition. 210 pages. 9.80x7.10x0.60 inches. In Stock.
EUR 112,77
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The field of computational learning theory arose out of the desire to for mally understand the process of learning. As potential applications to artificial intelligence became apparent, the new field grew rapidly. The learning of geo metric objects became a natural area of study. The possibility of using learning techniques to compensate for unsolvability provided an attraction for individ uals with an immediate need to solve such difficult problems. Researchers at the Center for Night Vision were interested in solving the problem of interpreting data produced by a variety of sensors. Current vision techniques, which have a strong geometric component, can be used to extract features. However, these techniques fall short of useful recognition of the sensed objects. One potential solution is to incorporate learning techniques into the geometric manipulation of sensor data. As a first step toward realizing such a solution, the Systems Research Center at the University of Maryland, in conjunction with the Center for Night Vision, hosted a Workshop on Learning and Geometry in January of 1991. Scholars in both fields came together to learn about each others' field and to look for common ground, with the ultimate goal of providing a new model of learning from geometrical examples that would be useful in computer vision. The papers in the volume are a partial record of that meeting.
EUR 159,44
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: Like New. Like New. book.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 340,43
Cantidad disponible: 10 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 330,90
Cantidad disponible: 10 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 353,74
Cantidad disponible: 10 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 339,45
Cantidad disponible: 10 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 531,37
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 407 pages. 10.25x7.25x0.75 inches. In Stock.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 86,24
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: new. Questo è un articolo print on demand.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 138,07
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND pp. 210.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 147,40
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand pp. 210.
Idioma: Inglés
Publicado por Birkhäuser Boston Sep 2011, 2011
ISBN 10: 1461286468 ISBN 13: 9781461286462
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 139,09
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The field of computational learning theory arose out of the desire to for mally understand the process of learning. As potential applications to artificial intelligence became apparent, the new field grew rapidly. The learning of geo metric objects became a natural area of study. The possibility of using learning techniques to compensate for unsolvability provided an attraction for individ uals with an immediate need to solve such difficult problems. Researchers at the Center for Night Vision were interested in solving the problem of interpreting data produced by a variety of sensors. Current vision techniques, which have a strong geometric component, can be used to extract features. However, these techniques fall short of useful recognition of the sensed objects. One potential solution is to incorporate learning techniques into the geometric manipulation of sensor data. As a first step toward realizing such a solution, the Systems Research Center at the University of Maryland, in conjunction with the Center for Night Vision, hosted a Workshop on Learning and Geometry in January of 1991. Scholars in both fields came together to learn about each others' field and to look for common ground, with the ultimate goal of providing a new model of learning from geometrical examples that would be useful in computer vision. The papers in the volume are a partial record of that meeting. 232 pp. Englisch.
Idioma: Inglés
Publicado por Birkhäuser, Birkhäuser Sep 2011, 2011
ISBN 10: 1461286468 ISBN 13: 9781461286462
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 106,99
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The field of computational learning theory arose out of the desire to for mally understand the process of learning. As potential applications to artificial intelligence became apparent, the new field grew rapidly. The learning of geo metric objects became a natural area of study. The possibility of using learning techniques to compensate for unsolvability provided an attraction for individ uals with an immediate need to solve such difficult problems. Researchers at the Center for Night Vision were interested in solving the problem of interpreting data produced by a variety of sensors. Current vision techniques, which have a strong geometric component, can be used to extract features. However, these techniques fall short of useful recognition of the sensed objects. One potential solution is to incorporate learning techniques into the geometric manipulation of sensor data. As a first step toward realizing such a solution, the Systems Research Center at the University of Maryland, in conjunction with the Center for Night Vision, hosted a Workshop on Learning and Geometry in January of 1991. Scholars in both fields came together to learn about each others' field and to look for common ground, with the ultimate goal of providing a new model of learning from geometrical examples that would be useful in computer vision. The papers in the volume are a partial record of that meeting.Springer Nature c/o IBS, Benzstrasse 21, 48619 Heek 232 pp. Englisch.