Abstract— We describe a general method to transform a non-Markovian sequential decision problem into a supervised learning problem using a K-bestpaths algorithm. We consider an a...
The paper presents a new genetic local search algorithm for multi-objective combinatorial optimization. The goal of the algorithm is to generate in a short time a set of approxima...
A new class of image information-restoration algorithms virtually different from traditional techniques are proposed. In comparison with other approaches, our methods not only use ...
A comprehensive video retrieval system should be able to accommodate and utilize various (complementary) description data in facilitating effective retrieval. In this paper, we ad...
Shermann S.-M. Chan, Qing Li, Yi Wu, Yueting Zhuan...
SEMAMO (SEmantic MArket MOnitoring) is a research project seeking to make use of the increasingly growing information available at Web-based sales and marketing channels for conti...