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» Using Machine Learning to Focus Iterative Optimization
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190
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UAI
2004
15 years 7 months ago
Recovering Articulated Object Models from 3D Range Data
We address the problem of unsupervised learning of complex articulated object models from 3D range data. We describe an algorithm whose input is a set of meshes corresponding to d...
Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang,...
184
Voted
EDBT
2010
ACM
133views Database» more  EDBT 2010»
16 years 1 months ago
FPGAs: a new point in the database design space
In line with the insight that “one size” of databases will not fit all application needs [19], the database community is currently exploring various alternatives to commodity...
René Müller, Jens Teubner
188
Voted
AMR
2007
Springer
154views Multimedia» more  AMR 2007»
16 years 17 days ago
Comparison of Dimension Reduction Methods for Database-Adaptive 3D Model Retrieval
Distance measures, along with shape features, are the most critical components in a shape-based 3D model retrieval system. Given a shape feature, an optimal distance measure will v...
Ryutarou Ohbuchi, Jun Kobayashi, Akihiro Yamamoto,...
169
Voted
GECCO
2007
Springer
481views Optimization» more  GECCO 2007»
16 years 16 days ago
A hybrid PSO/ACO algorithm for classification
In a previous work we have proposed a hybrid Particle Swarm Optimisation/Ant Colony Optimisation (PSO/ACO) algorithm for the discovery of classification rules, in the context of d...
Nicholas Holden, Alex Alves Freitas
186
Voted
CIKM
2010
Springer
15 years 5 months ago
Improved index compression techniques for versioned document collections
Current Information Retrieval systems use inverted index structures for efficient query processing. Due to the extremely large size of many data sets, these index structures are u...
Jinru He, Junyuan Zeng, Torsten Suel