Ismo Kärkkäinen

International Conference on Pattern Recognition · 2004–2005

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Ismo Kärkkäinen trusts overall

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

  1. Tian Zhang
  2. Peter J. Rousseeuw
  3. Raghu Ramakrishnan

Who trusts Ismo Kärkkäinen overall

  1. Animesh Patcha
  2. Ville Hautamäki

Papers from Ismo Kärkkäinen's perspective

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

  1. Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics)
  2. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
  3. BIRCH: A New Data Clustering Algorithm and Its Applications
  4. Efficient algorithms for mining outliers from large data sets (ACM SIGMOD Conference)
  5. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  6. A comparative study of RNN for outlier detection in data mining (IEEE International Conference on Data Mining. Proceedings)
  7. An Algorithm for Vector Quantizer Design
  8. Outlier Detection Using k-Nearest Neighbour Graph (International Conference on Pattern Recognition)
  9. A k-means clustering algorithm
  10. An Algorithm for Finding Best Matches in Logarithmic Expected Time

Their papers