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Investigating low-delay deep learning-based cultural image reconstruction
(
Springer Science and Business Media Deutschland GmbH
, 2020 , Conference Paper)
Numerous cultural assets host a great historical and moral value, but due to their degradation, this value is heavily affected as their attractiveness is lost. One of the solutions that most heritage organizations and ...
Digital heritage enrichment through artificial intelligence and semanticweb technologies
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Art and culture represent substantial ways to transfer the history of humans across civilizations and epochs. Preserving artwork and cultural objects is thus important and the focus of multiple institutions and governments ...
Digitization and preservation of cultural heritage products
(
Springer New York LLC
, 2017 , Conference Paper)
Cultural heritage encompasses various aspects of a nation's history. Cultural heritage artifacts are considered as priceless items that need special care. Since the wide adoption of new digital technologies, documenting ...
Higher education internationalization: The Erasmus-Mundus network added value
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
Higher education internationalization can play a major role in developing universities and students' capacities and their opportunities broadly throughout the world. Irrespective of contextual differences within and between ...
A survey of clustering algorithms for big data: Taxonomy and empirical analysis
(
IEEE Computer Society
, 2014 , Article)
Clustering algorithms have emerged as an alternative powerful meta-learning tool to accurately analyze the massive volume of data generated by modern applications. In particular, their main goal is to categorize data into ...
A cost-effective 3d acquisition and visualization framework for cultural heritage
(
Springer Science and Business Media Deutschland GmbH
, 2021 , Conference Paper)
Museums and cultural institutions, in general, are in a constant challenge of adding more value to their collections. The attractiveness of assets is practically tightly related to their value obeying the offer and demand ...
Gravitational weighted fuzzy c-means with application on multispectral image segmentation
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
This paper presents a novel clustering approach based on the classic Fuzzy c-means algorithm. The approach is inspired from the concept of interaction between objects in physics. Each data point is regarded as a particle. ...
A FCM and SURF based algorithm for segmentation of multispectral face images
(
IEEE
, 2013 , Conference Paper)
In this paper, we propose a novel clustering algorithm based on Fuzzy C-Means (FCM) and Speeded-Up Robust Feature (SURF) for multispectral image segmentation. In the experiments, color images and multispectral images from ...
Cluster validity index based on n-sphere
(
IEEE
, 2014 , Conference Paper)
In this paper, we propose a new cluster validity index (CVI) based on geometrical shape. Classic CVIs are based on a combination of separation and compactness measures and may include a measure of overlap between clusters. ...
Vector anisotropic filter for multispectral image denoising
(
SPIE
, 2015 , Conference Paper)
In this paper, we propose an approach to extend the application of anisotropic Gaussian filtering for multi- spectral image denoising. We study the case of images corrupted with additive Gaussian noise and use sparse matrix ...