A two-stage cascaded classification approach with an optimal candidate selection scheme is proposed to recognize places using images taken by camera phones. An optimal acceptance ...
The main purpose of this paper is to illustrate the characteristics of ontology-based authoring tools for Computer Based Training (CBT) systems. It has two major advantages as fol...
Creating a robust image classification system depends on having enough data with which one can adequately train and validate the model. If there is not enough available data, this...
We describe our early experience building and optimizing GOOG-411, a fully automated, voice-enabled, business finder. We show how taking an iterative approach to system developme...
Most state-of-the-art algorithms for filament detection in 3?D image-stacks rely on computing the Hessian matrix around individual pixels and labeling these pixels according to its...