Výsledky vyhledávání - multilayer conventional sparse coding

Supervised Deep Sparse Coding Networks for Image Classification.

Autoři: Sun, Xiaoxia Nasrabadi, Nasser M. Tran, Trac D.

Zdroj: IEEE Transactions on Image Processing; 2020, Vol. 29, p405-418, 14p

Simple and complex cells revisited: toward a selectivity-invariance model of object recognition.

Autoři: Xin Li Shuo Wang

Zdroj: Frontiers in Computational Neuroscience; 2023, p1-13, 13p

Témata: ARTIFICIAL neural networks, OBJECT recognition (Computer vision), TEMPORAL lobe, TOPOLOGICAL spaces

Improving the accuracy of genomic prediction in dairy cattle using the biologically annotated neural networks framework.

Autoři: Wang, Xue Shi, Shaolei Ali Khan, Md. Yousuf a další

Zdroj: Journal of Animal Science & Biotechnology. 7/1/2024, Vol. 15 Issue 1, p1-13. 13p.

An Analysis Of The Concept Of Law And Its Importance In Society And Education Of Jean-Jacques Rousseau.

Autoři: P. P., Yathukrishna Neena, T. S.

Zdroj: Journal of Advanced Zoology. 2024, Vol. 45 Issue 2, p42-44. 3p.

CMCS-net: image compressed sensing with convolutional measurement via DCNN.

Autoři: Xie, Yahong Wang, Hailin Wang, Jianjun

Zdroj: IET Image Processing (Wiley-Blackwell); 2020, Vol. 14 Issue 15, p3839-3850, 12p

Témata: DEEP learning, CONVOLUTIONAL neural networks, PROBLEM solving, COMPRESSED sensing, SIGNAL convolution, COMPUTATIONAL complexity, DATA compression

Deep Learning for Passive Synthetic Aperture Radar.

Autoři: Yonel, Bariscan Mason, Eric Yazici, Birsen

Zdroj: IEEE Journal of Selected Topics in Signal Processing; Feb2018, Vol. 12 Issue 1, p90-103, 14p

Adaptive Forward-Backward Splitting for Multilayer Convolutional Dictionary Learning.

Autoři: Guan-Ju Peng

Zdroj: SIAM Journal on Imaging Sciences; 2025, Vol. 18 Issue 1, p631-664, 34p

Témata: FORWARD-backward algorithm, DATA dictionaries, NONSMOOTH optimization, IMAGE reconstruction, IMAGE representation

Survey of temporal coding of sensory information.

Autoři: Cariani, Peter Baker, Janet M.

Zdroj: Frontiers in Computational Neuroscience; 2025, p1-29, 29p

Témata: NEURAL codes, AUDITORY perception, VISION, SYNCHRONIZATION, TACTILE sensors, SENSORIMOTOR integration, TASTE

Interpretable convolutional sparse coding method of Lamb waves for damage identification and localization.

Autoři: Zhang, Han Lin, Jing Hua, Jiadong a další

Zdroj: Structural Health Monitoring; Jul2022, Vol. 21 Issue 4, p1790-1804, 15p

Témata: LAMB waves, DEEP learning, STRUCTURAL health monitoring, FEATURE extraction, NONDESTRUCTIVE testing, CONVOLUTIONAL neural networks

Learning the sparse prior: Modern approaches.

Autoři: Peng, Guan‐Ju

Zdroj: WIREs: Computational Statistics; Jan/Feb2024, Vol. 16 Issue 1, p1-29, 29p

Témata: RECURRENT neural networks, SUPERVISED learning, ENCYCLOPEDIAS & dictionaries, PRIOR learning, DATA science

Machine learning modelling for multi-order human visual motion processing.

Autoři: Sun, Zitang Chen, Yen-Ju Yang, Yung-Hao a další

Zdroj: Nature Machine Intelligence; Jul2025, Vol. 7 Issue 7, p1037-1052, 16p

Deforestation rate estimation using crossbreed multilayer convolutional neural networks.

Autoři: Subhahan, D. Abdus Kumar, C. N. S. Vinoth

Zdroj: Multimedia Tools & Applications; Oct2024, Vol. 83 Issue 33, p79453-79479, 27p

Témata: CONVOLUTIONAL neural networks, SPECKLE interference, SYNTHETIC aperture radar, DEFORESTATION, ENVIRONMENTAL degradation

Synaptic facilitation and learning of multiplexed neural signals.

Autoři: Crook, Nigel Rast, Alexander D. Elia, Eleni a další

Zdroj: Frontiers in Network Physiology; 2025, p1-16, 16p

Damage localization with Lamb waves using dense convolutional sparse coding network.

Autoři: Zhang, Han Hua, Jiadong Lin, Jing a další

Zdroj: Structural Health Monitoring; Mar2023, Vol. 22 Issue 2, p1180-1192, 13p

Témata: LAMB waves, DEEP learning, LINEAR network coding, MACHINE learning, STRUCTURAL health monitoring, THRESHOLDING algorithms, MATHEMATICAL convolutions

Image super‐resolution reconstruction based on implicit image functions.

Autoři: Lin, Hai Yang, JunJie

Zdroj: IET Image Processing (Wiley-Blackwell); 8/21/2024, Vol. 18 Issue 10, p2690-2701, 12p

Témata: MULTILAYER perceptrons, IMAGE reconstruction, DEEP learning, COMPUTING platforms, EDGE computing, IMAGE reconstruction algorithms

基于稀疏编码的弥散微循环模型参数估计神经网络. (Chinese)

Alternate Title: Neural Network for Parpameter Estimation of Intravoxel Incoherent Motion Based on Sparse Coding. (English)

Autoři: 郑天舒 颜国辉 叶初阳 a další

Zdroj: Journal of Data Acquisition & Processing / Shu Ju Cai Ji Yu Chu Li; Jul2022, Vol. 37 Issue 4, p747-756, 10p

A machine learning-based EEG signal analysis framework to enhance emotional state detection.

Autoři: Sobhani, Md. Amir Abdal Srestha, Sreya Deb Shomoy, Md. Maimoon Hossain a další

Zdroj: Cognitive Neurodynamics; 11/8/2025, Vol. 19 Issue 1, p1-31, 31p

Activated Sparsely Sub-Pixel Transformer for Remote Sensing Image Super-Resolution.

Autoři: Guo, Yongde Gong, Chengying Yan, Jun

Zdroj: Remote Sensing; Jun2024, Vol. 16 Issue 11, p1895, 20p

Témata: TRANSFORMER models, HIGH resolution imaging, FEATURE selection, CODING theory

Machine Learning Models of the Geospatial Distribution of Groundwater Quality: A Systematic Review.

Autoři: Mehrabi, Mohammad Polya, David A. Han, Yang

Zdroj: Water (20734441); Oct2025, Vol. 17 Issue 19, p2861, 48p

Témata: MACHINE learning, GROUNDWATER quality, STATISTICAL reliability, PREDICTION models, SPATIAL variation, ENVIRONMENTAL risk assessment, POLLUTANTS

Tensor-Based Sparse Representation for Hyperspectral Image Reconstruction Using RGB Inputs.

Autoři: Duan, Yingtao Wang, Nan Zhang, Yifan a další

Zdroj: Mathematics (2227-7390); Mar2024, Vol. 12 Issue 5, p708, 18p

Témata: IMAGE reconstruction, PIXELS, IMAGE representation, SPECTRAL imaging, MULTISPECTRAL imaging