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KDD
2005
ACM
205views Data Mining» more  KDD 2005»
15 years 9 months ago
Feature bagging for outlier detection
Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel feature bagging approach for detecting outliers in...
Aleksandar Lazarevic, Vipin Kumar
ICDAR
2003
IEEE
15 years 9 months ago
Features for Word Spotting in Historical Manuscripts
For the transition from traditional to digital libraries, the large number of handwritten manuscripts that exist pose a great challenge. Easy access to such collections requires a...
Toni M. Rath, R. Manmatha
ICPR
2010
IEEE
15 years 9 months ago
Adaptive Feature and Score Level Fusion Strategy Using Genetic Algorithms
Classifier fusion is considered as one of the best strategies for improving performances upon general purpose classification systems. On the other hand, fusion strategy space stro...
Wael Ben Soltana, Mohsen Ardabilian, Liming Chen, ...
ECAI
2008
Springer
15 years 6 months ago
Reinforcement Learning with the Use of Costly Features
In many practical reinforcement learning problems, the state space is too large to permit an exact representation of the value function, much less the time required to compute it. ...
Robby Goetschalckx, Scott Sanner, Kurt Driessens
GIR
2008
ACM
15 years 5 months ago
Geographic features in web search retrieval
We conduct large-scale search engine relevance experiments, using the 12% of queries that contain placenames, matching the placenames to places in the documents, and examining the...
Rosie Jones, Ahmed Hassan, Fernando Diaz