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ICRA
2009
IEEE
151views Robotics» more  ICRA 2009»
15 years 11 months ago
Probabilistic estimation of Multi-Level terrain maps
— Recent research has shown that robots can model their world with Multi-Level (ML) surface maps, which utilize ‘patches’ in a 2D grid space to represent various environment ...
Cesar Rivadeneyra, Isaac Miller, Jonathan R. Schoe...
HICSS
2007
IEEE
156views Biometrics» more  HICSS 2007»
15 years 11 months ago
KnowFlow - A Hybrid Approach to Identifying and Visualizing Distributed Knowledge Work Practices
Understanding collaborative work practices represents a critical factor in and a necessary fundament for the development of effective Computer Supported Collaborative Work (CSCW) ...
Markus Strohmaier, Stefanie N. Lindstaedt
CIKM
2007
Springer
15 years 11 months ago
Randomized metric induction and evolutionary conceptual clustering for semantic knowledge bases
We present an evolutionary clustering method which can be applied to multi-relational knowledge bases storing resource annotations expressed in the standard languages for the Sema...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
129
Voted
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
15 years 10 months ago
Combining partitions by probabilistic label aggregation
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
Tilman Lange, Joachim M. Buhmann
SIGMOD
1998
ACM
99views Database» more  SIGMOD 1998»
15 years 9 months ago
CURE: An Efficient Clustering Algorithm for Large Databases
Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clust...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim