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75
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CVPR
2006
IEEE
16 years 7 days ago
Uncertainty Models in Quasiconvex Optimization for Geometric Reconstruction
Geometric reconstruction problems in computer vision can be solved by minimizing the maximum of reprojection errors, i.e., the L-norm. Unlike L2-norm (sum of squared reprojection ...
Qifa Ke, Takeo Kanade
68
Voted
ICIP
2009
IEEE
14 years 8 months ago
Directionally adaptive super-resolution
In this paper a novel direction adaptive super-resolution (SR) image reconstruction method is proposed. The proposed maximum a-posteriori (MAP) based estimator uses gradient direc...
Emre Turgay, Gozde Bozdagi Akar
96
Voted
ICRA
2007
IEEE
159views Robotics» more  ICRA 2007»
15 years 4 months ago
Combined Trajectory Planning and Gaze Direction Control for Robotic Exploration
— In this paper, a control scheme that combines trajectory planning and gaze direction control for robotic exploration is presented. The objective is to calculate the gaze direct...
Georgios Lidoris, Kolja Kühnlenz, Dirk Wollhe...
83
Voted
ASPDAC
2006
ACM
91views Hardware» more  ASPDAC 2006»
15 years 4 months ago
Fast substrate noise-aware floorplanning with preference directed graph for mixed-signal SOCs
— In this paper, we introduce a novel substrate noise estimation technique during early floorplanning, based on the concept of Block Preference Directed Graph (BPDG) and the cla...
Minsik Cho, Hongjoong Shin, David Z. Pan
87
Voted
ECIR
2010
Springer
14 years 11 months ago
Goal-Driven Collaborative Filtering - A Directional Error Based Approach
Collaborative filtering is one of the most effective techniques for making personalized content recommendation. In the literature, a common experimental setup in the modeling phase...
Tamas Jambor, Jun Wang