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» Experimental perspectives on learning from imbalanced data
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KDD
2008
ACM
181views Data Mining» more  KDD 2008»
15 years 10 months ago
Learning subspace kernels for classification
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
15 years 10 months ago
Sequential cost-sensitive decision making with reinforcement learning
Recently, there has been increasing interest in the issues of cost-sensitive learning and decision making in a variety of applications of data mining. A number of approaches have ...
Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny
ACCV
2007
Springer
15 years 4 months ago
Hierarchical Learning of Dominant Constellations for Object Class Recognition
Abstract. The importance of spatial configuration information for object class recognition is widely recognized. Single isolated local appearance codes are often ambiguous. On the...
Nathan Mekuz, John K. Tsotsos
CIKM
2009
Springer
15 years 4 months ago
Compressing tags to find interesting media groups
On photo sharing websites like Flickr and Zooomr, users are offered the possibility to assign tags to their uploaded pictures. Using these tags to find interesting groups of sem...
Matthijs van Leeuwen, Francesco Bonchi, Börku...
JSA
2007
162views more  JSA 2007»
14 years 9 months ago
Exploration of distributed shared memory architectures for NoC-based multiprocessors
Multiprocessor system-on-chip (MP-SoC) platforms represent an emerging trend for embedded multimedia applications. To enable MP-SoC platforms, scalable communication-centric inter...
Matteo Monchiero, Gianluca Palermo, Cristina Silva...