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» Covariant Derivatives and Vision
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ICML
2008
IEEE
14 years 9 months ago
Boosting with incomplete information
In real-world machine learning problems, it is very common that part of the input feature vector is incomplete: either not available, missing, or corrupted. In this paper, we pres...
Feng Jiao, Gholamreza Haffari, Greg Mori, Shaojun ...
ICML
2003
IEEE
14 years 9 months ago
Unsupervised Learning with Permuted Data
We consider the problem of unsupervised learning from a matrix of data vectors where in each row the observed values are randomly permuted in an unknown fashion. Such problems ari...
Sergey Kirshner, Sridevi Parise, Padhraic Smyth
ISBI
2008
IEEE
14 years 9 months ago
DTI registration with exact finite-strain differential
We propose an algorithm for the diffeomorphic registration of diffusion tensor images (DTI). Previous DTI registration algorithms using full tensor information suffer from difficu...
B. T. Thomas Yeo, Tom Vercauteren, Pierre Fillard,...
ICIAP
2003
ACM
14 years 8 months ago
Old fashioned state-of-the-art image classification
In this paper we present a statistical learning scheme for image classification based on a mixture of old fashioned ideas and state of the art learning tools. We represent input i...
Annalisa Barla, Francesca Odone, Alessandro Verri
KSEM
2009
Springer
14 years 3 months ago
On Optimization of Predictions in Ontology-Driven Situation Awareness
Systems supporting situation awareness in large-scale control systems, such as, e. g., encountered in the domain of road traffic management, pursue the vision of allowing human ope...
Norbert Baumgartner, Wolfgang Gottesheim, Stefan M...