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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
CVPR
2005
IEEE
16 years 8 months ago
Classification of Contour Shapes Using Class Segment Sets
Both example-based and model-based approaches for classifying contour shapes can encounter difficulties when dealing with classes that have large nonlinear variability, especially...
Kang B. Sun, Boaz J. Super
ICIP
2009
IEEE
16 years 7 months ago
Gender Classification In Uncontrolled Settings Using Additive Logistic Models
Many previous studies have investigated gender classification in well-lit frontal images. In this paper we consider images where the pose, expression and lighting are relatively u...
MCS
2009
Springer
15 years 11 months ago
An Empirical Study of a Linear Regression Combiner on Multi-class Data Sets
The meta-learner MLR (Multi-response Linear Regression) has been proposed as a trainable combiner for fusing heterogeneous baselevel classifiers. Although it has interesting prope...
Chun-Xia Zhang, Robert P. W. Duin
ERCIMDL
2001
Springer
97views Education» more  ERCIMDL 2001»
15 years 10 months ago
Digital Libraries in a Clinical Setting: Friend or Foe?
Abstract. Clinical requirements for quick accessibility to reputable, up-todate information have increased the importance of web accessible digital libraries for this user communit...
Anne Adams, Ann Blandford