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ALT
2003
Springer
16 years 3 months ago
Kernel Trick Embedded Gaussian Mixture Model
In this paper, we present a kernel trick embedded Gaussian Mixture Model (GMM), called kernel GMM. The basic idea is to embed kernel trick into EM algorithm and deduce a parameter ...
Jingdong Wang, Jianguo Lee, Changshui Zhang
ECML
2007
Springer
16 years 17 days ago
An Improved Model Selection Heuristic for AUC
Abstract. The area under the ROC curve (AUC) has been widely used to measure ranking performance for binary classification tasks. AUC only employs the classifier’s scores to ra...
Shaomin Wu, Peter A. Flach, Cèsar Ferri Ram...
SIGMETRICS
2010
ACM
173views Hardware» more  SIGMETRICS 2010»
15 years 11 months ago
Channel fragmentation in dynamic spectrum access systems: a theoretical study
Dynamic Spectrum Access systems exploit temporarily available spectrum (‘white spaces’) and can spread transmissions over a number of non-contiguous sub-channels. Such methods...
Edward G. Coffman Jr., Philippe Robert, Florian Si...
ICCV
2009
IEEE
1318views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Non-Local Sparse Models for Image Restoration
We propose in this paper to unify two different ap- proaches to image restoration: On the one hand, learning a basis set (dictionary) adapted to sparse signal descriptions has p...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
CEC
2009
IEEE
16 years 1 months ago
Evolving hypernetwork models of binary time series for forecasting price movements on stock markets
— The paper proposes a hypernetwork-based method for stock market prediction through a binary time series problem. Hypernetworks are a random hypergraph structure of higher-order...
Elena Bautu, Sun Kim, Andrei Bautu, Henri Luchian,...