4 citations · 6 across the 5 of their papers we have counts for
6 papers
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…
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…
Overcomplete Dictionary Learning with Jacobi Atom Updates
Paul Irofti, Bogdan Dumitrescu
Dictionary learning for sparse representations is traditionally approached with sequential atom updates, in which an optimized atom is used immediately for the optimization of the…
On the Relation Between the Randomized Extended Kaczmarz Algorithm and Coordinate Descent
Bogdan Dumitrescu
In this note we compare the randomized extended Kaczmarz (EK) algorithm and randomized coordinate descent (CD) for solving the full-rank overdetermined linear least-squares problem…
Semi-infinite optimization with sums of exponentials via polynomial approximation
Bogdan Dumitrescu, Bogdan C. Sicleru, Florin Avram
We propose a general method for optimization with semi-infinite constraints that involve a linear combination of functions, focusing on the case of the exponential function. Each f…