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» Classes and clusters in data analysis
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CCGRID
2003
IEEE
15 years 12 months ago
Using grid technologies to face medical image analysis challenges
The availability of digital imagers inside hospitals and their ever growing inspection capabilities have established digital medical images as a key component of many pathologies ...
Johan Montagnat, Vincent Breton, Isabelle E. Magni...
DRR
2009
15 years 4 months ago
Using synthetic data safely in classification
When is it safe to use synthetic data in supervised classification? Trainable classifier technologies require large representative training sets consisting of samples labeled with...
Jean Nonnemaker, Henry Baird
TNN
2010
127views Management» more  TNN 2010»
15 years 1 months ago
RAMOBoost: ranked minority oversampling in boosting
In recent years, learning from imbalanced data has attracted growing attention from both academia and industry due to the explosive growth of applications that use and produce imba...
Sheng Chen, Haibo He, Edwardo A. Garcia
SPIESR
2004
118views Database» more  SPIESR 2004»
15 years 8 months ago
New method for visual descriptor evaluation
Evaluation in visual information retrieval is usually performed by executing test queries and calculating recall and precision based on predefined media collections and ground tru...
Horst Eidenberger
IV
2007
IEEE
160views Visualization» more  IV 2007»
16 years 29 days ago
Targeted Projection Pursuit for Interactive Exploration of High- Dimensional Data Sets
High-dimensional data is, by its nature, difficult to visualise. Many current techniques involve reducing the dimensionality of the data, which results in a loss of information. ...
Joe Faith