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PAKDD
2011
ACM
245views Data Mining» more  PAKDD 2011»
14 years 10 days ago
Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning
Discovering rare categories and classifying new instances of them is an important data mining issue in many fields, but fully supervised learning of a rare class classifier is pr...
Timothy M. Hospedales, Shaogang Gong, Tao Xiang
AAAI
2011
13 years 9 months ago
Stopping Rules for Randomized Greedy Triangulation Schemes
Many algorithms for performing inference in graphical models have complexity that is exponential in the treewidth - a parameter of the underlying graph structure. Computing the (m...
Andrew Gelfand, Kalev Kask, Rina Dechter
ACCV
2010
Springer
14 years 5 months ago
Stream-based Active Unusual Event Detection
We present a new active learning approach to incorporate human feedback for on-line unusual event detection. In contrast to most existing unsupervised methods that perform passiv...
Chen Change Loy, Tao Xiang, Shaogang Gong
ICDE
1998
IEEE
108views Database» more  ICDE 1998»
15 years 11 months ago
Efficient Discovery of Functional and Approximate Dependencies Using Partitions
Discovery of functionaldependencies from relations has been identified as an important database analysis technique. In this paper, we present a new approach for finding functional...
Ykä Huhtala, Juha Kärkkäinen, Pasi ...
SIGMOD
2010
ACM
186views Database» more  SIGMOD 2010»
15 years 2 months ago
Fast approximate correlation for massive time-series data
We consider the problem of computing all-pair correlations in a warehouse containing a large number (e.g., tens of thousands) of time-series (or, signals). The problem arises in a...
Abdullah Mueen, Suman Nath, Jie Liu