Results 21 to 30 of about 667,864 (326)

Enhancing MR Image Reconstruction Using Block Dictionary Learning

open access: yesIEEE Access, 2019
While representing a class of signals in term of sparsifying transform, it is better to use a adapted learned dictionary instead of using a predefined dictionary as proposed in the recent literature.
Shahid Ikram   +5 more
doaj   +1 more source

Onomasticon of a Dialect Speaker: A Lexicographic Project [PDF]

open access: yesВопросы ономастики, 2015
The article exposes the conception of a dictionary reflecting the system of proper names of a traditional culture bearer. The dictionary is supposed to focus upon the onomasticon of a dialect speaker retrieved from the oral discourse of one person; it ...
Ekaterina V. Ivantsova
doaj   +1 more source

Learning parametric dictionaries for graph signals [PDF]

open access: yes, 2014
In sparse signal representation, the choice of a dictionary often involves a tradeoff between two desirable properties -- the ability to adapt to specific signal data and a fast implementation of the dictionary.
Frossard, Pascal   +2 more
core   +2 more sources

Class-Specific Sparse Principal Component Analysis for Visual Classification

open access: yesIEEE Access, 2020
Extensive research has demonstrated that dictionary learning is active in improving the performance of the representation based classification. However, dictionary learning suffers from lacking an effective dictionary structure that can well tradeoff the
Fei Pan   +3 more
doaj   +1 more source

Graph Signal Representation with Wasserstein Barycenters [PDF]

open access: yes, 2018
In many applications signals reside on the vertices of weighted graphs. Thus, there is the need to learn low dimensional representations for graph signals that will allow for data analysis and interpretation.
Frossard, Pascal, Simou, Effrosyni
core   +2 more sources

Structural Development of Oxford Advanced Learners’ Dictionary [PDF]

open access: yesJournal of Literature and Art Studies, 2017
Oxford Advanced Learners’ Dictionary (OALD) stands out, on the EFL market, as the only EFL dictionary which has been continuously republished for over 70 years. With each new edition upgraded, OALD conforms to the contemporary language teaching and learning processes worldwide.
Ivančič, Ivana, Fabijanić, Ivo
openaire   +4 more sources

Simple, compact and robust approximate string dictionary [PDF]

open access: yes, 2014
This paper is concerned with practical implementations of approximate string dictionaries that allow edit errors. In this problem, we have as input a dictionary $D$ of $d$ strings of total length $n$ over an alphabet of size $\sigma$.
Belazzougui, Djamal, Chegrane, Ibrahim
core   +1 more source

The Dictionary Writing System Lexit and Its Application in Bilingual Lexicography

open access: yesCognitive Studies | Études cognitives, 2015
The Dictionary Writing System Lexit and Its Application in Bilingual Lexicography The paper presents LexIt  – a web-based Dictionary Writing System designed for the creation and enlargement of dictionaries.
Svetla Koeva, Diana Blagoeva
doaj   +1 more source

Online group-structured dictionary learning [PDF]

open access: yesCVPR 2011, 2011
We develop a dictionary learning method which is (i) online, (ii) enables overlapping group structures with (iii) non-convex sparsity-inducing regularization and (iv) handles the partially observable case. Structured sparsity and the related group norms have recently gained widespread attention in group-sparsity regularized problems in the case when ...
Zoltan Szabo   +2 more
openaire   +1 more source

A robust sparse representation algorithm based on adaptive joint dictionary

open access: yesCAAI Transactions on Intelligence Technology, 2023
Sparse representation based on dictionary construction and learning methods have aroused interests in the field of face recognition. Aiming at the shortcomings of face feature dictionary not ‘clean’ and noise interference dictionary not ‘representative ...
Ying Tong   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy