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BMCBI
2011
15 years 1 months ago
Learning genetic epistasis using Bayesian network scoring criteria
Background: Gene-gene epistatic interactions likely play an important role in the genetic basis of many common diseases. Recently, machine-learning and data mining methods have be...
Xia Jiang, Richard E. Neapolitan, M. Michael Barma...

Publication
243views
17 years 6 months ago
Enabling Private Continuous Queries For Revealed User Locations
Existing location-based services provide specialized services to their customers based on the knowledge of their exact locations. With untrustworthy servers, location-based service...
Chi-Yin Chow, Mohamed F. Mokbel
CVPR
2007
IEEE
16 years 8 months ago
Two thresholds are better than one
The concept of the Bayesian optimal single threshold is a well established and widely used classification technique. In this paper, we prove that when spatial cohesion is assumed ...
Tao Zhang, Terrance E. Boult, R. C. Johnson
CVPR
2008
IEEE
16 years 8 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
CVPR
2008
IEEE
16 years 8 months ago
Coherent image annotation by learning semantic distance
Conventional approaches to automatic image annotation usually suffer from two problems: (1) They cannot guarantee a good semantic coherence of the annotated words for each image, ...
Tao Mei, Yong Wang, Xian-Sheng Hua, Shaogang Gong,...
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