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» Ink recognition based on statistical classification methods
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77
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IPMI
2003
Springer
16 years 15 days ago
Permutation Tests for Classification: Towards Statistical Significance in Image-Based Studies
Abstract. Estimating statistical significance of detected differences between two groups of medical scans is a challenging problem due to the high dimensionality of the data and th...
Polina Golland, Bruce Fischl
81
Voted
CORR
2010
Springer
108views Education» more  CORR 2010»
14 years 9 months ago
Affine Invariant, Model-Based Object Recognition Using Robust Metrics and Bayesian Statistics
We revisit the problem of model-based object recognition for intensity images and attempt to address some of the shortcomings of existing Bayesian methods, such as unsuitable prior...
Vasileios Zografos, Bernard F. Buxton
98
Voted
CSL
2008
Springer
14 years 11 months ago
A stopping criterion for active learning
Active learning (AL) is a framework that attempts to reduce the cost of annotating training material for statistical learning methods. While a lot of papers have been presented on...
Andreas Vlachos
86
Voted
MEDINFO
2007
115views Healthcare» more  MEDINFO 2007»
15 years 1 months ago
Statistical Selector of the Best Multiple ICD-coding Method
The International Classification of Diseases 10th version (ICD-10) is one of the most standard and important disease classifications. Since computerized ICD-10 coding systems have...
Eiji Aramaki, Takeshi Imai, Masayuki Kajino, Kengo...
84
Voted
PAM
2005
Springer
15 years 5 months ago
Self-Learning IP Traffic Classification Based on Statistical Flow Characteristics
A number of key areas in IP network engineering, management and surveillance greatly benefit from the ability to dynamically identify traffic flows according to the applications re...
Sebastian Zander, Thuy T. T. Nguyen, Grenville J. ...