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KAIS
2010
144views more  KAIS 2010»
13 years 7 months ago
Boosting support vector machines for imbalanced data sets
Real world data mining applications must address the issue of learning from imbalanced data sets. The problem occurs when the number of instances in one class greatly outnumbers t...
Benjamin X. Wang, Nathalie Japkowicz
UIC
2010
Springer
13 years 7 months ago
Extracting Social and Community Intelligence from Digital Footprints: An Emerging Research Area
As a result of the recent explosion of sensor-equipped mobile phone market, the phenomenal growth of Internet and social network users, and the large deployment of sensor network i...
Daqing Zhang, Bin Guo, Bin Li, Zhiwen Yu
CVPR
2011
IEEE
13 years 5 months ago
Extracting and Locating Temporal Motifs in Video Scenes Using a Hierarchical Non Parametric Bayesian Model
In this paper, we present an unsupervised method for mining activities in videos. From unlabeled video sequences of a scene, our method can automatically recover what are the recu...
Ré, mi Emonet, Jagannadan Varadarajan, Jean-Marc ...
NAR
2011
244views Computer Vision» more  NAR 2011»
13 years 3 months ago
PROMISCUOUS: a database for network-based drug-repositioning
The procedure of drug approval is time-consuming, costly and risky. Accidental findings regarding multispecificity of approved drugs led to block-busters in new indication areas. ...
Joachim von Eichborn, Manuela S. Murgueitio, Mathi...
SIGKDD
2010
151views more  SIGKDD 2010»
13 years 3 months ago
Limitations of matrix completion via trace norm minimization
In recent years, compressive sensing attracts intensive attentions in the field of statistics, automatic control, data mining and machine learning. It assumes the sparsity of the ...
Xiaoxiao Shi, Philip S. Yu