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ESANN
2006
15 years 8 months ago
Data topology visualization for the Self-Organizing Map
The Self-Organizing map (SOM), a powerful method for data mining and cluster extraction, is very useful for processing data of high dimensionality and complexity. Visualization met...
Kadim Tasdemir, Erzsébet Merényi
209
Voted
SIGMOD
2001
ACM
200views Database» more  SIGMOD 2001»
16 years 6 months ago
Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
Markus M. Breunig, Hans-Peter Kriegel, Peer Kr&oum...
CIMCA
2006
IEEE
15 years 10 months ago
An Improvement in Sugeno-Yasukawa Modeler
Structure identification is one of the most significant steps in Fuzzy modeling of a complex system. Efficient structure identification requires good approximation of the effectiv...
Amir Hossein Hadad, Saeed Shiry Ghidary, Saeed Bag...
CVPR
2005
IEEE
16 years 8 months ago
Learning a Similarity Metric Discriminatively, with Application to Face Verification
We present a method for training a similarity metric from data. The method can be used for recognition or verification applications where the number of categories is very large an...
Sumit Chopra, Raia Hadsell, Yann LeCun
VRST
1997
ACM
15 years 10 months ago
Real-time vision-based camera tracking for augmented reality applications
Augmented reality deals with the problem of dynamically augmenting or enhancing (images or live video of) the real world with computer generated data (e.g., graphics of virtual ob...
Dieter Koller, Gudrun Klinker, Eric Rose, David E....