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CVPR
2008
IEEE
15 years 2 days ago
Selective hidden random fields: Exploiting domain-specific saliency for event classification
Classifying an event captured in an image is useful for understanding the contents of the image. The captured event provides context to refine models for the presence and appearan...
Vidit Jain, Amit Singhal, Jiebo Luo
ICPR
2008
IEEE
14 years 11 months ago
A method of feature selection using contribution ratio based on boosting
AdaBoost and support vector machines (SVM) algorithms are commonly used in the field of object recognition. As classifiers, their classification performance is sensitive to affect...
Masamitsu Tsuchiya, Hironobu Fujiyoshi
ICSE
2009
IEEE-ACM
14 years 4 months ago
Test selection for result inspection via mining predicate rules
It is labor-intensive to manually verify the outputs of a large set of tests that are not equipped with test oracles. Test selection helps to reduce this cost by selecting a small...
Wujie Zheng, Michael R. Lyu, Tao Xie
ICRA
2007
IEEE
115views Robotics» more  ICRA 2007»
14 years 4 months ago
Sensor Selection Using Information Complexity for Multi-sensor Mobile Robot Localization
—Our sensor selection algorithm targets the problem of global self-localization of multi-sensor mobile robots. The algorithm builds on the probabilistic reasoning using Bayes fil...
Sreenivas R. Sukumar, Hamparsum Bozdogan, David L....
COMSWARE
2006
IEEE
14 years 4 months ago
Spread-based heuristic for sensor selection in sensor networks
In this paper we propose a method for selecting an appropriate subset of sensors with a view to minimize estimation error while tracking a target with sensors spread across in a 2...
Vaishali P. Sadaphal, Bijendra N. Jain