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» Learning the Relative Importance of Features in Image Data
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ACL
2012
13 years 6 months ago
Learning to Temporally Order Medical Events in Clinical Text
We investigate the problem of ordering medical events in unstructured clinical narratives by learning to rank them based on their time of occurrence. We represent each medical eve...
Preethi Raghavan, Albert M. Lai, Eric Fosler-Lussi...
ICPR
2004
IEEE
16 years 5 months ago
Kernel Autoassociator with Applications to Visual Classification
Autoassociator is an important issue in concept learning, and the learned concept of a particular class can be used to distinguish the class from the others. For nonlinear autoass...
Bailing Zhang, Haihong Zhang, Weimin Huang, Zhiyon...
CAIP
2003
Springer
236views Image Analysis» more  CAIP 2003»
15 years 9 months ago
Efficient Algorithm of Eye Image Check for Robust Iris Recognition System
For the improvement of iris recognition system performance, the filtering algorithm that picks out counterfeit and noisy data is very important. In this paper, as a part of preproc...
Jain Jang, Kwiju Kim, Yillbyung Lee
IEICET
2010
207views more  IEICET 2010»
15 years 2 months ago
A Semi-Supervised Approach to Perceived Age Prediction from Face Images
We address the problem of perceived age estimation from face images, and propose a new semi-supervised approach involving two novel aspects. The first novelty is an efficient act...
Kazuya Ueki, Masashi Sugiyama, Yasuyuki Ihara

Publication
151views
13 years 8 months ago
Can faces verify blood-relations?
Humans can verify unknown parent-offspring and sibling pairs over unrelated subject pairs. A computational scheme to accomplish the task robustly, in the presence of challenges due...
Gowri Somanath, Chandra Kambhamettu