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86
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ICMCS
2006
IEEE
121views Multimedia» more  ICMCS 2006»
15 years 6 months ago
Sampling Strategies for Active Learning in Personal Photo Retrieval
With the advent and proliferation of digital cameras and computers, the number of digital photos created and stored by consumers has grown extremely large. This created increasing...
Yi Wu, Igor Kozintsev, Jean-Yves Bouguet, Carole D...
130
Voted
COLT
2010
Springer
14 years 10 months ago
Active Learning on Trees and Graphs
We investigate the problem of active learning on a given tree whose nodes are assigned binary labels in an adversarial way. Inspired by recent results by Guillory and Bilmes, we c...
Nicolò Cesa-Bianchi, Claudio Gentile, Fabio...
114
Voted
PAKDD
2011
ACM
245views Data Mining» more  PAKDD 2011»
14 years 3 months 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
NDSS
2009
IEEE
15 years 7 months ago
K-Tracer: A System for Extracting Kernel Malware Behavior
Kernel rootkits can provide user level-malware programs with the additional capabilities of hiding their malicious activities by altering the legitimate kernel behavior of an oper...
Andrea Lanzi, Monirul I. Sharif, Wenke Lee
ICDCS
2007
IEEE
15 years 7 months ago
Distributed Density Estimation Using Non-parametric Statistics
Learning the underlying model from distributed data is often useful for many distributed systems. In this paper, we study the problem of learning a non-parametric model from distr...
Yusuo Hu, Hua Chen, Jian-Guang Lou, Jiang Li