Alexander P. Topchy
Artificial Intelligence · 2003–2005
A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it; #7,128 of 35,345 by trust here, #16,771 by citations
- Computer Vision and Pattern Recognition — 8 citations into it; #14,528 of 21,575 by trust here, #19,310 by citations
- Molecular Biology — 5 citations into it
Whom Alexander P. Topchy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ana L. N. Fred
- Anil K. Jain
- Alexander Strehl
- Arthur P. Dempster
- Joydeep Ghosh
- Jon M. Kleinberg
- George Karypis
- Michael L. Raymer
- Sandrine Dudoit
- William F. Punch III
Who trusts Alexander P. Topchy overall
- Julia Handl
- Ludmila I. Kuncheva
- Dongkuan Xu
- Xiao-Lei Zhang
- Sandro Vega-Pons
- Joydeep Ghosh
- Xiaoli Z. Fern
- Joshua D. Knowles
- Omer Sagi
- José Valente de Oliveira
Papers from Alexander P. Topchy's perspective
Ordered by how strongly the researchers Alexander P. Topchy trusts endorse each paper. Same corpus, a different order for every researcher.
- Algorithms for Clustering Data
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Data clustering: a review
- Data clustering using evidence accumulation (Object recognition supported by user interaction for service robots)
- Information Theory: 1948-1998 - Guest Editorial
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- ImageNet classification with deep convolutional neural networks
- Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions
- Unsupervised Learning of Finite Mixture Models
- The EM algorithm and extensions
Their papers
- Clustering ensembles: models of consensus and weak partitions (2005) — 718 citations
- A Mixture Model for Clustering Ensembles (2004) — 451 citations
- Combining multiple weak clusterings (2003) — 387 citations