Weakly supervised methods learning de prest alessandro (5 resultados)
- Tapa blanda
Librería: preigu, Osnabrück, Alemaniapreigu
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 51,00
Envío por EUR 70,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 5 disponibles
Taschenbuch. Condición: Neu. Weakly supervised methods for learning actions and objects | Reducing human intervention in learning visual concepts for Artificial Intelligence | Alessandro Prest | Taschenbuch | 128 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659327544 | Verantwortliche Person für die EU: preig…u GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
- Tapa blanda
- Impresión bajo demanda
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 59,00
Envío por EUR 23,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The past decade will be remembered as one of maturity for Artificial Intelligence (AI). Successful applications such as Google Goggles, Siri, IBM Watson have positively impacted people s everyday life. These systems are able to inte…rpret in real-time highly complex natural signals, in the form of text, audio or video data: a task thought the exclusive domain of human intelligence before the two-thousands. This book discusses methods of computer vision, a branch of AI where the input for the system is represented by images and videos depicting visual scenes. Most computer vision tasks have the objective of recognizing visual concepts such as the presence of a particular object or the occurrence of a specific event in the input data. These systems learn visual concepts through examples (i.e. images) which have been manually annotated by humans. While this paradigm allowed the field to tremendously progress in the last decade, it has now become one of its major bottlenecks. This work tap into the wealth of visual data available on the net and presents methods able to exploit this information to learn visual concepts without the need of major human annotation effort. 128 pp. Englisch.
- Tapa blanda
- Impresión bajo demanda
Librería: moluna, Greven, Alemaniamoluna
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 48,50
Envío por EUR 48,99Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Prest AlessandroAlessandro Prest is co-founder of several ventures, where he helps delivering Artificial Intelligence solutions to different markets.In the past he has covered several research positions… in different institutions. He .
- Tapa blanda
- Impresión bajo demanda
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 59,00
Envío por EUR 60,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The past decade will be remembered as one of maturity for Artificial Intelligence (AI). Successful applications such as Google Goggles, Siri, IBM Watson have positively impacted people's everyday life. These systems are able to interpre…t in real-time highly complex natural signals, in the form of text, audio or video data: a task thought the exclusive domain of human intelligence before the two-thousands. This book discusses methods of computer vision, a branch of AI where the input for the system is represented by images and videos depicting visual scenes. Most computer vision tasks have the objective of recognizing visual concepts such as the presence of a particular object or the occurrence of a specific event in the input data. These systems learn visual concepts through examples (i.e. images) which have been manually annotated by humans. While this paradigm allowed the field to tremendously progress in the last decade, it has now become one of its major bottlenecks. This work tap into the wealth of visual data available on the net and presents methods able to exploit this information to learn visual concepts without the need of major human annotation effort.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 128 pp. Englisch.
- Tapa blanda
- Impresión bajo demanda
Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 59,00
Envío por EUR 61,05Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The past decade will be remembered as one of maturity for Artificial Intelligence (AI). Successful applications such as Google Goggles, Siri, IBM Watson have positively impacted people s everyday life. These systems are able to interpret… in real-time highly complex natural signals, in the form of text, audio or video data: a task thought the exclusive domain of human intelligence before the two-thousands. This book discusses methods of computer vision, a branch of AI where the input for the system is represented by images and videos depicting visual scenes. Most computer vision tasks have the objective of recognizing visual concepts such as the presence of a particular object or the occurrence of a specific event in the input data. These systems learn visual concepts through examples (i.e. images) which have been manually annotated by humans. While this paradigm allowed the field to tremendously progress in the last decade, it has now become one of its major bottlenecks. This work tap into the wealth of visual data available on the net and presents methods able to exploit this information to learn visual concepts without the need of major human annotation effort.
