This paper gives a widely applicable technique for solving many of the parameter estimation problems encountered in geometric computer vision. A commonly used approach is to minim...
We introduce and analyze a natural algorithm for multi-venue exploration from censored data, which is motivated by the Dark Pool Problem of modern quantitative finance. We prove t...
Kuzman Ganchev, Yuriy Nevmyvaka, Michael Kearns, J...
In this paper we address the problem of producing an enlarged picture from a given digital image (zooming). We propose a method that tries to take into account information about d...
Sebastiano Battiato, Giovanni Gallo, Filippo Stanc...
Dimensionality reduction is an important problem in pattern recognition. There is a tendency of using more and more features to improve the performance of classifiers. However, not...
In WSN-based surveillance systems power conservation is an important issue but one must also ensure that the application's objectives are met. In this paper, we jointly addres...