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JMLR
2010
141views more  JMLR 2010»
14 years 11 months ago
Hierarchical Gaussian Process Regression
We address an approximation method for Gaussian process (GP) regression, where we approximate covariance by a block matrix such that diagonal blocks are calculated exactly while o...
Sunho Park, Seungjin Choi
JCAM
2011
78views more  JCAM 2011»
14 years 7 months ago
Symmetric box-splines on root lattices
Root lattices are efficient sampling lattices for reconstructing isotropic signals in arbitrary dimensions, due to their highly symmetric structure. One root lattice, the Cartesia...
Minho Kim, Jörg Peters
220
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CVPR
2012
IEEE
13 years 7 months ago
Fixed-rank representation for unsupervised visual learning
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
Risheng Liu, Zhouchen Lin, Fernando De la Torre, Z...
TVCG
2012
196views Hardware» more  TVCG 2012»
13 years 7 months ago
Ambiguity-Free Edge-Bundling for Interactive Graph Visualization
—Graph visualization has been widely used to understand and present both global structural and local adjacency information in relational datasets (e.g., transportation networks, ...
Sheng-Jie Luo, Chun-Liang Liu, Bing-Yu Chen, Kwan-...
CVPR
2009
IEEE
16 years 12 months ago
Epitomized Priors for Multi-labeling Problems
Image parsing remains difficult due to the need to combine local and contextual information when labeling a scene. We approach this problem by using the epitome as a prior over ...
Jonathan Warrell, Simon J. D. Prince, Alastair P. ...