We introduce a new theoretical derivation, evaluation methods, and extensive empirical analysis for an automatic query expansion framework in which model estimation is cast as a r...
In this paper, we propose a general framework for fusing bottom-up segmentation with top-down object behavior classification over an image sequence. This approach is beneficial fo...
This paper is committed to explore object-oriented methods for the classification of Quickbird images, aiming to support future urban population estimates. The study area concerns...
Existing Full-wave Model Order Reduction (FMOR) approaches are based on Expanded Taylor Series Approximations (ETAS) of the oscillatory full-wave system matrix. The accuracy of su...
Ever-growing complexity is forcing design to move above RTL. For example, golden functional models are being written as clearly as possible in software and not optimized or intend...