Analyzing non-negative matrix factorization for image classification-Reference-Cited by-同舟云学术

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Analyzing non-negative matrix factorization for image classification

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Container-title:Object recognition supported by user interaction for service robots
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Author:

Guillamet D.,Schiele B.,Vitria J.

Publisher

IEEE Comput. Soc

Link

http://xplorestaging.ieee.org/ielx5/8091/22464/01048251.pdf?arnumber=1048251

Cited by 35 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hand Segmentation With Dense Dilated U-Net and Structurally Incoherent Nonnegative Matrix Factorization-Based Gesture Recognition;IEEE Transactions on Human-Machine Systems;2024-06

2. Efficient Nonnegative Matrix Factorization Via Modified Monotone Barzilai-Borwein Method with Adaptive Step Sizes Strategy;Journal of Computational Mathematics;2023-06

3. Analysis of Interpretable Data Representations for 4D-STEM Using Unsupervised Learning;Microscopy and Microanalysis;2022-12-01

4. Sensitivity of Sparse Codes to Image Distortions;Neural Computation;2022-06-16

5. Clusterization of multi-channel electromyograms into muscle-specific activations to drive a subject-specific musculoskeletal model: towards fast and accurate clinical decision-making;2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2021-11-01

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