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» Techniques of Cluster Algorithms in Data Mining
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CVPR
2006
IEEE
14 years 10 months ago
Unsupervised Learning of Categories from Sets of Partially Matching Image Features
We present a method to automatically learn object categories from unlabeled images. Each image is represented by an unordered set of local features, and all sets are embedded into...
Kristen Grauman, Trevor Darrell
PVLDB
2010
80views more  PVLDB 2010»
13 years 7 months ago
Using Sentinel Technology in the TARGIT BI Suite
This paper demonstrates so-called sentinels in the TARGIT BI Suite. Sentinels are a novel type of rules that can warn a user if one or more measure changes in a multi-dimensional ...
Morten Middelfart, Torben Bach Pedersen
OSDI
2008
ACM
14 years 9 months ago
Error Log Processing for Accurate Failure Prediction
Error logs are a fruitful source of information both for diagnosis as well as for proactive fault handling ? however elaborate data preparation is necessary to filter out valuable...
Felix Salfner, Steffen Tschirpke
PSB
2003
13 years 10 months ago
Decomposing Gene Expression into Cellular Processes
We propose a probabilistic model for cellular processes, and an algorithm for discovering them from gene expression data. A process is associated with a set of genes that particip...
Eran Segal, Alexis Battle, Daphne Koller
CIKM
2010
Springer
13 years 6 months ago
Discovery of numerous specific topics via term co-occurrence analysis
We describe efficient techniques for construction of large term co-occurrence graphs, and investigate an application to the discovery of numerous fine-grained (specific) topics. A...
Omid Madani, Jiye Yu