This paper presents a model of a network of integrate-and-fire neurons with time delay weights, capable of invariant spatio-temporal pattern recognition. Spatio-temporal patterns a...
Mykola Lysetskiy, Andrzej Lozowski, Jacek M. Zurad...
— This paper describes a Markov random field (MRF) model with weighting parameters optimized by conditional random field (CRF) for on-line recognition of handwritten Japanese cha...
This paper presents a comprehensive timing model for behavioral-level specifications and algorithms for timing analysis in high-level synthesis. It is based on a timing network wh...
This paper describes a framework of real-time simulation for modeling heavy construction operations. Compared with the traditional offline simulation that uses stationary inputs, ...
The precise alignment of a 3D model to 2D sensor images to recover the pose of an object in a scene is an important topic in computer vision. In this work, we outline a registrati...