Mohamed Nadif

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Mohamed Nadif trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Chris H. Q. Ding
2. Inderjit S. Dhillon
3. Ian T. Jolliffe
4. Tao Li
5. Xiaofeng He
6. Alexander Strehl
7. Jingu Kim
8. Michael Collins

Papers from Mohamed Nadif's perspective

Ordered by how strongly the researchers Mohamed Nadif trusts endorse each paper. Same corpus, a different order for every researcher.

1. Algorithms for Non-negative Matrix Factorization
2. Co-clustering documents and words using bipartite spectral graph partitioning (Knowledge Discovery and Data Mining)
3. Convex and Semi-Nonnegative Matrix Factorizations
4. Relation between PLSA and NMF and implications (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
5. K-means clustering via principal component analysis (International Conference on Machine Learning)
6. Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions
7. Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering
8. Indexing by Latent Semantic Analysis
9. On the Equivalence of Nonnegative Matrix Factorization and Spectral Clustering
10. Principal Component Analysis

Their papers

• A Semi-NMF-PCA Unified Framework for Data Clustering (2017) — 76 citations