Guangming Dong
Control and Systems Engineering · 2011–2015
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 19 citations into it
- Civil and Structural Engineering — 6 citations into it
Whom Guangming Dong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Guangming Dong's perspective
Ordered by how strongly the researchers Guangming Dong trusts endorse each paper. Same corpus, a different order for every researcher.
- The Elements of Statistical Learning
- For most large underdetermined systems of linear equations the minimal 𝓁1‐norm solution is also the sparsest solution
- Atomic Decomposition by Basis Pursuit
- Stable recovery of sparse overcomplete representations in the presence of noise
- Matching pursuits with time-frequency dictionaries
- Non-negative Matrix Factorization with Sparseness Constraints (Journal of machine learning research)
- © Institute of Mathematical Statistics, 2004 LEAST ANGLE REGRESSION
- Regression Shrinkage and Selection via the Lasso
- Simultaneous cartoon and texture image inpainting using morphological component analysis (MCA)
- Sparse coding with an overcomplete basis set: a strategy employed by V1?
Their papers
- Study on Hankel matrix-based SVD and its application in rolling element bearing fault diagnosis (2015) — 151 citations
- Sparse representation based latent components analysis for machinery weak fault detection (2014) — 98 citations
- Weak fault feature extraction of rolling bearing based on cyclic Wiener filter and envelope spectrum (2011) — 146 citations