We present a Semantic Optimized Service Discovery (SemOSD) approach capable of handling Web service search requests on a fine-grained level of detail where we augment semantic ser...
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
Taking multiple exposures is a well-established approach both for capturing high dynamic range (HDR) scenes and for noise reduction. But what is the optimal set of photos to captur...
Samuel W. Hasinoff, Frédo Durand, and William T. ...
— Hybrid Vehicle fuel economy performance is highly sensitive to the energy management strategy used to select among multiple energy sources. Optimal solutions are easy to specif...
Daniel F. Opila, Deepak Aswani, Ryan McGee, Jeffre...
— In this paper, we consider single user throughput optimization problem for continuous flat fading channels of multiple-input multiple-output (MIMO) system. It is known that ch...