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» The Dark Side of Object Learning: Learning Objects
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AAAI
2012
13 years 6 months ago
Relative Attributes for Enhanced Human-Machine Communication
We propose to model relative attributes1 that capture the relationships between images and objects in terms of human-nameable visual properties. For example, the models can captur...
Devi Parikh, Adriana Kovashka, Amar Parkash, Krist...
ICMCS
2007
IEEE
145views Multimedia» more  ICMCS 2007»
15 years 10 months ago
An Interactive 3D Environment for Computer Based Education
Individual learning capabilities can vary from gifted to exceptionally slow; some students may take longer to understand a concept and may not be able to achieve the expected stan...
Gang Wu, Irene Cheng
IJCNN
2007
IEEE
15 years 10 months ago
Multi-Stage Optimal Component Analysis
— Optimal component analysis (OCA) uses a stochastic gradient optimization process to find optimal representations for general criteria and shows good performance in object reco...
Yiming Wu, Xiuwen Liu, Washington Mio
IROS
2006
IEEE
177views Robotics» more  IROS 2006»
15 years 10 months ago
Robust Mapless Outdoor Vision-Based Navigation
Abstract— This article presents an efficient and mature visionbased navigation algorithm based on a sensory-motor learning. Neither Cartesian nor topological map is required, bu...
Christophe Giovannangeli, Philippe Gaussier, Gael ...
ICRA
2005
IEEE
128views Robotics» more  ICRA 2005»
15 years 10 months ago
Behavior-Grounded Representation of Tool Affordances
Abstract— This paper introduces a novel approach to representing and learning tool affordances by a robot. The tool representation described here uses a behavior-based approach t...
Alexander Stoytchev