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CIVR
2004
Springer
117views Image Analysis» more  CIVR 2004»
14 years 1 months ago
Using Maximum Entropy for Automatic Image Annotation
In this paper, we propose the use of the Maximum Entropy approach for the task of automatic image annotation. Given labeled training data, Maximum Entropy is a statistical techniqu...
Jiwoon Jeon, R. Manmatha
ICPR
2006
IEEE
14 years 9 months ago
Image Classification from Generalized Image Distance Features: Application to Detection of Interstitial Disease in Chest Radiogr
One of the most important tasks in medical image analysis is to detect the absence or presence of disease in an image, without having precise delineations of pathology available f...
CVPR
2006
IEEE
14 years 10 months ago
Training Deformable Models for Localization
We present a new method for training deformable models. Assume that we have training images where part locations have been labeled. Typically, one fits a model by maximizing the l...
Deva Ramanan, Cristian Sminchisescu
IWCIA
2009
Springer
14 years 3 months ago
Sub-pixel Segmentation with the Image Foresting Transform
The Image Foresting Transform (IFT) is a framework for image partitioning, commonly used for interactive segmentation. Given an image where a subset of the image elements (seed-poi...
Filip Malmberg, Joakim Lindblad, Ingela Nyströ...
CVPR
2012
IEEE
11 years 10 months ago
Analysis of template aging in iris biometrics
It has been widely believed that biometric template aging does not occur for iris biometrics. We compare the match score distribution for short time-lapse iris image pairs, with a...
Samuel P. Fenker, Kevin W. Bowyer