— To approximate complex data, we propose new type of low-dimensional “principal object”: principal cubic complex. This complex is a generalization of linear and nonlinear pr...
Alexander N. Gorban, Neil R. Sumner, Andrei Yu. Zi...
— We target M-ary data sequence estimation over time-variant frequency selective fading channels subject to cochannel interference (CCI). A novel joint reduced state sequence est...
Temporal or dynamic textures (DT's) are video sequences that are spatially repetitive and temporally stationary. DT's are temporal analogs of the well known spatial stil...
— We propose an implementable new universal lossy source coding algorithm. The new algorithm utilizes two wellknown tools from statistical physics and computer science: Gibbs sam...
We present an algorithm for fast posterior inference in penalized high-dimensional state-space models, suitable in the case where a few measurements are taken in each time step. W...