We develop a set of new motion estimation (ME) algorithms based mainly on Unsymmetric-Cross Multi-Hexagon-Grid Search (UMH). The original algorithms are improved by applying the S...
We study a dissimilarity measure between shapes, expressed by the natural pseudodistance between size pairs, where a shape is viewed as a topological space endowed with a real-val...
The importance of testing approaches that exploit error tolerance to improve yield has previously been established. Error rate, defined as the percentage of vectors for which the...
We introduce a new state discrimination problem in which we are given additional information about the state after the measurement, or more generally, after a quantum memory bound ...
Manuel A. Ballester, Stephanie Wehner, Andreas Win...
We study the learnability of sets in Rn under the Gaussian distribution, taking Gaussian surface area as the “complexity measure” of the sets being learned. Let CS denote the ...
Adam R. Klivans, Ryan O'Donnell, Rocco A. Servedio