Results 61 to 70 of about 573,498 (278)
Advanced Science, EarlyView.Using machine learning on a mega‐scale global dataset (n = 1,336,840) reveals a robust personality trait architecture beyond the Big Five. A Big Two model, broadly capturing social engagement and internal mentation, defines a geometric space that links personality to neurocognitive profiles.
Kaixiang Zhuang +7 more
wiley +1 more source
Jitter-Adaptive Dictionary Learning - Application to Multi-Trial Neuroelectric Signals [PDF]
, 2013 Dictionary Learning has proven to be a powerful tool for many image processing tasks, where atoms are typically defined on small image patches. As a drawback, the dictionary only encodes basic structures.
Bénar, Christian +5 more
core +4 more sources
Dictionary Learning for Blind One Bit Compressed Sensing
, 2015 This letter proposes a dictionary learning algorithm for blind one bit compressed sensing. In the blind one bit compressed sensing framework, the original signal to be reconstructed from one bit linear random measurements is sparse in an unknown domain ...
Korki, Mehdi +2 more
core +1 more source
Explicit Shift-Invariant Dictionary Learning [PDF]
IEEE Signal Processing Letters, 2014 In this letter we give efficient solutions to the construction of structured dictionaries for sparse representations. We study circulant and Toeplitz structures and give fast algorithms based on least squares solutions. We take advantage of explicit circulant structures and we apply the resulting algorithms to shift-invariant learning scenarios ...
Rusu, Cristian +2 more
openaire +2 more sources
A Perspective on Interactive Theorem Provers in Physics
Advanced Science, EarlyView.Into an interactive theorem provers (ITPs), one can write mathematical definitions, theorems and proofs, and the correctness of those results is automatically checked. This perspective goes over the best usage of ITPs within physics and motivates the open‐source community run project PhysLean, the aim of which is to be a library for digitalized physics
Joseph Tooby‐Smith
wiley +1 more source
Sparse representation for massive MIMO satellite channel based on joint dictionary learning
Electronics LettersA constrained joint dictionary learning (CJDL) algorithm for high‐precision channel representation in massive multiple input multiple output (MIMO) satellite systems is proposed.
Qing yang Guan, Shuang Wu
doaj +1 more source
SPD Data Dictionary Learning Based on Kernel Learning and Riemannian Metric
IEEE Access, 2020 The use of regional covariance descriptors to generate feature data represented by Symmetric Positive Definite (SPD) matrices from images or videos has become increasingly common in machine learning.
Rixin Zhuang +3 more
doaj +1 more source
IEEE Access, 2022 To solve the problem of image smoothness and fuzzy edge texture information after image denoising, proposed a new image denoising method based on dictionary learning.
Changpeng Ji, Lina He, Wei Dai
doaj +1 more source
An Incidence Geometry approach to Dictionary Learning [PDF]
, 2015 We study the Dictionary Learning (aka Sparse Coding) problem of obtaining a sparse representation of data points, by learning \emph{dictionary vectors} upon which the data points can be written as sparse linear combinations.
Sitharam, Meera +2 more
core
Image Super-Resolution via Dual-Dictionary Learning And Sparse Representation
, 2012 Learning-based image super-resolution aims to reconstruct high-frequency (HF) details from the prior model trained by a set of high- and low-resolution image patches.
Ma, Siwei +4 more
core +1 more source