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» Structured metric learning for high dimensional problems
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ICIP
2009
IEEE
13 years 5 months ago
Fea-Accu cascade for face detection
Aiming at unloading the high training time burden of the popular cascaded classifier, in this paper, a novel cascade structure called Fea-Accu cascade is proposed. In Fea-Accu cas...
Shengye Yan, Shiguang Shan, Xilin Chen, Wen Gao
ATAL
2008
Springer
13 years 9 months ago
Regulating air traffic flow with coupled agents
The ability to provide flexible, automated management of air traffic is critical to meeting the ever increasing needs of the next generation air transportation systems. This probl...
Adrian K. Agogino, Kagan Tumer
ISDA
2008
IEEE
14 years 1 months ago
Combining Clustering and Bayesian Network for Gene Network Inference
Gene network reconstruction is a multidisciplinary research area involving data mining, machine learning, statistics, ontologies and others. Reconstructed gene network allows us t...
Suhaila Zainudin, Safaai Deris
AAAI
2011
12 years 7 months ago
Incorporating Boosted Regression Trees into Ecological Latent Variable Models
Important ecological phenomena are often observed indirectly. Consequently, probabilistic latent variable models provide an important tool, because they can include explicit model...
Rebecca A. Hutchinson, Li-Ping Liu, Thomas G. Diet...
KAIS
2008
150views more  KAIS 2008»
13 years 7 months ago
A survey on algorithms for mining frequent itemsets over data streams
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
James Cheng, Yiping Ke, Wilfred Ng