Computer vision has been studied for more than 40 years. Due to the increasingly diverse and rapidly developed topics in vision and the related fields (e.g., machine learning, sign...
- E-services will change the future of business as well as private relationships. The rearrangement of value chains, new competitive arenas and the growing necessity and interest i...
The human ability to learn difficult object categories from just a few views is often explained by an extensive use of knowledge from related classes. In this work we study the use...
This paper introduces the RL-TOPs architecture for robot learning, a hybrid system combining teleo-reactive planning and reinforcement learning techniques. The aim of this system ...
Abstract. We propose and analyze a new vantage point for the learning of mixtures of Gaussians: namely, the PAC-style model of learning probability distributions introduced by Kear...