Results 61 to 70 of about 27,345 (261)

Effective Input Projection for Updating Dictionary Atoms in Sparse Coding-Based Image Denoising

IEEE Access
Adaptive dictionary learning algorithms offer enhanced performance through the joint optimization of dictionary atoms and sparse representations.
Ammar Hoori, Alex J. Aved, Simegnew Yihunie Alaba, Yuichi Motai   +3 more
doaj   +1 more source

An Analysis Dictionary Learning Algorithm under a Noisy Data Model with Orthogonality Constraint

The Scientific World Journal, 2014
Two common problems are often encountered in analysis dictionary learning (ADL) algorithms. The first one is that the original clean signals for learning the dictionary are assumed to be known, which otherwise need to be estimated from noisy measurements.
Ye Zhang, Tenglong Yu, Wenwu Wang
doaj   +1 more source

Solving Inverse Problems in Imaging via Deep Dictionary Learning

IEEE Access, 2019
In dictionary learning-based inversion, the dictionary and coefficients are learnt adaptively from the image during the inversion process; this is a shallow approach since one layer of the dictionary is learnt.
John Lewis D., Vanika Singhal, Angshul Majumdar   +2 more
doaj   +1 more source

Operando X‐Ray Diffraction and Total Scattering Characterization of Battery Materials: Not Just a Pretty Picture

Advanced Energy Materials, EarlyView.
This review focuses on operando studies of battery materials by X‐ray diffraction (XRD) and total X‐ray scattering (TXS). This work highlights potential pitfalls and identify best‐practices for operando studies and reviews some unusual experiments to illustrate how these methods can be applied beyond the evaluation of the early‐stage cycling mechanisms
Amalie Skurtveit, Eira Tiberg North, Izar Capel Berdiell, Wouter Van Beek, David S. Wragg, Alexey Y. Koposov   +5 more
wiley   +1 more source

Dictionary Learning of Symmetric Positive Definite Data Based on Riemannian Manifold Tangent Spaces and Local Homeomorphism

IEEE Access, 2022
Symmetric Positive Definite (SPD) data are increasingly prevalent in dictionary learning recently. SPD data are the typical non-Euclidean data and cannot constitute a Euclidean space.
Hui He, Shuyu Liu, Zhengming Ma, Weijia Feng   +3 more
doaj   +1 more source

Multivariate temporal dictionary learning for EEG [PDF]

Journal of Neuroscience Methods, 2013
This article addresses the issue of representing electroencephalographic (EEG) signals in an efficient way. While classical approaches use a fixed Gabor dictionary to analyze EEG signals, this article proposes a data-driven method to obtain an adapted dictionary.
Barthélemy, Quentin, Gouy-Pailler, Cédric, Isaac, Yoann, Souloumiac, Antoine, Larue, Anthony, Mars, Jérôme I.   +5 more
openaire   +5 more sources

Measuring Nutrition Security Using the Consumer Food Data System Datasets

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Nutrition security is an emerging concept lacking a consensus definition, conceptualization, or standardized measure. This perspectives manuscript synthesizes findings from two previously published analyses to assess the feasibility of using available measures of key dimensions of nutrition security from two Consumer Food Data System (CFDS ...
Vibha Bhargava, Jung Sun Lee, Travis A. Smith   +2 more
wiley   +1 more source

Compressed Data Collection Method for Wireless Sensor Networks Based on Optimized Dictionary Updating Learning

IEEE Access, 2020
Wireless sensor networks (WSNs) is composed of a large number of tiny sensors. These energy-constrained sensors are deployed in a variety of environments to collect data such as temperature, humidity, and light intensity.
Junying Chen, Fuqiang Zhou, Zhanshe Guo, Jiangwen Wan   +3 more
doaj   +1 more source

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

Advanced Intelligent Discovery, EarlyView.
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan, Kang Hu, Zhuowen Wu, Jiangyang Ge, Jiawei Miao, Yuzhi Zhang, He Sun, Weizong Wang, Tianhan Zhang   +8 more
wiley   +1 more source

Analysis of fast structured dictionary learning [PDF]

Information and Inference: A Journal of the IMA, 2019
Abstract Sparsity-based models and techniques have been exploited in many signal processing and imaging applications. Data-driven methods based on dictionary and sparsifying transform learning enable learning rich image features from data and can outperform analytical models.
Ravishankar, Saiprasad, Ma, Anna, Needell, Deanna   +2 more
openaire   +3 more sources