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PRL
2000
182views more  PRL 2000»
14 years 10 months ago
Bayesian MLP neural networks for image analysis
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Aki Vehtari, Jouko Lampinen
CGF
1998
116views more  CGF 1998»
14 years 10 months ago
A Light Hierarchy for Fast Rendering of Scenes with Many Lights
We introduce a new data structure in the form of a light hierarchy for efficiently ray-tracing scenes with many light sources. An octree is constructed with the point light sourc...
Eric Paquette, Pierre Poulin, George Drettakis
IJRR
2002
87views more  IJRR 2002»
14 years 10 months ago
Complete Path Planning for Closed Kinematic Chains with Spherical Joints
We study the path planning problem, without obstacles, for closed kinematic chains with n links connected by spherical joints in space or revolute joints in the plane. The configu...
Jeffrey C. Trinkle, R. James Milgram
ML
2002
ACM
178views Machine Learning» more  ML 2002»
14 years 10 months ago
Metric-Based Methods for Adaptive Model Selection and Regularization
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Dale Schuurmans, Finnegan Southey
NN
2002
Springer
136views Neural Networks» more  NN 2002»
14 years 10 months ago
Bayesian model search for mixture models based on optimizing variational bounds
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
Naonori Ueda, Zoubin Ghahramani