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ICML
2008
IEEE
16 years 7 months ago
Sparse multiscale gaussian process regression
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...
Bernhard Schölkopf, Christian Walder, Kwang I...
CCECE
2009
IEEE
16 years 1 months ago
Inverse data transformation for change detection in wind turbine diagnostics
A complex system is expected to show different nominal behaviors under different conditions, and the deviation over time from these nominal behaviors is an indicator of potential ...
Yanjun Yan, Lisa Ann Osadciw, Glen Benson, Eric Wh...
CCR
2006
114views more  CCR 2006»
15 years 6 months ago
A preliminary performance comparison of five machine learning algorithms for practical IP traffic flow classification
The identification of network applications through observation of associated packet traffic flows is vital to the areas of network management and surveillance. Currently popular m...
Nigel Williams, Sebastian Zander, Grenville J. Arm...
ECCV
2010
Springer
15 years 8 months ago
Optimum Subspace Learning and Error Correction for Tensors
Confronted with the high-dimensional tensor-like visual data, we derive a method for the decomposition of an observed tensor into a low-dimensional structure plus unbounded but spa...
VISUALIZATION
1997
IEEE
15 years 10 months ago
A comparison of normal estimation schemes
The task of reconstructing the derivative of a discrete function is essential for its shading and rendering as well as being widely used in image processing and analysis. We surve...
Torsten Möller, Raghu Machiraju, Klaus Muelle...