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» Shape Priors using Manifold Learning Techniques
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125
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CAGD
2005
138views more  CAGD 2005»
15 years 1 months ago
Harmonic functions for quadrilateral remeshing of arbitrary manifolds
In this paper, we propose a new quadrilateral remeshing method for manifolds of arbitrary genus that is at once general, flexible, and efficient. Our technique is based on the use...
Shen Dong, Scott Kircher, Michael Garland
CVPR
2007
IEEE
16 years 3 months ago
Fiber Tract Clustering on Manifolds With Dual Rooted-Graphs
We propose a manifold learning approach to fiber tract clustering using a novel similarity measure between fiber tracts constructed from dual-rooted graphs. In particular, to gene...
Andy Tsai, Carl-Fredrik Westin, Alfred O. Hero, Al...
ICML
2007
IEEE
16 years 2 months ago
Map building without localization by dimensionality reduction techniques
This paper proposes a new map building framework for mobile robot named Localization-Free Mapping by Dimensionality Reduction (LFMDR). In this framework, the robot map building is...
Takehisa Yairi
148
Voted
NIPS
2008
15 years 3 months ago
Regularized Learning with Networks of Features
For many supervised learning problems, we possess prior knowledge about which features yield similar information about the target variable. In predicting the topic of a document, ...
Ted Sandler, John Blitzer, Partha Pratim Talukdar,...
125
Voted
ECCV
2008
Springer
16 years 3 months ago
View Point Tracking of Rigid Objects Based on Shape Sub-manifolds
We study the task to infer and to track the viewpoint onto a 3D rigid object by observing its image contours in a sequence of images. To this end, we consider the manifold of invar...
Christian Gosch, Ketut Fundana, Anders Heyden, Chr...