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FQAS
2004
Springer
126views Database» more  FQAS 2004»
15 years 3 months ago
Cluster Characterization through a Representativity Measure
Clustering is an unsupervised learning task which provides a decomposition of a dataset into subgroups that summarize the initial base and give information about its structure. We ...
Marie-Jeanne Lesot, Bernadette Bouchon-Meunier
PAKDD
2010
ACM
178views Data Mining» more  PAKDD 2010»
15 years 2 months ago
SkyDist: Data Mining on Skyline Objects
The skyline operator is a well established database primitive which is traditionally applied in a way that only a single skyline is computed. In this paper we use multiple skylines...
Christian Böhm, Annahita Oswald, Claudia Plan...
ROBOCUP
2001
Springer
94views Robotics» more  ROBOCUP 2001»
15 years 2 months ago
CS Freiburg: Global View by Cooperative Sensing
Global vision systems as found in the small size league are prohibited in the middle size league. This paper presents methods for creating a global view of the world by cooperative...
Markus Dietl, Jens-Steffen Gutmann, Bernhard Nebel
ECIR
2006
Springer
14 years 11 months ago
Improving Quality of Search Results Clustering with Approximate Matrix Factorisations
Abstract. In this paper we show how approximate matrix factorisations can be used to organise document summaries returned by a search engine into meaningful thematic categories. We...
Stanislaw Osinski
TIP
2008
169views more  TIP 2008»
14 years 9 months ago
Weakly Supervised Learning of a Classifier for Unusual Event Detection
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
Mark Jager, Christian Knoll, Fred A. Hamprecht