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» Computing LTS Regression for Large Data Sets
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CVPR
2009
IEEE
15 years 2 months ago
Nonrigid Shape Recovery by Gaussian Process Regression
Most state-of-the-art nonrigid shape recovery methods usually use explicit deformable mesh models to regularize surface deformation and constrain the search space. These triangu...
Jianke Zhu, Michael R. Lyu, Steven C. H. Hoi
CVPR
2012
IEEE
11 years 10 months ago
Filling large holes in LiDAR data by inpainting depth gradients
We introduce a technique to fill large holes in LiDAR data sets. We combine concepts from patch-based image inpainting and gradient-domain image editing to simultaneously fill b...
David Doria, Richard J. Radke
CVPR
2008
IEEE
14 years 9 months ago
Sparse probabilistic regression for activity-independent human pose inference
Discriminative approaches to human pose inference involve mapping visual observations to articulated body configurations. Current probabilistic approaches to learn this mapping ha...
Raquel Urtasun, Trevor Darrell
DCC
2000
IEEE
14 years 6 days ago
Summary Structures for Frequency Queries on Large Transaction Sets
As large-scale databases become commonplace, there has been signi cant interest in mining them for commercial purposes. One of the basic tasks that underlies many of these mining ...
Dow-Yung Yang, Akshay Johar, Ananth Grama, Wojciec...
CVPR
2011
IEEE
13 years 4 months ago
Real Time Head Pose Estimation with Random Regression Forests
Fast and reliable algorithms for estimating the head pose are essential for many applications and higher-level face analysis tasks. We address the problem of head pose estimation ...
Gabriele Fanelli, Juergen Gall, Luc VanGool