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» Regression on manifolds using kernel dimension reduction
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AAAI
2006
13 years 6 months ago
Tensor Embedding Methods
Over the past few years, some embedding methods have been proposed for feature extraction and dimensionality reduction in various machine learning and pattern classification tasks...
Guang Dai, Dit-Yan Yeung
GRC
2010
IEEE
13 years 6 months ago
Learning Multiple Latent Variables with Self-Organizing Maps
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
Lili Zhang, Erzsébet Merényi
WOSP
2010
ACM
14 years 9 days ago
Reducing performance non-determinism via cache-aware page allocation strategies
Performance non-determinism in computer systems complicates evaluation, use, and even development of these systems. In performance evaluation via benchmarking and simulation, nond...
Michal Hocko, Tomás Kalibera