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PAKDD
2011
ACM
473views Data Mining» more  PAKDD 2011»
14 years 10 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 Hospedales, Shaogang Gong and Tao Xiang
CVPR
2008
IEEE
16 years 6 months ago
Learning and using taxonomies for fast visual categorization
The computational complexity of current visual categorization algorithms scales linearly at best with the number of categories. The goal of classifying simultaneously Ncat = 104 -...
Gregory Griffin, Darya Perona
HICSS
2009
IEEE
147views Biometrics» more  HICSS 2009»
15 years 11 months ago
Determining a Firm's Optimal Outsourcing Rate: A Learning Model Perspective
We present a decision model of a firm’s optimal outsourcing rate as an extension of Cha et. al [1]’s previous work on the economic risk of knowledge loss and deskilling in the...
Hoon S. Cha, David E. Pingry, Matt E. Thatcher
ICPR
2008
IEEE
15 years 11 months ago
Video attention: Learning to detect a salient object sequence
We study video attention by detecting a salient object sequence from video segment. We formulate salient object sequence detection as energy minimization problem in a conditional ...
Tie Liu, Nanning Zheng, Wei Ding, Zejian Yuan
AUSAI
2004
Springer
15 years 9 months ago
Learning the Grammar of Distant Change in the World-Wide Web
One problem many Web users encounter is to keep track of changes of distant Web sources. Push services, informing clients about data changes, are frequently not provided by Web ser...
Dirk Kukulenz