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» A Model Selection Approach for Local Learning
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EGITALY
2006
13 years 10 months ago
Easy Access to Huge 3D Models of Works of Art
Automatic shape acquisition technologies evolved rapidly in recent years, and huge mass of 3D data can be easily produced. The high accuracy of range scanning technology makes the...
Marco Callieri, Federico Ponchio, Paolo Cignoni, R...
ESWA
2008
134views more  ESWA 2008»
13 years 7 months ago
Neighborhood classifiers
K nearest neighbor classifier (K-NN) is widely discussed and applied in pattern recognition and machine learning, however, as a similar lazy classifier using local information for...
Qinghua Hu, Daren Yu, Zongxia Xie
JZUSC
2010
133views more  JZUSC 2010»
13 years 7 months ago
Image driven shape deformation using styles
: In this paper, we propose an image driven shape deformation approach for stylizing a 3D mesh using styles learned from existing 2D illustrations. Our approach models a 2D illustr...
Guang-hua Tan, Wei Chen, Li-gang Liu
QEST
2007
IEEE
14 years 3 months ago
GRIP: Generic Representatives in PRISM
We give an overview of GRIP, a symmetry reduction tool for the probabilistic model checker PRISM, together with experimental results for a selection of example specifications. 1 ...
Alastair F. Donaldson, Alice Miller, David Parker
EMNLP
2008
13 years 10 months ago
Sparse Multi-Scale Grammars for Discriminative Latent Variable Parsing
We present a discriminative, latent variable approach to syntactic parsing in which rules exist at multiple scales of refinement. The model is formally a latent variable CRF gramm...
Slav Petrov, Dan Klein