Results 51 to 60 of about 6,752,036 (307)

Dictionary learning with application to vibration analysis

, 2023
reservedThis thesis aims to apply dictionary learning techniques to a real-world problem: audio signals recorded from a machine tool for high-precision engravings.
BIANCHIN, MATTEO
core  

Dictionary learning of sounds and vibrations

, 2022
reservedAnalisi dei suoni e delle vibrazioni attraverso il dictionary ...
CARPANESE, SABRINA
core  

A Dictionary Learning Based Automatic Modulation Classification Method

IEEE Access, 2018
As the process of identifying the modulation format of the received signal, automatic modulation classification (AMC) has various applications in spectrum monitoring and signal interception.
Kezhong Zhang, Easton Li Xu, Zhiyong Feng, Ping Zhang   +3 more
doaj   +1 more source

A Greedy Deep Learning Method for Medical Disease Analysis

IEEE Access, 2018
This paper proposes a new deep learning method, the greedy deep weighted dictionary learning for mobile multimedia for medical diseases analysis. Based on the traditional dictionary learning methods, which neglects the relationship between the sample and
Chunxue Wu, Chong Luo, Naixue Xiong, Wei Zhang, Tai-Hoon Kim   +4 more
doaj   +1 more source

Fast Dictionary Learning for Sparse Representations of Speech Signals [PDF]

, 2014
For dictionary-based decompositions of certain types, it has been observed that there might be a link between sparsity in the dictionary and sparsity in the decomposition.
Bharathi
core  

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio, Desiree Latella, Lilla Bonanno, Paulo Cezar Rocha dos Santos, Marcos Maldonado‐Díaz, Meir Plotnik, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò   +8 more
wiley   +1 more source

Discriminative Dictionary Learning Using Penalized Rank-1 Approximation for Breast Cancer Classification With Imbalanced Dataset

IEEE Access
In histopathological image analysis, the feature extraction task for classification proves to be demanding. This difficulty arises from the assortment of histological features appropriate for individual problems and the intricate presence of diverse ...
Usman Haider, Muhammad Hanif, Ahmar Rashid, Khursheed Aurangzeb, Akhtar Khalil, Musaed Alhussein   +5 more
doaj   +1 more source

Joint Dictionary Learning for Multispectral Change Detection

, 2017
Change detection is one of the most important applications of remote sensing technology. It is a challenging task due to the obvious variations in the radiometric value of spectral signature and the limited capability of utilizing spectral information.
Lu, Xiaoqiang, Zheng, Xiangtao, Yuan, Yuan   +2 more
core   +1 more source

Dynamic Observation of Lacy Pattern Formation in a Bone Tissue Model Using Liquid Phase Scanning Transmission Electron Microscopy

Advanced Functional Materials, EarlyView.
Here, we establish a low‐dose liquid‐phase electron microscopy workflow for real‐time observation of biological processes in hydrated conditions. Beam damage is reduced by imaging only 20% of the pixels and reconstructing the complete image using an inpainting algorithm.
Luco Rutten, Avital Wagner, Rona Roverts, Luco Buise, Ben Joosten, Anat Akiva, Elena Macías‐Sánchez, Nico Sommerdijk   +7 more
wiley   +1 more source

Online multi-modal robust non-negative dictionary learning for visual tracking.

PLoS ONE, 2015
Dictionary learning is a method of acquiring a collection of atoms for subsequent signal representation. Due to its excellent representation ability, dictionary learning has been widely applied in multimedia and computer vision.
Xiang Zhang, Naiyang Guan, Dacheng Tao, Xiaogang Qiu, Zhigang Luo   +4 more
doaj   +1 more source