In this paper, we present a new cost model for nearest neighbor search in high-dimensional data space. We first analyze different nearest neighbor algorithms, present a generaliza...
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
A document image analysis toolbox, including a collection of data structures and algorithms to suppbrt a variety of applications, is described in this paper. An experimental envir...
Jisheng Liang, Richard Rogers, Robert M. Haralick,...
Background: Extensive and automated data integration in bioinformatics facilitates the construction of large, complex biological networks. However, the challenge lies in the inter...
With the tremendous growth of system memories, memoryresident databases are increasingly becoming important in various domains. Newer memories provide a structured way of storing ...
Jayaprakash Pisharath, Alok N. Choudhary, Mahmut T...