We present a method and its implementation, the system GAP, we developed for the automatic generation of filtering algorithms. The evaluation of left-hand sides of rules relies on the matching of condition elements with Working Memory elements. The filtering is the inference engine phase that performs this matching. Our automatic generation method is based on set differentiation which we have d...

Discovery of loose data linkages between data services can help on-demand Web data integration in accordance with situation changes. However, we met the uncertainty challenge when discovering such data linkages with current automatic matchers. To handle the uncertainty problem, this paper develops a synthesized matching algorithm to combine the matching results from multiple automatic matchers ...

We report on research on matching names in different scripts across languages. We explore two trainable approaches based on comparing pronunciations. The first, a cross-lingual approach, uses an automatic name-matching program that exploits rules based on phonological comparisons of the two languages carried out by humans. The second, monolingual approach, relies only on automatic comparison of...

This paper presents an automatic motion trajectory based surveillance video retrieval system with an efficient and flexible trajectory matching technique based on turning function. Raw trajectories of moving objects are extracted by automatic tracking and described by MPEG-7 motion trajectory descriptor with first order interpolating function. Efficient matching is performed for translation inv...

In this paper, we exploit the analogy between protein sequence alignment and image pair correspondence to design a bioinformatics-inspired framework for stereo matching based on dynamic programming. This approach also led to the creation of a meaningfulness graph, which helps to predict matching validity according to image overlap and pixel similarity. Finally, we propose an automatic procedure...