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DATAMINE
2006
127views more  DATAMINE 2006»
13 years 9 months ago
Computing LTS Regression for Large Data Sets
Least trimmed squares (LTS) regression is based on the subset of h cases (out of n) whose least squares t possesses the smallest sum of squared residuals. The coverage h may be se...
Peter Rousseeuw, Katrien van Driessen
APPROX
2011
Springer
197views Algorithms» more  APPROX 2011»
12 years 9 months ago
Periodicity and Cyclic Shifts via Linear Sketches
We consider the problem of identifying periodic trends in data streams. We say a signal a ∈ Rn is p-periodic if ai = ai+p for all i ∈ [n − p]. Recently, Erg¨un et al. [4] pr...
Michael S. Crouch, Andrew McGregor
DCOSS
2011
Springer
12 years 8 months ago
On sensor selection in linked information networks
—Sensor networks are often redundant by design; this is often done in order to achieve reliability in information processing. In many cases, the redundancy relationships between ...
Charu C. Aggarwal, Amotz Bar-Noy, Simon Shamoun
ECCV
2002
Springer
14 years 11 months ago
Learning Shape from Defocus
We present a novel method for inferring three-dimensional shape from a collection of defocused images. It is based on the observation that defocused images are the null-space of ce...
Paolo Favaro, Stefano Soatto
IROS
2009
IEEE
129views Robotics» more  IROS 2009»
14 years 3 months ago
Predicting the navigation performance of underwater vehicles
— In this paper we present a general framework for predicting the positioning uncertainty of underwater vehicles. We apply this framework to common examples from marine robotics:...
Brian Bingham