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ECML
1993
Springer
14 years 1 months ago
Getting Order Independence in Incremental Learning
It is empirically known that most incremental learning systems are order dependent, i.e. provide results that depend on the particular order of the data presentation. This paper ai...
Antoine Cornuéjols
CVPR
2006
IEEE
14 years 11 months ago
Model Order Selection and Cue Combination for Image Segmentation
Model order selection and cue combination are both difficult open problems in the area of clustering. In this work we build upon stability-based approaches to develop a new method...
Andrew Rabinovich, Serge Belongie, Tilman Lange, J...
RSEISP
2007
Springer
14 years 3 months ago
Interpreting Low and High Order Rules: A Granular Computing Approach
The main objective of this paper is to provide a granular computing based interpretation of rules representing two levels of knowledge. This is done by adopting and adapting the de...
Yiyu Yao, Bing Zhou, Yaohua Chen
WBIR
2010
SPRINGER
14 years 28 days ago
Continuity Order of Local Displacement in Volumetric Image Sequence
Abstract. We introduce a method for volumetric cardiac motion analysis using variational optical flow computation involving the prior with the fractional order differentiations. ...
Koji Kashu, Yusuke Kameda, Masaki Narita, Atsushi ...
COMPGEOM
2005
ACM
13 years 11 months ago
Abstract order type extension and new results on the rectilinear crossing number
Order Type Extension and New Results ectilinear Crossing Number - Extended Abstract Oswin Aichholzer∗ Hannes Krasser† We provide a complete data base of all realizable order t...
Oswin Aichholzer, Hannes Krasser