Weakly supervised methods for learning actions and objects

Metadata Label Value
Author(s): Prest, Alessandro
Publisher: ETH
Citation:

Prest, Alessandro. Weakly supervised methods for learning actions and objects. ETH (2012). http://dx.doi.org/10.3929/ethz-a-007571833

Document Type: Doctoral and Habilitation Theses  
Documents: Abstract (64.79KB), Fulltext (25.80MB)

Detailed Information

Metadata Description
Title Weakly supervised methods for learning actions and objects
Author(s) Prest, Alessandro
Publication Place Zürich
Publisher ETH
Publication Date 2012
Notes Diss., Eidgenössische Technische Hochschule ETH Zürich, Nr. 20612, 2012
Language English
DOI http://dx.doi.org/10.3929/ethz-a-007571833
Subject(s) Applied Computer Science, Artificial Intelligence
Robotics
Keyword(s) COMPUTER VISION
MOTION PERCEPTION
LEARNING ALGORITHMS
MACHINE LEARNING
REINFORCEMENT LEARNING
OBJECT RECOGNITION
Organisational Unit Department of Information Technology and Electrical Engineering
Online Publication Date 2012
Description File Name MIME Type Size
Abstract   eth-6186-01.pdf application/pdf 64.79KB
Fulltext   eth-6186-02.pdf application/pdf 25.80MB
Abstract Views and Downloads
Views 20  abstracts
Downloads 29  downloads

Abstract Views and Downloads by Country
Views abstracts
Downloads downloads
Singapore Views abstracts
Downloads downloads
United States Views abstracts
Downloads downloads
China Views abstracts
Downloads downloads
Iran, Islamic Republic of Views abstracts
Downloads downloads
Switzerland Views abstracts
Downloads downloads
Australia Views abstracts
Downloads downloads
Austria Views abstracts
Downloads downloads
France Views abstracts
Downloads downloads
Spain Views abstracts
Downloads downloads
Turkey Views abstracts
Downloads downloads
United Kingdom Views abstracts
Downloads downloads


E-Collection record created: Sat, 17 Nov 2012, 05:22:56 CET