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SSPR
2000
Springer
15 years 10 months ago
The Role of Combining Rules in Bagging and Boosting
To improve weak classifiers bagging and boosting could be used. These techniques are based on combining classifiers. Usually, a simple majority vote or a weighted majority vote are...
Marina Skurichina, Robert P. W. Duin
ALT
2009
Springer
15 years 9 months ago
Learning and Domain Adaptation
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
Yishay Mansour
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
15 years 9 months ago
Tracking multiple objects in non-stationary video
One of the key problems in computer vision and pattern recognition is tracking. Multiple objects, occlusion, and tracking moving objects using a moving camera are some of the chal...
Hoang Nguyen, Bir Bhanu
CIKM
2008
Springer
15 years 8 months ago
Mapping enterprise entities to text segments
Today, valuable business information is increasingly stored as unstructured data (documents, emails, etc.). For example, documents exchanged between business partners capture info...
Falk Brauer, Alexander Löser, Hong-Hai Do
EUROSSC
2008
Springer
15 years 8 months ago
Gaussian Process Person Identifier Based on Simple Floor Sensors
Abstract. This paper describes methods and sensor technology used to identify persons from their walking characteristics. We use an array of simple binary switch floor sensors to d...
Jaakko Suutala, Kaori Fujinami, Juha Röning