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ICASSP
2010
IEEE
15 years 6 months ago
Robust regression using sparse learning for high dimensional parameter estimation problems
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
ECCV
1998
Springer
16 years 8 months ago
Robust Registration of Dissimilar Single and Multimodal Images
In this paper, we develop data driven registration algorithms, relying on robust pixel similarity metrics, that enable an accurate (subpixel) rigid registration of dissimilar singl...
Christophoros Nikou, Fabrice Heitz, Jean-Paul Arms...
ICIP
2005
IEEE
16 years 8 months ago
Hybrid recursive energy-based method for robust optical flow on large motion fields
We present a new reliable hybrid recursive method for optical flow estimation. The method efficiently combines the advantage of discrete motion estimation and optical flow estimati...
Jangheon Kim, Thomas Sikora
CDC
2008
IEEE
126views Control Systems» more  CDC 2008»
16 years 1 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
GECCO
2005
Springer
146views Optimization» more  GECCO 2005»
16 years 3 days ago
An empirical study of the robustness of two module clustering fitness functions
Two of the attractions of search-based software engineering (SBSE) derive from the nature of the fitness functions used to guide the search. These have proved to be highly robust...
Mark Harman, Stephen Swift, Kiarash Mahdavi