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COMPGEOM
1997
ACM
13 years 8 months ago
Empirical Testing of Algorithms for Variable-Sized Label Placement
We report an empirical comparision of different heuristic techniques for variable-sized pointfeature label placement. This work may not be copied or reproduced in whole or in part...
Jon Christensen, Stacy Friedman, Joe Marks, Stuart...
ISMAR
2003
IEEE
13 years 10 months ago
Evaluating Label Placement for Augmented Reality View Management
View management, a relatively new area of research in Augmented Reality (AR) applications, is about the spatial layout of 2D virtual annotations in the view plane. This paper repr...
Ronald Azuma, Chris Furmanski
GEOINFORMATICA
2002
136views more  GEOINFORMATICA 2002»
13 years 4 months ago
Tabu Search Heuristic for Point-Feature Cartographic Label Placement
The generation of better label placement configurations in maps is a problem that comes up in automated cartographic production. The objective of a good label placement is to displ...
Missae Yamamoto, Gilberto Câmara, Luiz Anton...
CVPR
2012
IEEE
11 years 7 months ago
RGB-(D) scene labeling: Features and algorithms
Scene labeling research has mostly focused on outdoor scenes, leaving the harder case of indoor scenes poorly understood. Microsoft Kinect dramatically changed the landscape, show...
Xiaofeng Ren, Liefeng Bo, Dieter Fox
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
14 years 5 months ago
The offset tree for learning with partial labels
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
Alina Beygelzimer, John Langford