We report on our experience from design and implementation of a powerful map application for managing, querying and visualizing evolving locations of moving objects. Instead of bu...
Kostas Patroumpas, Evi Kefallinou, Timos K. Sellis
Abstract. We address the problem of entropy estimation for highdimensional finite-accuracy data. Our main application is evaluating high-order mutual information image similarity c...
Locally adaptive classifiers are usually superior to the use of a single global classifier. However, there are two major problems in designing locally adaptive classifiers. First,...
Juan Dai, Shuicheng Yan, Xiaoou Tang, James T. Kwo...
Abstract. The nearest neighbor and the perceptron algorithms are intuitively motivated by the aims to exploit the “cluster” and “linear separation” structure of the data to...
We propose script-specific post processing schemes for improving the recognition rate of online Tamil characters. At the first level, features derived at each sample point of the ...