Gustavo Rodrigues Lacerda Silva
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
- Artificial Intelligence — 5 citations into it
Whom Gustavo Rodrigues Lacerda Silva trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Marina Meila
- Ulrike von Luxburg
- Kazufumi Ito
- Li Li
- Maria Halkidi
- Martin Ester
- Kaiqi Xiong
- Yujin Hu
- Yannis Batistakis
Papers from Gustavo Rodrigues Lacerda Silva's perspective
Ordered by how strongly the researchers Gustavo Rodrigues Lacerda Silva trusts endorse each paper. Same corpus, a different order for every researcher.
- Comparing Clusterings by the Variation of Information (Annual Conference Computational Learning Theory)
- A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
- A tutorial on spectral clustering
- A Random Walks View of Spectral Segmentation
- BIRCH: an efficient data clustering method for very large databases
- A parallel way for computing eigenvector sensitivity of asymmetric damped systems with distinct and repeated eigenvalues
- Parallel Spectral Clustering in Distributed Systems (IEEE Transactions on Pattern Analysis and Machine Intelligence)
- Cluster validity methods: part I (SGMD)
- Gaussian filters for nonlinear filtering problems (IEEE Transactions on Automatic Control)
- Normalized cuts and image segmentation
Their papers
- CUDA-Based Parallelization of Power Iteration Clustering for Large Datasets (2017) — 6 citations