Traditional stereo matching algorithms are limited in their ability to produce accurate results near depth discontinuities, due to partial occlusions and violation of smoothness co...
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
This research gives empirically grounded insights into e-business adoption in conjunction with factors usually considered in SWOT (Strengths, Weaknesses, Opportunities, and Threat...
The prevailing model for digital preservation is that archives should be similar to a “fortress”: a large, protective infrastructure built to defend a relatively small collect...
Small companies in the software product business risk rework and market failure due to shortcomings in integrating a strategic perspective into management of product development. ...