This paper addresses the problem of learning similaritypreserving binary codes for efficient retrieval in large-scale image collections. We propose a simple and efficient altern...
Quantizers for probabilistic sources are usually optimized for mean-squared error. In many applications, maintaining low relative error is a more suitable objective. This measure ...
We study the expected topological properties of ˇCech and Vietoris-Rips complexes built on random points in Rd . We find higher dimensional analogues of known results for connect...
Abstract. Software tools for working with argument generally exist as large systems that wrap their entire feature set in the application as a whole. This approach, while perfectly...
Mark Snaith, Joseph Devereux, John Lawrence, Chris...
Abstract—This work addresses the problem of energy allocation over source compression and transmission for a single energy-harvesting sensor. An optimal class of policies is iden...
Paolo Castiglione, Osvaldo Simeone, Elza Erkip, Th...