Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
This paper aims to address the problem of anomaly detection and discrimination in complex behaviours, where anomalies are subtle and difficult to detect owing to the complex tempor...
-- One of the greatest challenges in C/C++-based design methodology is to efficiently map C/C++ models into hardware. Many of the networking and multimedia applications implemente...
—An adaptive multiple input and multiple output with the code matrix index feedback [8]. One detector will (MIMO) system based on the unified belief propagation (BP) work in the ...
Subspace segmentation is the task of segmenting data
lying on multiple linear subspaces. Its applications in
computer vision include motion segmentation in video,
structure-from...