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» Regular labelings and geometric structures
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SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
14 years 8 days ago
Semi-Supervised Learning Based on Semiparametric Regularization
Semi-supervised learning plays an important role in the recent literature on machine learning and data mining and the developed semisupervised learning techniques have led to many...
Zhen Guo, Zhongfei (Mark) Zhang, Eric P. Xing, Chr...
AAAI
2012
12 years 1 months ago
Transfer Learning with Graph Co-Regularization
Transfer learning proves to be effective for leveraging labeled data in the source domain to build an accurate classifier in the target domain. The basic assumption behind transf...
Mingsheng Long, Jianmin Wang 0001, Guiguang Ding, ...
SIGKDD
2010
100views more  SIGKDD 2010»
13 years 5 months ago
On exploiting hierarchical label structure with pairwise classifiers
The goal of this work was to test whether the performance of a regular pairwise classifier can be improved when additional information about the hierarchical class structure is ad...
Johannes Fürnkranz, Jan Frederik Sima
ICCV
2005
IEEE
15 years 23 days ago
Geometric Context from a Single Image
Many computer vision algorithms limit their performance by ignoring the underlying 3D geometric structure in the image. We show that we can estimate the coarse geometric propertie...
Derek Hoiem, Alexei A. Efros, Martial Hebert
TOG
2008
143views more  TOG 2008»
13 years 10 months ago
Discovering structural regularity in 3D geometry
We introduce a computational framework for discovering regular or repeated geometric structures in 3D shapes. We describe and classify possible regular structures and present an e...
Mark Pauly, Niloy J. Mitra, Johannes Wallner, Helm...