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» An ICA algorithm for analyzing multiple data sets
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TNN
2008
178views more  TNN 2008»
13 years 9 months ago
IMORL: Incremental Multiple-Object Recognition and Localization
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
Haibo He, Sheng Chen
FLAIRS
2009
13 years 7 months ago
Discovering Anomalies to Multiple Normative Patterns in Structural and Numeric Data
One of the primary issues with traditional anomaly detection approaches is their inability to handle complex, structural data. One approach to this issue involves the detection of...
William Eberle, Lawrence B. Holder
DATAMINE
2006
164views more  DATAMINE 2006»
13 years 9 months ago
Fast Distributed Outlier Detection in Mixed-Attribute Data Sets
Efficiently detecting outliers or anomalies is an important problem in many areas of science, medicine and information technology. Applications range from data cleaning to clinica...
Matthew Eric Otey, Amol Ghoting, Srinivasan Partha...
GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
14 years 1 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
DSN
2006
IEEE
14 years 24 days ago
Empirical and Analytical Evaluation of Systems with Multiple Unreliable Servers
We construct, analyze and solve models of systems where a number of servers offer services to an incoming stream of demands. Each server goes through alternating periods of being ...
Jennie Palmer, Isi Mitrani