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» Adaptive Manifold Learning
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84
Voted
CVGIP
2004
125views more  CVGIP 2004»
14 years 9 months ago
Efficient representation and extraction of 2-manifold isosurfaces using kd-trees
In this paper, we propose the utilization of a kd-tree based hierarchy as an implicit object representation. Compared to an octree, the kd-tree based hierarchy is superior in term...
Alexander Greß, Reinhard Klein
ICMCS
2009
IEEE
97views Multimedia» more  ICMCS 2009»
14 years 7 months ago
Some new directions in graph-based semi-supervised learning
In this position paper, we first review the state-of-the-art in graph-based semi-supervised learning, and point out three limitations that are particularly relevant to multimedia ...
Xiaojin Zhu, Andrew B. Goldberg, Tushar Khot
77
Voted
MICCAI
2007
Springer
15 years 10 months ago
Is a Single Energy Functional Sufficient? Adaptive Energy Functionals and Automatic Initialization
Energy functional minimization is an increasingly popular technique for image segmentation. However, it is far too commonly applied with hand-tuned parameters and initializations t...
Chris McIntosh, Ghassan Hamarneh
89
Voted
CVPR
2007
IEEE
15 years 11 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...
ICCV
2011
IEEE
13 years 9 months ago
Dynamic Manifold Warping for View Invariant Action Recognition
We address the problem of learning view-invariant 3D models of human motion from motion capture data, in order to recognize human actions from a monocular video sequence with arbi...
Dian Gong, Gerard Medioni