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NIPS
2004
13 years 10 months ago
Learning Gaussian Process Kernels via Hierarchical Bayes
We present a novel method for learning with Gaussian process regression in a hierarchical Bayesian framework. In a first step, kernel matrices on a fixed set of input points are l...
Anton Schwaighofer, Volker Tresp, Kai Yu
CVPR
2008
IEEE
14 years 10 months ago
Spectral methods for semi-supervised manifold learning
Given a finite number of data points sampled from a low-dimensional manifold embedded in a high dimensional space together with the parameter vectors for a subset of the data poin...
Zhenyue Zhang, Hongyuan Zha, Min Zhang
CORR
2010
Springer
157views Education» more  CORR 2010»
13 years 8 months ago
Efficient Clustering with Limited Distance Information
Given a point set S and an unknown metric d on S, we study the problem of efficiently partitioning S into k clusters while querying few distances between the points. In our model ...
Konstantin Voevodski, Maria-Florina Balcan, Heiko ...
FOCS
2002
IEEE
14 years 1 months ago
Low-Dimensional Linear Programming with Violations
Two decades ago, Megiddo and Dyer showed that linear programming in two and three dimensions (and subsequently any constant number of dimensions) can be solved in linear time. In ...
Timothy M. Chan
CA
1998
IEEE
14 years 26 days ago
Facial Deformations for MPEG-4
The new MPEG-4 standard, scheduled to become an International Standard in February 1999, will include support not only for natural video and audio, but also for synthetic graphics...
Marc Escher, Igor S. Pandzic, Nadia Magnenat-Thalm...