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CVPR
2008
IEEE
16 years 2 days ago
Boosting ordinal features for accurate and fast iris recognition
In this paper, we present a novel iris recognition method based on learned ordinal features.Firstly, taking full advantages of the properties of iris textures, a new iris represen...
Zhaofeng He, Zhenan Sun, Tieniu Tan, Xianchao Qiu,...
SARA
2007
Springer
15 years 4 months ago
Computing and Using Lower and Upper Bounds for Action Elimination in MDP Planning
Abstract. We describe a way to improve the performance of MDP planners by modifying them to use lower and upper bounds to eliminate non-optimal actions during their search. First, ...
Ugur Kuter, Jiaqiao Hu
ICIP
2003
IEEE
15 years 3 months ago
Shape metrics, warping and statistics
We propose to use approximations of shape metrics, such as the Hausdorff distance, to define similarity measures between shapes. Our approximations being continuous and different...
Guillaume Charpiat, Olivier D. Faugeras, Renaud Ke...
EUROCOLT
1999
Springer
15 years 2 months ago
Regularized Principal Manifolds
Many settings of unsupervised learning can be viewed as quantization problems — the minimization of the expected quantization error subject to some restrictions. This allows the ...
Alex J. Smola, Robert C. Williamson, Sebastian Mik...
IVCNZ
1998
14 years 11 months ago
Duality Principles in Image Processing and Analysis
Duality is a well-established concept in quantum physics. It formalises the fact that what one observes is not nature in itself, but--in Heisenberg's words--"nature expo...
Luc Florack