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» Feature Selection and Effective Classifiers
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TKDE
2008
115views more  TKDE 2008»
13 years 8 months ago
A Niching Memetic Algorithm for Simultaneous Clustering and Feature Selection
Clustering is inherently a difficult task and is made even more difficult when the selection of relevant features is also an issue. In this paper, we propose an approach for simult...
Weiguo Sheng, Xiaohui Liu, Michael C. Fairhurst
IEAAIE
2005
Springer
14 years 2 months ago
Methods for Classifying Spot Welding Processes: A Comparative Study of Performance
Resistance spot welding is an important and widely used method for joining metal objects. In this paper, various classification methods for identifying welding processes are evalua...
Eija Haapalainen, Perttu Laurinen, Heli Junno, Lau...
CVPR
2009
IEEE
15 years 3 months ago
Unsupervised Maximum Margin Feature Selection with Manifold Regularization
Feature selection plays a fundamental role in many pattern recognition problems. However, most efforts have been focused on the supervised scenario, while unsupervised feature s...
Bin Zhao, James Tin-Yau Kwok, Fei Wang, Changshui ...
JMLR
2010
157views more  JMLR 2010»
13 years 3 months ago
Causality Challenge: Benchmarking relevant signal components for effective monitoring and process control
A complex modern manufacturing process is normally under consistent surveillance via the monitoring of signals/variables collected from sensors. However, not all of these signals ...
Michael McCann, Yuhua Li, Liam P. Maguire, Adrian ...
IROS
2007
IEEE
158views Robotics» more  IROS 2007»
14 years 3 months ago
Feature selection in conditional random fields for activity recognition
Abstract— Temporal classification, such as activity recognition, is a key component for creating intelligent robot systems. In the case of robots, classification algorithms mus...
Douglas L. Vail, John D. Lafferty, Manuela M. Velo...