Search Results - "Skretting, Karl"

Imposing shift-invariance using Flexible Structure Dictionary Learning (FSDL) by Barzideh, Faraz, Skretting, Karl, Engan, Kjersti

“…Sparse representation and Dictionary learning have attracted a lot of research attention in the last couple of decades and have provided state of the art…”
Get full text

Family of iterative LS-based dictionary learning algorithms, ILS-DLA, for sparse signal representation by Engan, Kjersti, Skretting, Karl, Husøy, John Håkon

“…The use of overcomplete dictionaries, or frames, for sparse signal representation has been given considerable attention in recent years. The major challenges…”
Get full text

Kernel recursive least squares dictionary learning algorithm by Alipoor, Ghasem, Skretting, Karl

Get full text

Recursive Least Squares Dictionary Learning Algorithm by Skretting, K., Engan, K.

“…We present the recursive least squares dictionary learning algorithm, RLS-DLA, which can be used for learning overcomplete dictionaries for sparse signal…”
Get full text

Texture Classification Using Sparse Frame-Based Representations by Skretting, Karl, Husøy, JohnHåkon

“…: A new method for supervised texture classification, denoted by frame texture classification method (FTCM), is proposed. The method is based on a…”
Get full text

Image compression using learned dictionaries by RLS-DLA and compared with K-SVD by Skretting, Karl, Engan, Kjersti

“…The recently presented recursive least squares dictionary learning algorithm (RLS-DLA) is tested in a general image compression application. Dictionaries are…”
Get full text

Nonlinear Signal Decomposition Based on Block Sparse Approximation by Diop, El Hadji S., Skretting, Karl

“…We propose here a nonlinear decomposition approach that properly separates the frequency content of signals. To do so, we propose a block-based sparse coding…”
Get full text

Frequency Separation Method Based on Sparse Coding by Diop, El Hadji S., Skretting, Karl

“…The paper presents a sparse coding method that models a signal with amplitude modulation (AM) and frequency modulation (FM) functions. Indeed, the proposed…”
Get full text

Bayesian Topology Learning and noise removal from network data by Ramezani Mayiami, Mahmoud, Hajimirsadeghi, Mohammad, Skretting, Karl, Dong, Xiaowen, Blum, Rick S., Poor, H. Vincent

“…Learning the topology of a graph from available data is of great interest in many emerging applications. Some examples are social networks, internet of things…”
Get full text

Texture Classification Using Sparse Frame-Based Representations by Skretting, Karl, Husøy, JohnHåkon

“…A new method for supervised texture classification, denoted by frame texture classification method (FTCM), is proposed. The method is based on a deterministic…”
Get full text

Correction to: Bayesian Topology Learning and noise removal from network data by Ramezani-Mayiami, Mahmoud, Hajimirsadeghi, Mohammad, Skretting, Karl, Dong, Xiaowen, Blum, Rick S., Poor, H. Vincent

“…A correction to this paper has been published: https://doi.org/10.1007/s43926-021-00013-8…”
Get full text

Probability mapping of scarred myocardium using texture and intensity features in CMR images by Kotu, Lasya Priya, Engan, Kjersti, Skretting, Karl, Måløy, Frode, Orn, Stein, Woie, Leik, Eftestøl, Trygve

“…The myocardium exhibits heterogeneous nature due to scarring after Myocardial Infarction (MI). In Cardiac Magnetic Resonance (CMR) imaging, Late Gadolinium…”
Get full text

Robust Graph Topology Learning and Application in Stock Market Inference by Ramezani-Mayiami, Mahmoud, Skretting, Karl

“…In many applications, there are multiple interacting entities, generating time series of data over the space. To describe the relation within the set of data,…”
Get full text

Topology Inference and Signal Representation Using Dictionary Learning by Ramezani-Mayiami, Mahmoud, Skretting, Karl

“…This paper presents a Joint Graph Learning and Signal Representation algorithm, called JGLSR, for simultaneous topology learning and graph signal…”
Get full text

General design algorithm for sparse frame expansions by Skretting, Karl, Husøy, John Håkon, Aase, Sven Ole

“…Signal expansions using frames may be considered as generalizations of signal representations based on transforms and filter banks. Frames, or dictionaries,…”
Get full text

Graph Topology Learning and Signal Recovery Via Bayesian Inference by Ramezani-Mayiami, Mahmoud, Hajimirsadeghi, Mohammad, Skretting, Karl, Blum, Rick S., Vincent Poor, H.

“…The estimation of a meaningful affinity graph has become a crucial task for representation of data, since the underlying structure is not readily available in…”
Get full text

AM-FM Image Analysis based on Sparse Coding Frequency Separation Approach by Diop, El Hadji S., Skretting, Karl, Boudraa, Abdel-O.

“…We propose here an extension to images of a sparse coding frequency separation method. The approach is based on a 2D multicomponent amplitude modulation…”
Get full text

Estimation of Missing Data in Fetal Heart Rate Signals Using Shift-Invariant Dictionary by Barzideh, Faraz, Urdal, Jarle, Hussein, Kidanto, Engan, Kjersti, Skretting, Karl, Mdoe, Paschal, Kamala, Benjamin, Brunner, Sara

“…In 2015, an estimated 1.3 million intrapartum stillbirths occurred, meaning that the fetus died during labour. The majority of these stillbirths occurred in…”
Get full text

The flexible signature dictionary by Barzideh, Faraz, Skretting, Karl, Engan, Kjersti

“…Dictionary learning and Sparse representation of signals and images has been a hot topic for the past decade and aims to help find the sparsest representation…”
Get full text

Retinal vessel inpainting using recursive least square dictionary learning algorithm by Colomer, Adrian, Naranjo, Valery, Engan, Kjersti, Skretting, Karl

“…Retinal blood vessels are considered as being interference on the retinal images for the task of detecting significant features of the most frequent eye…”
Get full text