We consider the problem of classification of a pattern from multiple compressed observations that are collected in a sensor network. In particular, we exploit the properties of r...
In the past few years, some nonlinear dimensionality reduction (NLDR) or nonlinear manifold learning methods have aroused a great deal of interest in the machine learning communit...
Testing embedded cores is a challenge because access to core I/Os is limited. The user-defined logic (ZJDL) surrounding the core may restrict the set of test vectors that can be a...
Prior research on schedulability bounds focused primarily on bounding utilization as a means to meet deadline constraints. Non-trivial bounds were found for a handful of schedulin...
(A) The celebrated Gaussian quadrature formula on finite intervals tells us that the Gauss nodes are the zeros of the unique solution of an extremal problem. We announce recent re...