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ORCIDDIMACS Workshop: Partitioning Data Sets 1993
- Ingemar J. Cox, Pierre Hansen, Béla Julesz:
Partitioning Data Sets, Proceedings of a DIMACS Workshop, Princeton, New Jersey, USA, April 19-21, 1993. DIMACS Series in Discrete Mathematics and Theoretical Computer Science 19, DIMACS/AMS 1995, ISBN 978-0-8218-6606-1 - Foreword. Partitioning Data Sets 1993: ix-
- Preface. Partitioning Data Sets 1993: xi-
Part 1. Cluster Analysis Methods
- Jean-Pierre Barthélemy, Bruno Leclerc:
The Median Procedure for Partitions. 3-34 - Patrice Bertrand:
Structural Properties of Pyramidal Clustering. 35-53 - Weiqing Cai, David W. Matula:
Partitioning by Maximum Adjacency Search of Graphs. 55-63 - Edwin Diday:
From Data to Knowledge: Probabilist Objects for a Symbolic Data Analysis. 65-88 - Sylvie Gélinas, Pierre Hansen, Brigitte Jaumard:
A Labeling Algorithm for Minimum Sum of Diameters Partitioning of Graphs. 89-96 - Wayne Goddard, Ewa M. Kubicka, Grzegorz Kubicki, Fred R. McMorris:
Agreement Subtrees, Metric and Consensus for Labeled Binary Trees. 97-104 - Pierre Hansen, Brigitte Jaumard, Nenad Mladenovic:
How to Choose K Entities Among N. 105-116 - Melvin F. Janowitz, Rudolf Wille:
On the Classification of Monotone-Equivariant Cluster Methods. 117-141 - Fionn Murtagh:
Contiguity-Constrained Hierarchical Clustering. 143-152
Part 2. Target Tracking
- Anil Kumar, Yaakov Bar-Shalom, Eliezer Oron:
Image Segmentation Based on Optimal Layering for Precision Tracking. 155-168 - Aubrey B. Poore:
Multidimensional Assignments and Multitarget Tracking. 169-196
Part 3. Computer Vision
- Ingemar J. Cox, James M. Rehg, Sunita L. Hingorani, Matthew L. Miller:
Grouping Edges: An Efficient Bayesian Multiple Hypothesis Approach. 199-235 - David W. Jacobs:
Finding Salient Convex Groups. 237-269 - Allan D. Jepson, Michael J. Black:
Mixture Models for Optical Flow Computation. 271-286 - Yibing Yang, Alan L. Yuille:
Multilevel Detection of Stereo Disparity Surfaces. 287-309
Part 4. Human Vision
- Irving Biederman:
Some Problems of Visual Shape Recognition to Which the Application of Clustering Mathematics Might Yield Some Potential Benefits. 313-329 - Jacob Feldman:
Perceptual Models of Small Dot Clusters. 331-357 - Béla Julesz:
Subjective Contours in Early Vision and Beyond. 359-371 - Daniel J. Kersten, Suthep Madarasmi:
The Visual Perception of Surfaces, their Properties and Relationships. 373-389 - Steven W. Zucker:
Visual Computations and Dot Cluster. 391-408
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