In this paper we present a general framework for object detection and segmentation. Using a bottom-up unsupervised merging algorithm, a region-based hierarchy that represents the ...
This paper presents an asymptotic analysis of the eigen value decomposition (EVD) of the sample covariance matrix associated with independent identically distributed (IID) non nec...
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 ...
This paper adresses the problem of anomaly detection and classification by using a noisy measurement vector corrupted by some linear unknown nuisance parameters. An invariant con...
We consider the decentralized Bayesian binary hypothesis testing problem in feedback architectures, in which the fusion center broadcasts information based on the messages of some...