We propose a new approach to adaptive system identification when the system model is sparse. The approach applies the ℓ1 relaxation, common in compressive sensing, to improve t...
We address covariance estimation under mean-squared loss in the Gaussian setting. Specifically, we consider shrinkage methods which are suitable for high dimensional problems wit...
This paper describes Automated Industry and Occupation Coding System (AIOCS). The main function of the system is to classify natural language responses to survey questionnaires int...
In an effort to improve performance of congested gateways, a new Active Queue Management (AQM) algorithm, Adaptive Virtual Queue Random Early Detection (AVQRED), was developed by ...
Abstract. We propose a general transformation that maps a cryptographic protocol that is secure in an extremely weak sense (essentially in a model where no adversary is present) in...