Mamadou Diop
2017
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Mamadou Diop trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Mamadou Diop's perspective
Ordered by how strongly the researchers Mamadou Diop trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning the parts of objects by non-negative matrix factorization
- Algorithms for Non-negative Matrix Factorization
- Discovery of optimal factors in binary data via a novel method of matrix decomposition (Journal of computer and system sciences (Print))
- Numerical Recipes: The Art of Scientific Computing
- Eigenfaces for Recognition
- Vector quantization and signal compression
- What Is the Goal of Sensory Coding?
- Optimal degrees of synaptic connectivity
- A global geometric framework for nonlinear dimensionality reduction.
- How does the brain solve visual object recognition?
Their papers
- A post-nonlinear mixture model approach to binary matrix factorization (2017) — 5 citations