Add to ORKGThis paper presents a system for learning object-specific recognition strategies from training images and libraries of image understanding routines. The motivatio
Current computer vision systems whose basic methodology is open-loop or fi\u27/tertype typically use...
This thesis develops a trainable object-recognition algorithm. This algorithm represents objects usi...
We propose an active vision system for object acquisition. The core of our approach is a reinforceme...
Abstract: An object learning system for image understanding is proposed in this paper. The knowledge...
This article is devoted to the study of “transfer learning” and the development of an object recogni...
This article is devoted to the study of “transfer learning” and the development of an object recogni...
This paper presents a robotic vision system that can be taught to recognize novel objects in a semi-...
W epropose an architectural model for a responsive vi-sion system based on techniques of reinforceme...
The exploration and learning of new objects is an essential capability of a cognitive robot. In this...
concept is proposed that uses active information gathering for recognizing objects on images. This n...
Abstract. Statistical machine learning has revolutionized computer vision. Sys-tems trained on large...
Most artificial intelligence systems today work on simple problems and artificial domains because th...
The present invention relates to the technical field of object recognition. A training method for ob...
This article reviews the available methods forautomated identification ofobjectsin digital images. T...
The paper describes an object recognition system, based on the co-operation of several visual module...
Current computer vision systems whose basic methodology is open-loop or fi\u27/tertype typically use...
This thesis develops a trainable object-recognition algorithm. This algorithm represents objects usi...
We propose an active vision system for object acquisition. The core of our approach is a reinforceme...
Abstract: An object learning system for image understanding is proposed in this paper. The knowledge...
This article is devoted to the study of “transfer learning” and the development of an object recogni...
This article is devoted to the study of “transfer learning” and the development of an object recogni...
This paper presents a robotic vision system that can be taught to recognize novel objects in a semi-...
W epropose an architectural model for a responsive vi-sion system based on techniques of reinforceme...
The exploration and learning of new objects is an essential capability of a cognitive robot. In this...
concept is proposed that uses active information gathering for recognizing objects on images. This n...
Abstract. Statistical machine learning has revolutionized computer vision. Sys-tems trained on large...
Most artificial intelligence systems today work on simple problems and artificial domains because th...
The present invention relates to the technical field of object recognition. A training method for ob...
This article reviews the available methods forautomated identification ofobjectsin digital images. T...
The paper describes an object recognition system, based on the co-operation of several visual module...
Current computer vision systems whose basic methodology is open-loop or fi\u27/tertype typically use...
This thesis develops a trainable object-recognition algorithm. This algorithm represents objects usi...
We propose an active vision system for object acquisition. The core of our approach is a reinforceme...