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» Robust Feature Selection Algorithms
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ICDAR
2009
IEEE
13 years 7 months ago
Document Content Extraction Using Automatically Discovered Features
We report an automatic feature discovery method that achieves results comparable to a manually chosen, larger feature set on a document image content extraction problem: the locat...
Sui-Yu Wang, Henry S. Baird, Chang An
ICIP
2007
IEEE
13 years 9 months ago
Robust Road Extraction for High Resolution Satellite Images
Automatic road extraction is a critical feature for an efficient use of remote sensing imagery in most contexts. This paper proposes a robust geometric method to provide a first...
Emmanuel Christophe, Jordi Inglada
RAS
2010
97views more  RAS 2010»
13 years 7 months ago
Repeated auctions for robust task execution by a robot team
We present empirical results of an auction-based algorithm for dynamic allocation of tasks to robots. The results have been obtained both in simulation and using real robots. A di...
Maitreyi Nanjanath, Maria L. Gini
NN
2010
Springer
189views Neural Networks» more  NN 2010»
13 years 4 months ago
Sparse kernel learning with LASSO and Bayesian inference algorithm
Kernelized LASSO (Least Absolute Selection and Shrinkage Operator) has been investigated in two separate recent papers (Gao et al., 2008) and (Wang et al., 2007). This paper is co...
Junbin Gao, Paul W. Kwan, Daming Shi
CVPR
2001
IEEE
14 years 11 months ago
Semi-Dense Stereo Correspondence with Dense Features
We present a new feature based algorithm for stereo correspondence. Most of the previous feature based methods match sparse features like edge pixels, producing only sparse dispar...
Olga Veksler