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Atom dimension adaptation for infinite set dictionary learning
Andra Băltoiu, Denis C. Ilie-Ablachim, Bogdan Dumitrescu
Recent work on dictionary learning with set-atoms has shown benefits in anomaly detection. Instead of viewing an atom as a single vector, these methods allow building sparse repres…
Anomaly Detection with Selective Dictionary Learning
Denis C. Ilie-Ablachim, Bogdan Dumitrescu
In this paper we present new methods of anomaly detection based on Dictionary Learning (DL) and Kernel Dictionary Learning (KDL). The main contribution consists in the adaption of…
Classification with Incoherent Kernel Dictionary Learning
Denis C. Ilie-Ablachim, Bogdan Dumitrescu
In this paper we present a new classification method based on Dictionary Learning (DL). The main contribution consists of a kernel version of incoherent DL, derived from its standa…
Kernel t-distributed stochastic neighbor embedding
Denis C. Ilie-Ablachim, Bogdan Dumitrescu, Cristian Rusu
This paper presents a kernelized version of the t-SNE algorithm, capable of mapping high-dimensional data to a low-dimensional space while preserving the pairwise distances between…