Sparse representation for machine learning has been exploited in past years. Several sparse representation based classification algorithms have been developed for some application...
"The Discrete Fourier Transform (DFT) can be understood as a numerical approximation to the Fourier transform. However, the DFT has its own exact Fourier theory, which is the ...
Randomness extractors are efficient algorithms which convert weak random sources into nearly perfect ones. While such purification of randomness was the original motivation for c...
Camera motion filtering is important in many applications, such as camera-based visual control interface on a mobile device. In this paper, we first present a robust global motion...
—In this paper we present Moppy — an application for mobile object position prediction. Moppy is an easy to use, intuitive application with interactive graphical user interface...