Imitation-based learning is a general mechanism for rapid acquisition of new behaviors in autonomous agents and robots. In this paper, we propose a new approach to learning by imit...
Pseudo-relevance feedback has proven to be an effective strategy for improving retrieval accuracy in all retrieval models. However the performance of existing pseudo feedback meth...
Over the last few years, the web is establishing increased importance in society with the rise of social networking sites and the semantic web, facilitated and driven by the popul...
This article presents a new adaptive framework for locally parallel texture modeling. Oscillating patterns are modeled with functionals that constrain the local Fourier decompositi...
We propose a new approach to easily creating 3 0 geometric models. A technique called interactive evolutionary computation (IEC) is introduced to accelerate user’s invention and...