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NIPS
2001
13 years 11 months ago
Categorization by Learning and Combining Object Parts
We describe an algorithm for automatically learning discriminative components of objects with SVM classifiers. It is based on growing image parts by minimizing theoretical bounds ...
Bernd Heisele, Thomas Serre, Massimiliano Pontil, ...
SIP
2001
13 years 11 months ago
Estimation of optical flow for large displacements
In this paper we present a new method to estimate optical flow for large displacements. It is based on prediction of global flow field parameters, performs better than multiresolu...
Torsten Radtke, Horst Salzwedel
SERP
2003
13 years 11 months ago
Performance of Service-Discovery Architectures in Response to Node Failures
Current trends suggest future software systems will rely on service-discovery protocols to combine and recombine distributed services dynamically in reaction to changing condition...
Christopher Dabrowski, Kevin L. Mills, Andrew L. R...
MVA
1996
129views Computer Vision» more  MVA 1996»
13 years 11 months ago
Computation of Optical Flow Using Dynamic Programming
This paper presents an original algorithm for the computation of optical ow called Orthogonal Dynamic Programming (ODP) as well as several enhancements to it. The principle is to ...
Georges Quénot
ERCIMDL
2010
Springer
118views Education» more  ERCIMDL 2010»
13 years 11 months ago
Relevance in Technicolor
In this article we propose the concept of relevance criteria profiles, which provide a global view of user behaviour in judging the relevance of retrieved information. We further p...
Ulises Cerviño Beresi, Yunhyong Kim, Dawei ...