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CVPR
2005
IEEE
16 years 8 months ago
Robust L1 Norm Factorization in the Presence of Outliers and Missing Data by Alternative Convex Programming
Matrix factorization has many applications in computer vision. Singular Value Decomposition (SVD) is the standard algorithm for factorization. When there are outliers and missing ...
Qifa Ke, Takeo Kanade
ISRR
2001
Springer
105views Robotics» more  ISRR 2001»
15 years 10 months ago
Towards Robust Data Association and Feature Modeling for Concurrent Mapping and Localization
One of the most challenging aspects of concurrent mapping and localization (CML) is the problem of data association. Because of uncertainty in the origins of sensor measurements, i...
John J. Leonard, Paul M. Newman, Richard J. Rikosk...
ICPR
2004
IEEE
16 years 7 months ago
Landscape of Clustering Algorithms
Numerous clustering algorithms, their taxonomies and evaluation studies are available in the literature. Despite the diversity of different clustering algorithms, solutions delive...
Anil K. Jain, Alexander P. Topchy, Martin H. C. La...
PR
2008
169views more  PR 2008»
15 years 6 months ago
A survey of kernel and spectral methods for clustering
Clustering algorithms are a useful tool to explore data structures and have been employed in many disciplines. The focus of this paper is the partitioning clustering problem with ...
Maurizio Filippone, Francesco Camastra, Francesco ...
COR
2004
146views more  COR 2004»
15 years 5 months ago
An exact algorithm for the robust shortest path problem with interval data
The robust deviation shortest path problem with interval data is studied in this paper. After the formulation of the problem in mathematical terms, an exact algorithm, based on a ...
Roberto Montemanni, Luca Maria Gambardella