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20112025
most citedOptimized projections for compressed sensing via rank-constrained nearest correlation matrix

34 citations · 65 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CR2025

Detecting and Mitigating DDoS Attacks with AI: A Survey

Alexandru Apostu, Silviu Gheorghe, Andrei Hîji +5

Distributed Denial of Service attacks represent an active cybersecurity research problem. Recent research shifted from static rule-based defenses towards AI-based detection and mit…

cs.LG2024

Fusing Dictionary Learning and Support Vector Machines for Unsupervised Anomaly Detection

Paul Irofti, Iulian-Andrei Hîji, Andrei Pătraşcu +1

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 Lear…

cs.IT2013★ 34 cited

Optimized projections for compressed sensing via rank-constrained nearest correlation matrix

Nicolae Cleju

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 par…

cs.IT2012★ 12 cited

Analysis-based sparse reconstruction with synthesis-based solvers

Nicolae Cleju, Maria G. Jafari, Mark D. Plumbley

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…

cs.MM2011★ 19 cited

Selection of network coding nodes for minimal playback delay in streaming overlays

Nicolae Cleju, Nikolaos Thomos, Pascal Frossard

Network coding permits to deploy distributed packet delivery algorithms that locally adapt to the network availability in media streaming applications. However, it may also increas…