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Aggelos K. Katsaggelos

Researcher at Northwestern University

Publications -  999
Citations -  28918

Aggelos K. Katsaggelos is an academic researcher from Northwestern University. The author has contributed to research in topics: Image restoration & Image processing. The author has an hindex of 76, co-authored 946 publications receiving 26196 citations. Previous affiliations of Aggelos K. Katsaggelos include University of Stavanger & Delft University of Technology.

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Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO

TL;DR: This first approach, which is referred to as scalable variational Gaussian processes for crowdsourcing (SVGPCR), brings back GP-based methods to a state-of-the-art level, and excels at uncertainty quantification.
Proceedings Article

An automated system for visual biometrics

TL;DR: A system capable of automatically extracting visual feature s from a human face for use in dynamic visual biometrics is described, which incorporates robust and efficient vision algorithms to automatically detect, track and identify a speaker based on visual feature extracted from the speaker’s mouth region.
Journal ArticleDOI

Decision-aided compensation of severe phase-impairment-induced inter-carrier interference in frequency-selective OFDM

TL;DR: A new, reduced complexity algorithm is proposed for compensating the Inter-Carrier Interference (ICI) caused by severe PHase Noise and Residual Frequency Offset in OFDM systems.
Proceedings ArticleDOI

A general formulation of the weighted smoothing functional for regularized image restoration

TL;DR: A general form of the weighted smoothing functional for regularized image restoration is proposed, defined as a function of the (partially) restored image, which is nonlinear with respect to the unknown image.
Proceedings Article

Laplacian sift in visual search

TL;DR: This work presents a SIFT descriptor dimension reduction scheme based on Laplacian Graph Embedding, which computes a linear embedding that preserves the topological relationship among visual descriptors.