Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
Tatiana Tommasi, Francesco Orabona, Barbara Caputo
Block-based random image sampling is coupled with a projectiondriven compressed-sensing recovery that encourages sparsity in the domain of directional transforms simultaneously wi...
—Spectrum awareness is a crucial first step of a cognitive radio (CR). This provides information necessary for the CR to adapt to the radio frequency environment, and involves re...
Qiyun Zhang, Octavia A. Dobre, Sreeraman Rajan, Ro...
Abstract—Decisions regarding the mapping of software components to hardware nodes affect the quality of the resulting system. Making these decisions is hard when considering the ...
Aldeida Aleti, Lars Grunske, Indika Meedeniya, Ire...
— Recently there has been increasing research on the development of autonomous flying vehicles. Whereas most of the proposed approaches are suitable for outdoor operation, only ...
Slawomir Grzonka, Giorgio Grisetti, Wolfram Burgar...