Search Results - Online conventional sparse coding

Energy scaling advantages of resistive memory crossbar based computation and its application to sparse coding

Contributors: Aimone, James [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)]

Source: Frontiers in Neuroscience (Online); 9; C

File Description: Medium: ED; Size: 15 p.

Access URL: http://www.osti.gov/scitech/servlets/purl/1236485

On the Sparse Structure of Natural Sounds and Natural Images: Similarities, Differences, and Implications for Neural Coding.

Authors: Dodds, Eric McVoy DeWeese, Michael Robert

Source: Frontiers in Computational Neuroscience; 6/26/2019, pN.PAG-N.PAG, 19p

Subject Terms: NEURAL codes, AUDITORY cortex, LAPLACE distribution, LINEAR network coding, AUDITORY pathways, AUDITORY neurons

Sparse representation based intraframe and semi‐intraframe video coding schemes for low bitrates.

Authors: Irannejad, Maziar Mahdavi‐Nasab, Homayoun

Source: IET Image Processing (Wiley-Blackwell); Apr2021, Vol. 15 Issue 5, p1128-1143, 16p

Dynamic sparse coding for sparse time-series modeling via first-order smooth optimization.

Authors: Kim, Minyoung

Source: Applied Intelligence; Nov2018, Vol. 48 Issue 11, p3889-3901, 13p

Subject Terms: SPARSE graphs, TIME series analysis, MATHEMATICAL statistics, SILHOUETTES, MACHINE learning

Object Recognition Using Tactile Measurements: Kernel Sparse Coding Methods.

Authors: Liu, Huaping Guo, Di Sun, Fuchun

Source: IEEE Transactions on Instrumentation & Measurement; Mar2016, Vol. 65 Issue 3, p656-665, 10p

Subject Terms: OBJECT recognition (Computer vision), ROBOTS, KERNEL operating systems, MEASUREMENT, IMAGE recognition (Computer vision)

Online Convolutive Non-Negative Bases Learning for Speech Enhancement

Authors: Li LI Meng SUN Xiongwei ZHANG et al.

Source: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. 2016, E99.A(8):1609

Wearable Hearing Device Spectral Enhancement Driven by Non-Negative Sparse Coding-Based Residual Noise Reduction

Authors: Seon Man Kim

Source: Sensors, Vol 20, Iss 20, p 5751 (2020)

Subject Terms: hearing device, hearing aid, speech enhancement, Wiener filter, residual noise, non-negative sparse coding, Chemical technology, TP1-1185

File Description: electronic resource

Relation: https://www.mdpi.com/1424-8220/20/20/5751; https://doaj.org/toc/1424-8220

Access URL: https://doaj.org/article/c881c73b7a4e461e92db7a0eb4042950

Visual Tracking via Temporally Smooth Sparse Coding.

Authors: Liu, Ting Wang, Gang Wang, Li et al.

Source: IEEE Signal Processing Letters; Sep2015, Vol. 22 Issue 9, p1452-1456, 5p

Subject Terms: SPARSE approximations, CODING theory, ROBUST control, ACCURACY, PERFORMANCE evaluation

Query-aware sparse coding for web multi-video summarization.

Authors: Ji, Zhong Ma, Yaru Pang, Yanwei et al.

Source: Information Sciences. Apr2019, Vol. 478, p152-166. 15p.

Subject Terms: *STREAMING video & television, VIDEO coding, CONTENT-based image retrieval, MULTIGRAPH, MULTISENSOR data fusion

Genomic prediction in a backcross population using relationship matrices.

Authors: Musa, Abdulraheem A. Klosa, Jan Mayer, Manfred et al.

Source: Archives Animal Breeding / Archiv Tierzucht. 2025, Vol. 68 Issue 2, p377-394. 18p.

Subjects: Locus (Genetics), Prediction models, Genetic testing, Food security, Heritability, Crossbreeding

2025 ACVIM Forum Research Abstract Program.

Source: Journal of Veterinary Internal Medicine. Nov2025, Vol. 39 Issue 6, p1-193. 193p.

Implementation of a Deep Learning System for Detection and Classification of Lumpy Skin Disease in Cattle: Enhancing Precision and Efficiency in Veterinary Diagnostics.

Authors: Pal, Madhumita Behera, Soudamini Mohapatra, Ranjan K. et al.

Source: Veterinary Medicine & Science. Nov2025, Vol. 11 Issue 6, p1-20. 20p.

Subjects: Lumpy skin disease, Deep learning, Ensemble learning, Veterinary clinical pathology, Health of cattle, Transformer models, Machine learning

Integrated Behavioral Profiles of Physical Activity and Dietary Intake in Young Adults and Their Associations with Lower Limb Injury Occurrence.

Authors: Domaradzki, Jarosław¹ (AUTHOR)

Source: Nutrients. Oct2025, Vol. 17 Issue 20, p3196. 17p.

Associations Between Dietary Iron, SNP rs2794720, and Metabolic Syndrome Risk in Chinese Males and Females: A Community-Based Study in a Chinese Metropolis.

Authors: Hu, Zihan Liu, Hongwei Wang, Zhengyuan et al.

Source: Nutrients. Oct2025, Vol. 17 Issue 20, p3185. 14p.

A comprehensive meta-analysis on the efficacy of growth factor enriched cryo-agents in enhancing post-thaw quality of mammalian semen.

Authors: Suyatno, Suyatno Herdis, Herdis Priyatno, Tri Puji et al.

Source: Animal Bioscience. Oct2025, Vol. 38 Issue 10, p2094-2110. 17p.

Supervised Deep Sparse Coding Networks for Image Classification.

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

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

Online structured sparse learning with labeled information for robust object tracking.

Authors: Fan, Baojie Yang Cong Yandong Tang

Source: Journal of Electronic Imaging; Jan/Feb2017, Vol. 26 Issue 1, p1-16, 16p

Subject Terms: COGNITIVE structures, MONTE Carlo method, DATA analysis, IMAGE analysis, COMPUTER vision

BitBrain and Sparse Binary Coincidence (SBC) memories: Fast, robust learning and inference for neuromorphic architectures.

Authors: Hopkins, Michael Fil, Jakub Jones, Edward George et al.

Source: Frontiers in Neuroinformatics; 3/21/2023, Vol. 17, p1-24, 24p

Subject Terms: COINCIDENCE, INFORMATION theory, SUPERVISED learning, COMPUTATIONAL neuroscience, MEMORY

Hierarchical discriminative sparse coding via bidirectional connections

Authors: Luís M. A. Bettencourt Zhengping Ji Wentao Huang et al.

Source: The 2011 International Joint Conference on Neural Networks. :2844-2851

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: http://www.cse.msu.edu/ei/IJCNN_Ji_2011.pdf
https://ieeexplore.ieee.org/document/6033594/
https://dblp.uni-trier.de/db/conf/ijcnn/ijcnn2011.html#JiHKB11
http://ieeexplore.ieee.org/document/6033594/
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000006033594
https://jhu.pure.elsevier.com/en/publications/hierarchical-discriminative-sparse-coding-via-bidirectional-conne

Handling noise in textual image resolution enhancement using online and offline learned dictionaries.

Authors: Walha, Rim Drira, Fadoua Lebourgeois, Frank et al.

Source: International Journal on Document Analysis & Recognition; Jun2018, Vol. 21 Issue 1/2, p137-157, 21p