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...
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...
— Optimal component analysis (OCA) uses a stochastic gradient optimization process to find optimal representations for general criteria and shows good performance in object reco...
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 ...
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...