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SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
13 years 12 months ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson
ALENEX
2009
172views Algorithms» more  ALENEX 2009»
13 years 3 months ago
Rank Aggregation: Together We're Strong
We consider the problem of finding a ranking of a set of elements that is "closest to" a given set of input rankings of the elements; more precisely, we want to find a p...
Frans Schalekamp, Anke van Zuylen
IWQOS
2005
Springer
13 years 10 months ago
A High-Throughput Overlay Multicast Infrastructure with Network Coding
Network coding has been recently proposed in information theory as a new dimension of the information multicast problem that helps achieve optimal transmission rate or cost. End ho...
Mea Wang, Zongpeng Li, Baochun Li
ACIVS
2008
Springer
13 years 11 months ago
"Local Rank Differences" Image Feature Implemented on GPU
A currently popular trend in object detection and pattern recognition is usage of statistical classifiers, namely AdaBoost and its modifications. The speed performance of these cla...
Lukás Polok, Adam Herout, Pavel Zemcí...
ICVGIP
2008
13 years 6 months ago
Implementation of the "Local Rank Differences" Image Feature Using SIMD Instructions of CPU
Usage of statistical classifiers, namely AdaBoost and its modifications, in object detection and pattern recognition is a contemporary and popular trend. The computatiponal perfor...
Adam Herout, Pavel Zemcík, Roman Jurá...