Recently, many global stereo methods have achieved good results by modeling a disparity surface as a Markov random field (MRF) and by solving an optimization problem with various ...
Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...
The class of well-behaved evaluation functions simplifies and makes efficient the handling of numerical attributes; for them it suffices to concentrate on the boundary points in...
The study of specific hardware circuits for the evaluation of floating-point elementary functions was once an active research area, until it was realized that these functions were...
Functional logic languages combine the operational principles of the most important declarative programming paradigms, namely functional and logic programming. Inductively sequent...