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ICDM
2007
IEEE
170views Data Mining» more  ICDM 2007»
15 years 4 months ago
Consensus Clusterings
In this paper we address the problem of combining multiple clusterings without access to the underlying features of the data. This process is known in the literature as clustering...
Nam Nguyen, Rich Caruana
IROS
2006
IEEE
152views Robotics» more  IROS 2006»
15 years 3 months ago
Experiments with robust estimation techniques in real-time robot vision
— The goal of this paper is to present an overview of robust estimation techniques with a special focus on robotic vision applications. In this particular context, constraints du...
Ezio Malis, Éric Marchand
ICARCV
2002
IEEE
110views Robotics» more  ICARCV 2002»
15 years 2 months ago
A novel robust method for large numbers of gross errors
In computer vision tasks, it frequently happens that gross noise occupies the absolute majority of the data. Most robust estimators can tolerate no more than 50% gross errors. In ...
Hanzi Wang, David Suter
DCOSS
2010
Springer
15 years 1 months ago
Fast Decentralized Averaging via Multi-scale Gossip
Abstract. We are interested in the problem of computing the average consensus in a distributed fashion on random geometric graphs. We describe a new algorithm called Multi-scale Go...
Konstantinos I. Tsianos, Michael G. Rabbat
ECIR
2007
Springer
14 years 11 months ago
A Hierarchical Consensus Architecture for Robust Document Clustering
Abstract. A major problem encountered by text clustering practitioners is the difficulty of determining a priori which is the optimal text representation and clustering technique f...
Xavier Sevillano, Germán Cobo, Francesc Al&...