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ICML
1999
IEEE
16 years 4 months ago
Machine-Learning Applications of Algorithmic Randomness
Most machine learning algorithms share the following drawback: they only output bare predictions but not the con dence in those predictions. In the 1960s algorithmic information t...
Volodya Vovk, Alexander Gammerman, Craig Saunders
126
Voted
SIGMOD
2002
ACM
154views Database» more  SIGMOD 2002»
16 years 4 months ago
Clustering Validity Checking Methods: Part II
Clustering results validation is an important topic in the context of pattern recognition. We review approaches and systems in this context. In the first part of this paper we pre...
Maria Halkidi, Yannis Batistakis, Michalis Vazirgi...
247
Voted

Source Code
846views
15 years 11 months ago
Supervised Color Image Segmentation in a Markovian Framework
This is the sample implementation of a Markov random field based color image segmentation algorithm described in the following paper: Zoltan Kato, Ting Chuen Pong, and John Chu...
Mihaly Gara, Zoltan Kato
CAIP
2009
Springer
185views Image Analysis» more  CAIP 2009»
15 years 10 months ago
Coarse-to-Fine Tracking of Articulated Objects Using a Hierarchical Spring System
Abstract. Tracking of articulated objects is a challenging task in Computer Vision. A highly target specific model can improve the robustness of the tracking by eliminating or red...
Nicole M. Artner, Adrian Ion, Walter G. Kropatsch
CAIP
2009
Springer
176views Image Analysis» more  CAIP 2009»
15 years 10 months ago
Fast Trilateral Filtering
This paper compares the original implementation of the trilateral filter with two proposed speed improvements. One is using simple look-up-tables, and leads to exactly the same re...
Tobi Vaudrey, Reinhard Klette