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COLING
2010
14 years 4 months ago
A Comparison of Models for Cost-Sensitive Active Learning
Active Learning (AL) is a selective sampling strategy which has been shown to be particularly cost-efficient by drastically reducing the amount of training data to be manually ann...
Katrin Tomanek, Udo Hahn
CSL
2010
Springer
14 years 8 months ago
Voice activity detection based on statistical models and machine learning approaches
The voice activity detectors (VADs) based on statistical models have shown impressive performances especially when fairly precise statistical models are employed. Moreover, the ac...
Jong Won Shin, Joon-Hyuk Chang, Nam Soo Kim
PAMI
2007
137views more  PAMI 2007»
14 years 9 months ago
Biometrics from Brain Electrical Activity: A Machine Learning Approach
—The potential of brain electrical activity generated as a response to a visual stimulus is examined in the context of the identification of individuals. Specifically, a framewor...
Ramaswamy Palaniappan, Danilo P. Mandic
ICPR
2010
IEEE
14 years 8 months ago
Scene-Adaptive Human Detection with Incremental Active Learning
In many computer vision tasks, scene changes hinder the generalization ability of trained classifiers. For instance, a human detector trained with one set of images is unlikely t...
Ajay Joshi, Fatih Porikli
ECTEL
2006
Springer
15 years 1 months ago
Is There a Way to e-Bologna? Cross-National Collaborative Activities in University Courses
This article describes a study of distance collaborative activities that have been conducted in a cross-national setting between a Greek and a German university. We discuss issues ...
Andreas Harrer, Georgios Kahrimanis, Sam Zeini, La...