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KDD
2010
ACM
224views Data Mining» more  KDD 2010»
15 years 10 months ago
Ensemble pruning via individual contribution ordering
An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...
Zhenyu Lu, Xindong Wu, Xingquan Zhu, Josh Bongard
ECCV
2010
Springer
15 years 9 months ago
Depth-Encoded Hough Voting for joint object detection and shape recovery
Detecting objects, estimating their pose and recovering 3D shape information is a critical problem in many vision and robotics applications. This paper addresses the above needs by...
167
Voted
SDM
2008
SIAM
130views Data Mining» more  SDM 2008»
15 years 8 months ago
Mining Sequence Classifiers for Early Prediction
Supervised learning on sequence data, also known as sequence classification, has been well recognized as an important data mining task with many significant applications. Since te...
Zhengzheng Xing, Jian Pei, Guozhu Dong, Philip S. ...
BMCBI
2008
153views more  BMCBI 2008»
15 years 6 months ago
2DB: a Proteomics database for storage, analysis, presentation, and retrieval of information from mass spectrometric experiments
Background: The amount of information stemming from proteomics experiments involving (multi dimensional) separation techniques, mass spectrometric analysis, and computational anal...
Jens Allmer, Sebastian Kuhlgert, Michael Hippler
SIGKDD
2008
125views more  SIGKDD 2008»
15 years 6 months ago
Incremental pattern discovery on streams, graphs and tensors
Incremental pattern discovery targets streaming applications where the data continuously arrive incrementally. The questions are how to find patterns (main trends) incrementally; ...
Jimeng Sun
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