We present a system that enables flexible and efficient phrase matching in XML documents. Since XML allows structured and unstructured information to be interleaved, phrase matchi...
This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang
In this paper, a new mapping model, called n-INode, is presented and it is used to support dynamic updating of XML data flexibly. One key feature of n-INode is the use of multi-di...
In this paper, a high-speed document image classification algorithm is presented. The algorithm is based on the bottom-up strategy which can successfully segment and classify any ...
Information Retrieval (IR) systems are built with different goals in mind. Some IR systems target high precision that is to have more relevant documents on the first page of their...