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TSMC
2008
99views more  TSMC 2008»
13 years 8 months ago
Robust Regularized Kernel Regression
Robust regression techniques are critical to fitting data with noise in real-world applications. Most previous work of robust kernel regression is usually formulated into a dual fo...
Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu
PKDD
2010
Springer
153views Data Mining» more  PKDD 2010»
13 years 6 months ago
A Robustness Measure of Association Rules
Abstract. We propose a formal definition of the robustness of association rules for interestingness measures. It is a central concept in the evaluation of the rules and has only be...
Yannick Le Bras, Patrick Meyer, Philippe Lenca, St...
EMMCVPR
2009
Springer
13 years 6 months ago
Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration without Correspondence
Determining Euclidean transformations for the robust registration of noisy unstructured point sets is a key problem of model-based computer vision and numerous industrial applicati...
Dirk Breitenreicher, Christoph Schnörr
CVPR
2007
IEEE
14 years 11 months ago
A Robust Warping Method for Fingerprint Matching
This paper presents a robust warping method for minutiae based fingerprint matching approaches. In this method, a deformable fingerprint surface is described using a triangular me...
Dongjin Kwon, Il Dong Yun, Sang Uk Lee
CDC
2008
IEEE
126views Control Systems» more  CDC 2008»
14 years 3 months ago
Design of robust decentralized controllers for drag-free satellite
Abstract— In this paper the problem of designing a decentralized robust controller for a plant describing a dragfree satellite is addressed. From recent experiences in dragfree c...
Lorenzo Pettazzi, Alexander Lanzon, Stephan Theil