Results 151 to 160 of about 7,904 (176)
Some of the next articles are maybe not open access.
Journal of Global Optimization, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rundong Du +3 more
openaire +2 more sources
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rundong Du +3 more
openaire +2 more sources
2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
In this paper, the problem of electrodes shift is studied in low-density surface electromyographic (sEMG) based prosthetic control with the proposed Sliding Window Nonnegative Matrix Factorization (SW-NMF) algorithm. By artificially switching the electrode positions clockwise for π/8, the 8 channel sEMG signals of 10 gestures were recorded before and ...
Zhien Xian +4 more
openaire +1 more source
In this paper, the problem of electrodes shift is studied in low-density surface electromyographic (sEMG) based prosthetic control with the proposed Sliding Window Nonnegative Matrix Factorization (SW-NMF) algorithm. By artificially switching the electrode positions clockwise for π/8, the 8 channel sEMG signals of 10 gestures were recorded before and ...
Zhien Xian +4 more
openaire +1 more source
2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA), 2017
With the ever growing collection of large volumes of scientific data, development of interpretable machine learning tools to analyze such data is becoming more important. However, robust, interpretable machine learning tools are lacking, threatening extraction of scientific insight and discovery.
Shashanka Ubaru +2 more
openaire +1 more source
With the ever growing collection of large volumes of scientific data, development of interpretable machine learning tools to analyze such data is becoming more important. However, robust, interpretable machine learning tools are lacking, threatening extraction of scientific insight and discovery.
Shashanka Ubaru +2 more
openaire +1 more source
Adaptive computation of the Symmetric Nonnegative Matrix Factorization (NMF)
2018Nonnegative Matrix Factorization (NMF), first proposed in 1994 for data analysis, has received successively much attention in a great variety of contexts such as data mining, text clustering, computer vision, bioinformatics, etc. In this paper the case of a symmetric matrix is considered and the symmetric nonnegative matrix factorization (SymNMF) is ...
P. Favati (1) +3 more
openaire +1 more source
SAR Images Clustering Based on Modified Nonlinear Orthogonal Nonnegative Matrix Factorization (NMF)
2023 31st International Conference on Electrical Engineering (ICEE), 2023Mahdi Jowkar Dehouei +2 more
openaire +1 more source
Generalized Separable Nonnegative Matrix Factorization
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Junjun Pan, Nicolas Gillis
exaly
Robust semi-supervised nonnegative matrix factorization for image clustering
Pattern Recognition, 2021Siyuan Peng, Badong Chen, Zhiping Lin
exaly
Nonnegative Matrix Factorization: A Comprehensive Review
IEEE Transactions on Knowledge and Data Engineering, 2013Yu-Jin Zhang
exaly
Robust Manifold Nonnegative Matrix Factorization
ACM Transactions on Knowledge Discovery From Data, 2014Feiping Nie
exaly
Constrained Nonnegative Matrix Factorization for Image Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012Haifeng Liu, Deng Cai, Xuelong Li
exaly

