3 papers
eess.SP2023
Reduced Kernel Dictionary Learning
Denis C. Ilie-Ablachim, Bogdan Dumitrescu
In this paper we present new algorithms for training reduced-size nonlinear representations in the Kernel Dictionary Learning (KDL) problem. Standard KDL has the drawback of a larg…
cs.LG2023
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…
cs.LG2023
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…