Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
Robust local image features have been used successfully in robot localization and camera pose estimation; region tracking using affine warps is considered state of the art also for...
The allowable computational complexity of video encoding is limited in a power-constrained system. Different video frames are associated with different motions and contexts, and s...
Functional testing of a query language is a challenging task in practice. In order to reveal errors in the query processing functionality, it is necessary to verify the actual res...
Carsten Binnig, Donald Kossmann, Eric Lo, Angel Sa...
The problem of privacy-preserving data mining has been studied extensively in recent years because of the increased amount of personal information which is available to corporation...