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CVPR
2010
IEEE
15 years 7 months ago
Online-Batch Strongly Convex Multi Kernel Learning
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...
Francesco Orabona, Jie Luo, Barbara Caputo
VG
2003
15 years 20 days ago
Cell Projection of Convex Polyhedra
Finite element methods commonly use unstructured grids as the computational domain. As a matter of fact, the volume visualization of these unstructured grids is a time consuming t...
Stefan Röttger, Thomas Ertl
IJCAI
1997
15 years 19 days ago
Constraint Satisfaction over Connected Row Convex Constraints
This paper studies constraint satisfaction over connected row-convex (CRC) constraints. It shows that CRC constraints are closed under composition, intersection, and transposition...
Yves Deville, Olivier Barette, Pascal Van Hentenry...
DAGM
2010
Springer
15 years 12 days ago
Exploiting Redundancy for Aerial Image Fusion Using Convex Optimization
Abstract. Image fusion in high-resolution aerial imagery poses a challenging problem due to fine details and complex textures. In particular, color image fusion by using virtual or...
Stefan Kluckner, Thomas Pock, Horst Bischof
PODS
2004
ACM
207views Database» more  PODS 2004»
15 years 11 months ago
Adaptive Sampling for Geometric Problems over Data Streams
Geometric coordinates are an integral part of many data streams. Examples include sensor locations in environmental monitoring, vehicle locations in traffic monitoring or battlefi...
John Hershberger, Subhash Suri