The problem of image segmentation using constraint satisfaction neural networks (CSNN) has been considered. Several variations of the CSNN theme have been advanced to improve its ...
We describe a novel method for the task of unsupervised POS tagging with a dictionary, one that uses integer programming to explicitly search for the smallest model that explains ...
A parametric version of herding is formulated. The nonlinear mapping between consecutive time slices is learned by a form of self-supervised training. The resulting dynamical syst...
This paper presents a robust adaptive goodness-of-fit (GOF) χ2 test event detector for non-intrusive load monitoring applications. We derive a closed form for the decision thres...
Yuanwei Jin, Eniye Tebekaemi, Mario Berges, Lucio ...
The recently presented recursive least squares dictionary learning algorithm (RLS-DLA) is tested in a general image compression application. Dictionaries are learned in the pixel ...