Výsledky vyhledávání - "Multi-layer sparse coding"

Multi-Layer Sparse Coding: The Holistic Way

Autoři: Aviad Aberdam Jeremias Sulam Michael Elad

Zdroj: SIAM Journal on Mathematics of Data Science. 1:46-77

Témata: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, Image and Video Processing (eess.IV), FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Electrical Engineering and Systems Science - Image and Video Processing, Electrical Engineering and Systems Science - Signal Processing, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/1804.09788
https://dblp.uni-trier.de/db/journals/corr/corr1804.html#abs-1804-09788
https://epubs.siam.org/doi/pdf/10.1137/18M1183352
https://epubs.siam.org/doi/abs/10.1137/18M1183352
http://ui.adsabs.harvard.edu/abs/2018arXiv180409788A/abstract

Designing a symmetric classifier for image annotation using multi-layer sparse coding

Autoři: Tariq, Amara Foroosh, Hassan

Zdroj: Image and Vision Computing. 69:33-43

Témata: 2. Zero hunger, 03 medical and health sciences, 0302 clinical medicine, Sparse coding, 4. Education, Symmetric classifier response, 0202 electrical engineering, electronic engineering, information engineering, Automatic image annotation, 02 engineering and technology, 15. Life on land, 10. No inequality, 7. Clean energy

Přístupová URL adresa: https://www.sciencedirect.com/science/article/pii/S0262885617301786
https://dblp.uni-trier.de/db/journals/ivc/ivc69.html#TariqF18
https://doi.org/10.1016/j.imavis.2017.11.002

Multi-layer sparse coding model-based ship detection for optical remote-sensing images

Autoři: Daiqin Yang Zonggui Chen Hao Li a další

Zdroj: International Journal of Remote Sensing. 38:6281-6297

Témata: 4. Education, 11. Sustainability, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: http://ui.adsabs.harvard.edu/abs/2017IJRS...38.6281L/abstract
https://tandfonline.com/doi/full/10.1080/01431161.2017.1353159

Multi-layer Sparse Coding Based Ship Detection for Remote Sensing Images

Autoři: Daiqin Yang Zhenzhong Chen Zimeng Li

Zdroj: 2015 IEEE International Conference on Information Reuse and Integration. :122-125

Témata: 0301 basic medicine, 03 medical and health sciences, 0211 other engineering and technologies, 02 engineering and technology

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/iri/iri2015.html#LiYC15
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7300964
https://doi.org/10.1109/IRI.2015.28
https://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7300964

A multi-layer sparse coding network learns contour coding from natural images

Autoři: Patrik O. Hoyer Aapo Hyvärinen

Zdroj: Vision Research. 42:1593-1605

Témata: Cerebral Cortex, 0301 basic medicine, Models, Neurological, Neurophysiology, Natural images, Independent component analysis, 02 engineering and technology, Sensory Systems, Ophthalmology, 03 medical and health sciences, Cortex, 0202 electrical engineering, electronic engineering, information engineering, Humans, Nerve Net, Contours, Neural networks, Vision, Ocular

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/12074953
https://europepmc.org/article/MED/12074953
https://www.sciencedirect.com/science/article/pii/S0042698902000172
https://www.sciencedirect.com/science/article/abs/pii/S0042698902000172
https://www.ncbi.nlm.nih.gov/pubmed/12074953

Multi-Layer Sparse Coding: The Holistic Way

Autoři: Aberdam, Aviad Sulam, Jeremias Elad, Michael

Témata: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Signal Processing, text

URL: http://arxiv.org/abs/1804.09788

Image Annotation using Multi-Layer Sparse Coding

Autoři: Tariq, Amara Foroosh, Hassan

Témata: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: http://arxiv.org/abs/1705.02460

Multi-layer sparse coding model-based ship detection for optical remote-sensing images.

Autoři: Li, H. Li, Z. Chen, Z. a další

Zdroj: International Journal of Remote Sensing; Nov2017, Vol. 38 Issue 22, p6281-6297, 17p

Témata: SHIPS, MARITIME shipping, REMOTE sensing, IMAGE processing, DEFORMATIONS (Mechanics)

Faculty Opinions recommendation of A multi-layer sparse coding network learns contour coding from natural images

Autoři: Bruno Olshausen

Zdroj: Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature.

Multi-layer Sparse Coding Based Ship Detection for Remote Sensing Images.

Autoři: Li, Zimeng Yang, Daiqin Chen, Zhenzhong

Zdroj: 2015 Research in Equity & Sustained Participation in Engineering, Computing & Technology (RESPECT); 2015, p122-125, 4p

Multi-layer convolutional dictionary learning network for signal denoising and its application to explainable rolling bearing fault diagnosis.

Autoři: Qin, Yi Yang, Rui He, Biao a další

Zdroj: ISA Transactions. Apr2024, Vol. 147, p55-70. 16p.

Témata: Signal denoising, Roller bearings, Fault diagnosis, Artificial neural networks, Thresholding algorithms, Vibration (Mechanics), Deep learning

Research on Deep Adaptive Clustering Method Based on Stacked Sparse Autoencoders for Concrete Truck Mixers Driving Conditions.

Autoři: Huang, Ying Jiang, Fachao Xie, Haiming

Zdroj: World Electric Vehicle Journal; Oct2025, Vol. 16 Issue 10, p581, 18p

Témata: CONCRETE mixers, MOTOR vehicle driving, CLUSTERING algorithms, ARTIFICIAL neural networks, FEATURE extraction, K-means clustering, DIMENSIONAL reduction algorithms

Model-driven deep unrolling: Towards interpretable deep learning against noise attacks for intelligent fault diagnosis.

Autoři: Zhao, Zhibin Li, Tianfu An, Botao a další

Zdroj: ISA Transactions. Oct2022:Part B, Vol. 129, p644-662. 19p.

Témata: Deep learning, Fault diagnosis, Artificial neural networks, Convolutional neural networks, Noise, Helical gears

SIR-DCGAN: An Attention-Guided Robust Watermarking Method for Remote Sensing Image Protection Using Deep Convolutional Generative Adversarial Networks.

Autoři: Pan, Shaoliang Yin, Xiaojun Ding, Mingrui a další

Zdroj: Electronics (2079-9292); May2025, Vol. 14 Issue 9, p1853, 27p

Témata: GENERATIVE adversarial networks, DIGITAL watermarking, REMOTE sensing, COPYRIGHT, DATA integrity

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

Learning hierarchical sparse features for RGB-(D) object recognition.

Autoři: Bo, Liefeng Ren, Xiaofeng Fox, Dieter

Zdroj: International Journal of Robotics Research; Apr2014, Vol. 33 Issue 4, p581-599, 19p

Témata: OBJECT recognition (Computer vision), THREE-dimensional imaging, CAMERAS, ARTIFICIAL neural networks, MACHINE learning, ROBOTICS research

Fast shape recognition via a bi-level restraint reduction of contour coding.

Autoři: Li, Zekun Guo, Baolong Meng, Fanjie a další

Zdroj: Visual Computer; Apr2024, Vol. 40 Issue 4, p2599-2614, 16p

Témata: COMPUTER vision, FEATURE extraction, HAMMING distance, HAMMING codes, VISUAL fields, VIDEO coding

Relaxed support vector based dictionary learning for image classification.

Autoři: Song, Jianqiang Liu, Zuozhi Xie, Chaochen a další

Zdroj: Multimedia Tools & Applications; Feb2024, Vol. 83 Issue 5, p12731-12755, 25p

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

Large kernel convolution YOLO for ship detection in surveillance video.

Autoři: Shuaiwen Sun Zhijing Xu

Zdroj: Mathematical Biosciences & Engineering; 2023, Vol. 20 Issue 8, p15018-15043, 26p