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We propose a new sparse coding technique based on the power mean of phase-invariant cosine distances. Our approach is a generalization of sparse filtering and K-hyperlines clustering. It offers a better sparsity enforcer than the L1/L2 norm ratio that is typically used in sparse filtering. At the same time, the proposed approach scales better than the clustering counterparts for high-dimensional input...
This paper addresses the hydrothermal electricity producer self-scheduling problem in day-ahead energy and reserves markets. A 0/1 mixed integer linear formulation of the producer self-scheduling problem is presented, which allows a realistic modeling of the unit's operating phases (synchronization, soak, dispatchable, desynchronization). Prohibited operating zones and daily hydro energy production...
We investigate the problem of finding minimum-distortion policies for streaming delay-sensitive but distortion-tolerant data. We consider cross-layer approaches which exploit the coupling between presentation and transport layers. We make the natural assumption that the distortion function is convex and decreasing. We focus on a single source-destination pair and analytically find the optimum transmission...
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