This research addresses the problem of image retrieval by exploring the semantic relationships that exist between image annotations. This is done by using linguistic relationships ...
Reinforcement learning in real-world domains suffers from three curses of dimensionality: explosions in state and action spaces, and high stochasticity. We present approaches that ...
In this paper, we propose a learning-based method for video super-resolution. There are two main contributions of the proposed method. First, information from cameras with differe...
Bounded Model Checking (BMC) techniques have been used for formal hardware verification, with the help of tools such as GRASP (Generic search Algorithm for Satisfiability Proble...
Corner measurement is of main concern within the following tasks: camera calibration, image matching, object tracking, recognition and reconstruction. This paper presents a hybrid...