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» Learning the structure of manifolds using random projections
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3DPVT
2006
IEEE
197views Visualization» more  3DPVT 2006»
13 years 10 months ago
Structured Light Based Reconstruction under Local Spatial Coherence Assumption
3D scanning techniques based on structured light usually achieve robustness against outliers by performing multiple projections to simplify correspondence. However, for cases such...
Hao Li, Raphael Straub, Hartmut Prautzsch
ICML
2004
IEEE
14 years 9 months ago
Kernel conditional random fields: representation and clique selection
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
John D. Lafferty, Xiaojin Zhu, Yan Liu
ICRA
2009
IEEE
188views Robotics» more  ICRA 2009»
13 years 6 months ago
Onboard contextual classification of 3-D point clouds with learned high-order Markov Random Fields
Contextual reasoning through graphical models such as Markov Random Fields often show superior performance against local classifiers in many domains. Unfortunately, this performanc...
Daniel Munoz, Nicolas Vandapel, Martial Hebert
SP
2006
IEEE
193views Security Privacy» more  SP 2006»
14 years 2 months ago
Analysis of the Linux Random Number Generator
Linux is the most popular open source project. The Linux random number generator is part of the kernel of all Linux distributions and is based on generating randomness from entrop...
Zvi Gutterman, Benny Pinkas, Tzachy Reinman
CVPR
2010
IEEE
14 years 4 months ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr