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» Results Merging Algorithm Using Multiple Regression Models
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117
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CIDM
2009
IEEE
15 years 9 months ago
Diversity analysis on imbalanced data sets by using ensemble models
— Many real-world applications have problems when learning from imbalanced data sets, such as medical diagnosis, fraud detection, and text classification. Very few minority clas...
Shuo Wang, Xin Yao
150
Voted
IVC
2008
94views more  IVC 2008»
15 years 2 months ago
Enhanced tracking and recognition of moving objects by reasoning about spatio-temporal continuity
A framework for the logical and statistical analysis and annotation of dynamic scenes containing occlusion and other uncertainties is presented. This framework consists of three e...
Brandon Bennett, Derek R. Magee, Anthony G. Cohn, ...
CEAS
2006
Springer
15 years 6 months ago
Online Discriminative Spam Filter Training
We describe a very simple technique for discriminatively training a spam filter. Our results on the TREC Enron spam corpus would have been the best for the Ham at .1% measure, and...
Joshua Goodman, Wen-tau Yih
135
Voted
ICIAR
2005
Springer
15 years 8 months ago
A Novel Tracking Framework Using Kalman Filtering and Elastic Matching
A novel region-based multiple object tracking framework based on Kalman filtering and elastic matching is proposed. The proposed Kalman filtering-elastic matching model is genera...
Xingzhi Luo, Suchendra M. Bhandarkar
275
Voted

Lecture Notes
742views
17 years 25 days ago
Computer Systems Analysis
Comparing systems using measurement, simulation, and queueing models. Common mistakes and how to avoid them, selection of techniques and metrics, art of data presentation, summariz...
Raj Jain