R. R. de Medeiros

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom R. R. de Medeiros trusts overall

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

  1. Marina Meila
  2. Ulrike von Luxburg
  3. Kazufumi Ito
  4. Li Li
  5. Maria Halkidi

Papers from R. R. de Medeiros's perspective

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

  1. Comparing Clusterings by the Variation of Information (Annual Conference Computational Learning Theory)
  2. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
  3. A tutorial on spectral clustering
  4. A Random Walks View of Spectral Segmentation
  5. BIRCH: an efficient data clustering method for very large databases
  6. A parallel way for computing eigenvector sensitivity of asymmetric damped systems with distinct and repeated eigenvalues
  7. Cluster validity methods: part I (SGMD)
  8. Gaussian filters for nonlinear filtering problems (IEEE Transactions on Automatic Control)
  9. Parallel Spectral Clustering in Distributed Systems (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  10. Normalized cuts and image segmentation

Their papers