A
Adrian G. Bors
Researcher at University of York
Publications - 171
Citations - 2612
Adrian G. Bors is an academic researcher from University of York. The author has contributed to research in topics: Computer science & Digital watermarking. The author has an hindex of 23, co-authored 147 publications receiving 2313 citations. Previous affiliations of Adrian G. Bors include York University & Aristotle University of Thessaloniki.
Papers
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Proceedings ArticleDOI
Image watermarking using DCT domain constraints
Adrian G. Bors,Ioannis Pitas +1 more
TL;DR: The algorithms proposed select certain blocks in the image based on a Gaussian network classifier such that their discrete cosine transform (DCT) coefficients fulfil a constraint imposed by the watermark code.
Journal ArticleDOI
Multimodal decision-level fusion for person authentication
TL;DR: Two modifications of the FKM and FVQ algorithms, based on a fuzzy vector distance definition, are proposed to handle the fuzzy data and utilize the quality measure, and the use of the quality via the proposed modified algorithms increases the performance of the fusion system.
Journal ArticleDOI
Variational learning for Gaussian mixture models
Nikolaos Nasios,Adrian G. Bors +1 more
TL;DR: A hyperparameter initialization procedure for the training algorithm using a joint maximum likelihood and Bayesian methodology for estimating Gaussian mixture models and is applied in blind signal detection and in color image segmentation.
Journal ArticleDOI
Median radial basis function neural network
Adrian G. Bors,Ioannis Pitas +1 more
TL;DR: The median radial basis function (MRBF) algorithm is introduced based on robust estimation of the hidden unit parameters and employs the marginal median for kernel location estimation and the median of the absolute deviations for the scale parameter estimation.
Journal ArticleDOI
Watermarking mesh-based representations of 3-D objects using local moments
TL;DR: A new methodology for fingerprinting and watermarking three-dimensional (3-D) graphical objects is proposed in this paper and two different water marking algorithms, that do not require the original 3-D graphical object in the detection stage, are proposed.