Recent advances in large-capacity, low-cost storage devices have led to active research in design of large-scale storage systems built from commodity devices for supercomputing ap...
Qin Xin, Ethan L. Miller, Thomas J. E. Schwarz, Da...
Instead of the conventional background and foreground definition, we propose a novel method that decomposes a scene into time-varying background and foreground intrinsic images. T...
To improve search efficiency and reduce unnecessary traffic in Peerto-Peer (P2P) networks, this paper proposes a trust-based probabilistic search algorithm, called preferential wa...
We describe a method for removing quantization artifacts (de-quantizing) in the image domain, by enforcing a high degree of sparseness in its representation with an overcomplete or...
Abstract. This paper proposes a new support vector machine (SVM) with a robust loss function for data mining. Its dual optimal formation is also constructed. A gradient based algor...