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» Making generative classifiers robust to selection bias
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MICCAI
2004
Springer
15 years 10 months ago
Automatic Segmentation of Neonatal Brain MRI
This paper describes an automatic tissue segmentation method for neonatal MRI. The analysis and study of neonatal brain MRI is of great interest due to its potential for studying e...
Marcel Prastawa, John H. Gilmore, Weili Lin, Guido...
DICTA
2003
14 years 11 months ago
Face Recognition Based on Multiple Region Features
For face recognition, face feature selection is an important step. Better features should result in better performance. This paper describes a robust face recognition algorithm usi...
Jiaming Li, Geoff Poulton, Ying Guo, Rong-yu Qiao
APIN
2004
116views more  APIN 2004»
14 years 9 months ago
Neural Learning from Unbalanced Data
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
Yi Lu Murphey, Hong Guo, Lee A. Feldkamp
VISUAL
2000
Springer
15 years 1 months ago
Shape Description for Content-Based Image Retrieval
Abstract. The present work is focused on a global image characterization based on a description of the 2D displacements of the different shapes present in the image, which can be e...
Edoardo Ardizzone, Antonio Chella, Roberto Pirrone
IRFC
2011
Springer
14 years 1 months ago
Word Clouds of Multiple Search Results
Search engine result pages (SERPs) are known as the most expensive real estate on the planet. Most queries yield millions of organic search results, yet searchers seldom look beyon...
Rianne Kaptein, Jaap Kamps