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pro vyhledávání: '"Cleju, Nicolae"'
We study in this paper the improvement of one-class support vector machines (OC-SVM) through sparse representation techniques for unsupervised anomaly detection. As Dictionary Learning (DL) became recently a common analysis technique that reveals hid
Externí odkaz:
http://arxiv.org/abs/2404.04064
Autor:
Catargiu, Constantin1 (AUTHOR) constantin.catargiu@yahoo.com, Cleju, Nicolae1 (AUTHOR), Ciocoiu, Iulian B.1 (AUTHOR) iciocoiu@etti.tuiasi.ro
Publikováno v:
Sensors (14248220). Sep2024, Vol. 24 Issue 17, p5597. 18p.
Autor:
Cleju, Nicolae
Optimizing the acquisition matrix is useful for compressed sensing of signals that are sparse in overcomplete dictionaries, because the acquisition matrix can be adapted to the particular correlations of the dictionary atoms. In this paper a novel fo
Externí odkaz:
http://arxiv.org/abs/1309.3676
Analysis based reconstruction has recently been introduced as an alternative to the well-known synthesis sparsity model used in a variety of signal processing areas. In this paper we convert the analysis exact-sparse reconstruction problem to an equi
Externí odkaz:
http://arxiv.org/abs/1204.5347
Network coding permits to deploy distributed packet delivery algorithms that locally adapt to the network availability in media streaming applications. However, it may also increase delay and computational complexity if it is not implemented efficien
Externí odkaz:
http://arxiv.org/abs/1101.3979
Autor:
Cleju, Nicolae
Publikováno v:
In Applied and Computational Harmonic Analysis May 2014 36(3):495-507
Akademický článek
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Autor:
Cleju, Nicolae
Publikováno v:
2015 International Symposium on Signals, Circuits & Systems (ISSCS); 2015, p1-4, 4p
Autor:
Cleju, Nicolae
Publikováno v:
International Symposium on Signals, Circuits & Systems ISSCS2013; 2013, p1-4, 4p
Publikováno v:
Proceedings of the International Conference on Electronics, Computers & Artificial Intelligence - ECAI-2013; 2013, p1-4, 4p