This paper introduces a content-based information retrieval method inspired by the ideas of spreading activation models. In response to a given query, the proposed approach comput...
We present an adaptive distributed query-sampling framework that is quality-conscious for extracting high-quality text database samples. The framework divides the query-based samp...
Fractal image compression is a relatively recent image compression method which exploits similarities in different parts of the image. The basic idea is to represent an image by f...
Huaqing Wang, Meiqing Wang, Tom Hintz, Xiangjian H...
We introduce an inheritance property and related table lookup structures applicable to simplified evaluation of the modular operations “multiplicative inverse”, “discrete l...
David W. Matula, Alex Fit-Florea, Mitchell Aaron T...
We address the problem of learning object class models and object segmentations from unannotated images. We introduce LOCUS (Learning Object Classes with Unsupervised Segmentation...