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118
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ICVS
2009
Springer
15 years 9 months ago
Learning Objects and Grasp Affordances through Autonomous Exploration
Abstract. We describe a system for autonomous learning of visual object representations and their grasp affordances on a robot-vision system. It segments objects by grasping and mo...
Dirk Kraft, Renaud Detry, Nicolas Pugeault, Emre B...
134
Voted
AIME
2003
Springer
15 years 7 months ago
Learning-Free Text Categorization
In this paper, we report on the fusion of simple retrieval strategies with thesaural resources in order to perform large-scale text categorization tasks. Unlike most related system...
Patrick Ruch, Robert H. Baud, Antoine Geissbü...
142
Voted
CA
1999
IEEE
15 years 7 months ago
Fast Synthetic Vision, Memory, and Learning Models for Virtual Humans
This paper presents a simple and efficient method of modeling synthetic vision, memory, and learning for autonomous animated characters in real-time virtual environments. The mode...
James J. Kuffner Jr., Jean-Claude Latombe
CVPR
2012
IEEE
13 years 5 months ago
Top-down visual saliency via joint CRF and dictionary learning
Top-down visual saliency facilities object localization by providing a discriminative representation of target objects and a probability map for reducing the search space. In this...
Jimei Yang, Ming-Hsuan Yang
130
Voted
NIPS
2003
15 years 4 months ago
Reasoning about Time and Knowledge in Neural Symbolic Learning Systems
We show that temporal logic and combinations of temporal logics and modal logics of knowledge can be effectively represented in artificial neural networks. We present a Translat...
Artur S. d'Avila Garcez, Luís C. Lamb