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» Shape Priors using Manifold Learning Techniques
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CVPR
2009
IEEE
16 years 9 months ago
Shape Classification Through Structured Learning of Matching Measures
Many traditional methods for shape classification involve establishing point correspondences between shapes to produce matching scores, which are in turn used as similarity meas...
Longbin Chen, Julian John McAuley, Rogério ...
100
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UAI
2008
15 years 3 months ago
New Techniques for Algorithm Portfolio Design
We present and evaluate new techniques for designing algorithm portfolios. In our view, the problem has both a scheduling aspect and a machine learning aspect. Prior work has larg...
Matthew J. Streeter, Stephen F. Smith
NPC
2007
Springer
15 years 8 months ago
A Cost-Aware Parallel Workload Allocation Approach Based on Machine Learning Techniques
Parallelism is one of the main sources for performance improvement in modern computing environment, but the efficient exploitation of the available parallelism depends on a number ...
Shun Long, Grigori Fursin, Björn Franke
NIPS
1992
15 years 3 months ago
Explanation-Based Neural Network Learning for Robot Control
How can artificial neural nets generalize better from fewer examples? In order to generalize successfully, neural network learning methods typically require large training data se...
Tom M. Mitchell, Sebastian Thrun
AUIC
2002
IEEE
15 years 6 months ago
The Tinmith System - Demonstrating New Techniques for Mobile Augmented Reality Modelling
This paper presents user interface technology, using a glove based menuing system and 3D interaction techniques. It is designed to support applications that allow users to constru...
Wayne Piekarski, Bruce H. Thomas