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ICML
2006
IEEE
16 years 1 months ago
Regression with the optimised combination technique
We consider the sparse grid combination technique for regression, which we regard as a problem of function reconstruction in some given function space. We use a regularised least ...
Jochen Garcke
74
Voted
NIPS
2007
15 years 1 months ago
Multi-task Gaussian Process Prediction
In this paper we investigate multi-task learning in the context of Gaussian Processes (GP). We propose a model that learns a shared covariance function on input-dependent features...
Edwin V. Bonilla, Kian Ming Chai, Christopher K. I...
IJCV
1998
103views more  IJCV 1998»
15 years 21 hour ago
Dense Non-Rigid Motion Estimation in Sequences of Medical Images Using Differential Constraints
We describe a new method for computing the displacement vector field in time sequences of 2D or 3D images (4D data). The method is energy-minimizing on the space of correspondence...
Serge Benayoun, Nicholas Ayache
118
Voted
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
16 years 23 days ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
106
Voted
PODS
2012
ACM
281views Database» more  PODS 2012»
13 years 2 months ago
Mergeable summaries
We study the mergeability of data summaries. Informally speaking, mergeability requires that, given two summaries on two data sets, there is a way to merge the two summaries into ...
Pankaj K. Agarwal, Graham Cormode, Zengfeng Huang,...