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» A Practical Method for the Sparse Resultant
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BMCBI
2010
182views more  BMCBI 2010»
15 years 6 months ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...
ICRA
2009
IEEE
150views Robotics» more  ICRA 2009»
16 years 1 months ago
Flow separation for fast and robust stereo odometry
— Separating sparse flow provides fast and robust stereo visual odometry that deals with nearly degenerate situations that often arise in practical applications. We make use of ...
Michael Kaess, Kai Ni, Frank Dellaert
ICDCS
2005
IEEE
15 years 12 months ago
Resilient Localization for Sensor Networks in Outdoor Environments
The process of computing the physical locations of nodes in a wireless sensor network is known as localization. Selflocalization is critical for large-scale sensor networks becaus...
YoungMin Kwon, Kirill Mechitov, Sameer Sundresh, W...
SIGMOD
1996
ACM
97views Database» more  SIGMOD 1996»
15 years 10 months ago
Bifocal Sampling for Skew-Resistant Join Size Estimation
This paper introduces bifocal sampling, a new technique for estimating the size of an equi-join of two relations. Bifocal sampling classi es tuples in each relation into two group...
Sumit Ganguly, Phillip B. Gibbons, Yossi Matias, A...
BMVC
2002
15 years 8 months ago
Blending Images for Texturing 3D Models
This paper describes a novel system for building seamless texture maps for a surface of arbitrary topology from real images of the object taken with a standard digital camera and ...
Adam Baumberg