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TMI
2008
141views more  TMI 2008»
13 years 8 months ago
Fast Noise Reduction in Computed Tomography for Improved 3-D Visualization
Computed tomography (CT) has a trend towards higher resolution and higher noise. This development has increased the interest in anisotropic smoothing techniques for CT, which aim t...
Michiel Schaap, Arnold M. R. Schilham, Karel J. Zu...
BMCBI
2006
110views more  BMCBI 2006»
13 years 8 months ago
Bias in error estimation when using cross-validation for model selection
Background: Cross-validation (CV) is an effective method for estimating the prediction error of a classifier. Some recent articles have proposed methods for optimizing classifiers...
Sudhir Varma, Richard Simon
ICDM
2006
IEEE
100views Data Mining» more  ICDM 2006»
14 years 2 months ago
Meta Clustering
Clustering is ill-defined. Unlike supervised learning where labels lead to crisp performance criteria such as accuracy and squared error, clustering quality depends on how the cl...
Rich Caruana, Mohamed Farid Elhawary, Nam Nguyen, ...
ICCV
2005
IEEE
14 years 2 months ago
TemporalBoost for Event Recognition
This paper contributes a new boosting paradigm to achieve detection of events in video. Previous boosting paradigms in vision focus on single frame detection and do not scale to v...
Paul Smith, Niels da Vitoria Lobo, Mubarak Shah
ESWA
2002
93views more  ESWA 2002»
13 years 8 months ago
Image mining by content
Image mining presents special characteristics due to the richness of the data that an image can show. Effective evaluation of the results of image mining by content requires that ...
Aura Conci, Everest Mathias M. M. Castro