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» Efficient Learning of Relational Object Class Models
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ECAI
2000
Springer
15 years 7 months ago
Learning Classification taxonomies from a classification knowledge based system
Knowledge-based systems (KBS) are not necessarily based on well-defined ontologies. In particular it is possible to build KBS for classification problems, where there is little con...
Hendra Suryanto, Paul Compton
EDBT
2002
ACM
136views Database» more  EDBT 2002»
16 years 3 months ago
The Geometry of Uncertainty in Moving Objects Databases
Abstract. This work addresses the problem of querying moving objects databases. which capture the inherent uncertainty associated with the location of moving point objects. We addr...
Goce Trajcevski, Ouri Wolfson, Fengli Zhang, Sam C...
ICML
2010
IEEE
15 years 4 months ago
Bayesian Multi-Task Reinforcement Learning
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
Alessandro Lazaric, Mohammad Ghavamzadeh
CVPR
2007
IEEE
16 years 5 months ago
Using Segmentation to Verify Object Hypotheses
We present an approach for object recognition that combines detection and segmentation within a efficient hypothesize/test framework. Scanning-window template classifiers are the ...
Deva Ramanan
BIBE
2007
IEEE
124views Bioinformatics» more  BIBE 2007»
15 years 9 months ago
Finding Cancer-Related Gene Combinations Using a Molecular Evolutionary Algorithm
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...
Chan-Hoon Park, Soo-Jin Kim, Sun Kim, Dong-Yeon Ch...