Personal Website of George V. Moustakides
Information
Scientific Activities
Publications
Submitted
Teaching
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CS Rutgers
Submitted
K. Basioti, G.V. Moustakides, E.Z. Psarakis, A novel classification method based on shallow networks, submitted to a Machine Learning conference.
G. Rovatsos, G.V. Moustakides, V.V. Veeravalli, Quickest detection of an anomaly in a sensor network, submitted to the Asilomar 2019 conference.
L. Xie, Y. Xie, G.V. Moustakides, Sequential subspace changepoint detection, submitted to the IEEE Transactions on Signal Processing. (Nov. 2018)
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Working Papers
J.G. Ligo, G.V. Moustakides, V.V. Veeravalli, Detecting sparse mixtures: Rate of decay of error probability, to be sub-mitted to the Bernoulli journal.
J.G. Ligo, G.V. Moustakides, V.V. Veeravalli, Detecting sparse mixtures via quantization: Low complexity, high-performance tests, to be submitted to the IEEE Transactions on Information Theory.
G. Fellouris, G.V. Moustakides, Decentralized sequential change detection, to be submitted to the Bernoulli Journal.
G.V. Moustakides, V.V. Veeravalli, Optimum sequential detection of transitory changes, to be submitted to the IEEE Transactions on Information Theory.
G.V. Moustakides, Sequential detection of changes with Markovian data, to be submitted to the Annals of Statistics.
G.V. Moustakides, S. Li, Quickest detection of transient changes, to be submitted to Methodology and Computing in Applied Probability.
G.V. Moustakides, Sequential rate-change detection in homogeneous Poisson processes, to be submitted to the Annals of Statistics.
G.V. Moustakides, Adaptive dependent source separation, to be submitted to the IEEE Transactions on Signal Processing.
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