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» Using Clustering and Blade Clusters in the Terabyte Task
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71
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DIS
2008
Springer
14 years 10 months ago
Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees
We consider learning tasks where multiple target variables need to be predicted. Two approaches have been used in this setting: (a) build a separate single-target model for each ta...
Beau Piccart, Jan Struyf, Hendrik Blockeel
INFOCOM
2010
IEEE
14 years 8 months ago
URCA: Pulling out Anomalies by their Root Causes
—Traffic anomaly detection has received a lot of attention over recent years, but understanding the nature of these anomalies and identifying the flows involved is still a manu...
Fernando Silveira, Christophe Diot
80
Voted
ISVC
2010
Springer
14 years 8 months ago
Interpolating 3D Diffusion Tensors in 2D Planar Domain by Locating Degenerate Lines
Interpolating diffusion tensor fields is a key technique to visualize the continuous behaviors of biological tissues such as nerves and muscle fibers. However, this has been stil...
Chongke Bi, Shigeo Takahashi, Issei Fujishiro
CVPR
2009
IEEE
16 years 5 months ago
Regularized Multi-Class Semi-Supervised Boosting
Many semi-supervised learning algorithms only deal with binary classification. Their extension to the multi-class problem is usually obtained by repeatedly solving a set of bina...
Amir Saffari, Christian Leistner, Horst Bischof
ICCV
2009
IEEE
16 years 2 months ago
FLoSS: Facility Location for Subspace Segmentation
Subspace segmentation is the task of segmenting data lying on multiple linear subspaces. Its applications in computer vision include motion segmentation in video, structure-from...
Nevena Lazic, Inmar Givoni, Brendan Frey