Motionanalysis often relies on differencing operations that inherently amplify noise and are hindered by the spatial correspondenceproblem.Analternative approach is proposedusing ...
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
We introduce a computationally feasible, "constructive" active learning method for binary classification. The learning algorithm is initially formulated for separable cl...
We develop a statistical model to describe the spatially varying behavior of local neighborhoods of coefficients in a multiscale image representation. Neighborhoods are modeled as ...
We present a space-time coded system which achieves high throughput and good performance using lowcomplexity detection and decoding. We focus on a Rate 2 quasiorthogonal space-time...
Nicholas S. J. Pau, Desmond P. Taylor, Philippa A....