All Relations between sparse coding and matrix compartment
| Publication | Sentence | Publish Date | Extraction Date | Species |
|---|---|---|---|---|
| Xin Tang, Guo-Can Feng, Xiao-Xin Li, Jia-Xin Ca. Learning Low-Rank Class-Specific Dictionary and Sparse Intra-Class Variant Dictionary for Face Recognition. PloS one. vol 10. issue 11. 2016-06-23. PMID:26571112. | in this paper, we present a novel face recognition framework by utilizing low-rank and sparse error matrix decomposition, and sparse coding techniques (lrse+sc). | 2016-06-23 | 2023-08-13 | human |
| Sima Taheri, Qiang Qiu, Rama Chellapp. Structure-preserving sparse decomposition for facial expression analysis. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol 23. issue 8. 2015-09-29. PMID:24956366. | to incorporate the high-level knowledge regarding expression decomposition and aus, we then perform structure-preserving sparse coding by imposing two layers of grouping over au-dictionary atoms as well as over the test image matrix columns. | 2015-09-29 | 2023-08-13 | Not clear |
| Javier S Turek, Michael Elad, Irad Yavne. Clutter Mitigation in Echocardiography Using Sparse Signal Separation. International journal of biomedical imaging. vol 2015. 2015-07-22. PMID:26199622. | the mca approach assumes that the two signals in the additive mix have each a sparse representation under some dictionary of atoms (a matrix), and separation is achieved by finding these sparse representations. | 2015-07-22 | 2023-08-13 | Not clear |
| Kaveh Abhari, Mahdi Marsousi, Paul Babyn, Javad Alirezai. Medical image denoising using low pass filtering in sparse domain. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. vol 2012. 2013-08-06. PMID:23365845. | a weight matrix is applied to the definition of the sparse coding optimization problem intended to reduce coefficients corresponding to atoms with higher frequency contents, which dominantly represent the image noise. | 2013-08-06 | 2023-08-12 | Not clear |
| Morten Mørup, Lars Kai Hansen, Sidse M Arnfre. Algorithms for sparse nonnegative Tucker decompositions. Neural computation. vol 20. issue 8. 2008-08-11. PMID:18386984. | nonnegative matrix factorization (nmf), in conjunction with sparse coding, has recently been given much attention due to its part-based and easy interpretable representation. | 2008-08-11 | 2023-08-12 | Not clear |