In this paper, we propose an e cient method of constructing states in bottom-up tree pattern matching with dynamic programming technique for optimal code generation. This method can be derived from some relations over tree patterns. The proposed scheme is more e cient than other scheme because we can avoid unfruitful tests with the smaller size of the scheme. Furthermore, the relevant analyses ...

This study investigates the extent to which a localist-distributive hybrid formal model of human memory replicates observed behavioral patterns in perception and recognition of appropriately coded language data. Extending previous research that considered for modeled memorization only items with uniform, undefined randomly generated featural specifications, a MINERVA2 simulation was trained to ...

This paper presents a new application of a neural network model in the area of dedicated (handwritten numerals) binary pattern thinning. The thinning method has been tested on 6000 randomly selected images of unconstrained handwritten numerals. The test results show that the method introduces minimal structural deformity and the skeletal shape of the underlying pattern is retained.

A domain-independent, reusable, general text generation system for Chinese is presented in this paper. This system combines the template method and generation technology in a single formalism, which enables the system to maintain both flexibility and efficiency. At the same time, in order to maintain the generator’s independence of application domains, An upper model is designed to interface th...

In this paper, we present a set of wavelet moment invariants, together with a discriminative feature selection method, for the classification of seemingly similar objects with subtle differences. These invariant features are selected automatically based on the discrimination measures defined for the invariant features. Using a minimum-distance classifier, our wavelet moment invariants achieved ...

We demonstrate BIIIG (Business Intelligence with Integrated Instance Graphs), a new system for graph-based data integration and analysis. It aims at improving business analytics compared to traditional OLAP approaches by comprehensively tracking relationships between entities and making them available for analysis. BIIIG supports a largely automatic data integration pipeline for metadata and in...

Data mining and data warehousing are two key technologies which have made significant contributions to the field of knowledge discovery in a variety of domains. More recently, the integrated use of traditional data mining techniques such as clustering and pattern recognition with data warehousing technique of Online Analytical Processing (OLAP) have motivated diverse research areas for leveragi...