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SIAMDM
2010
149views more  SIAMDM 2010»
13 years 7 months ago
Formal Theory of Noisy Sensor Network Localization
Graph theory has been used to characterize the solvability of the sensor network localization problem. If sensors correspond to vertices and edges correspond to sensor pairs betwee...
Brian D. O. Anderson, Iman Shames, Guoqiang Mao, B...
GBRPR
2005
Springer
14 years 2 months ago
Pyramids of n-Dimensional Generalized Maps
Graph pyramids are often used for representing irregular image pyramids. For the 2D case, combinatorial pyramids have been recently defined in order to explicitly represent more ...
Carine Grasset-Simon, Guillaume Damiand, Pascal Li...
CVPR
2009
IEEE
1453views Computer Vision» more  CVPR 2009»
15 years 23 days ago
Learning Photometric Invariance From Diversified Color Model Ensembles
Color is a powerful visual cue for many computer vision applications such as image segmentation and object recognition. However, most of the existing color models depend on the i...
Jose M. Alvarez, Theo Gevers, Antonio M. Lopez
ICDAR
2003
IEEE
14 years 1 months ago
ICDAR 2003 Robust Reading Competitions
This paper describes the robust reading competitions for ICDAR 2003. With the rapid growth in research over the last few years on recognizing text in natural scenes, there is an u...
Simon M. Lucas, Alex Panaretos, Luis Sosa, Anthony...
CIKM
2008
Springer
13 years 10 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan