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» Consensus group stable feature selection
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KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 5 months ago
Consensus group stable feature selection
Stability is an important yet under-addressed issue in feature selection from high-dimensional and small sample data. In this paper, we show that stability of feature selection ha...
Steven Loscalzo, Lei Yu, Chris H. Q. Ding
KDD
2008
ACM
264views Data Mining» more  KDD 2008»
14 years 5 months ago
Stable feature selection via dense feature groups
Many feature selection algorithms have been proposed in the past focusing on improving classification accuracy. In this work, we point out the importance of stable feature selecti...
Lei Yu, Chris H. Q. Ding, Steven Loscalzo
IPMU
2010
Springer
13 years 9 months ago
A New Adaptive Consensus Reaching Process Based on the Experts' Importance
Usually, in a group decision context, the importance level, confidence degree and amount of knowledge are very different among individuals. So, when all the individuals have to r...
Ignacio J. Pérez, Francisco Javier Cabreriz...
CVPR
2010
IEEE
14 years 4 days ago
Automatic Image Annotation Using Group Sparsity
Automatically assigning relevant text keywords to images is an important problem. Many algorithms have been proposed in the past decade and achieved good performance. Efforts have...
Shaoting Zhang, Junzhou Huang, Yuchi Huang, Yang Y...
DSN
2008
IEEE
13 years 11 months ago
A robust and lightweight stable leader election service for dynamic systems
We describe the implementation and experimental evaluation of a fault-tolerant leader election service for dynamic systems. Intuitively, distributed applications can use this serv...
Nicolas Schiper, Sam Toueg