Combining different and complementary object models promises to increase the robustness and generality of today’s computer vision algorithms. This paper introduces a new method ...
Existing Information Extraction systems tend to focus on a tight window of context surrounding the desired information to be extracted. This leads to a number of shortcomings in t...
—In the past, we proposed a genetic-fuzzy data-mining algorithm for extracting both association rules and membership functions from quantitative transactions under a single minim...
Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng, C...
Abstract. In this paper we present a novel approach to combining multiple kernels where the kernels are computed from different information channels. In contrast to traditional me...
Fei Yan, Krystian Mikolajczyk, Josef Kittler, Muha...
Abstract. In data mining, hybrid intelligent systems present a synergistic combination of multiple approaches to develop the next generation of intelligent systems. Our paper prese...