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IJISTA
2007
124views more  IJISTA 2007»
13 years 8 months ago
Incremental learning for spoken affect classification and its application in call-centres
: This paper introduces a system for real-time incremental learning in a call-centre environment. The classifier used is a Support Vector Machine (SVM) and it is applied to telepho...
Donn Morrison, Ruili Wang, W. L. Xu, Liyanage C. D...
CNSR
2009
IEEE
102views Communications» more  CNSR 2009»
14 years 18 hour ago
Online Classification of Network Flows
Online classification of network traffic is very challenging and still an issue to be solved due to the increase of new applications and traffic encryption. In this paper, we prop...
Mahbod Tavallaee, Wei Lu, Ali A. Ghorbani
CIVR
2006
Springer
128views Image Analysis» more  CIVR 2006»
13 years 12 months ago
Using Topic Concepts for Semantic Video Shots Classification
Automatic semantic classification of video databases is very useful for users searching and browsing but it is a very challenging research problem as well. Combination of visual an...
Stéphane Ayache, Georges Quénot, J&e...
AMS
2007
Springer
250views Robotics» more  AMS 2007»
14 years 4 days ago
SVMs for Vibration-Based Terrain Classification
When an outdoor mobile robot traverses different types of ground surfaces, different types of vibrations are induced in the body of the robot. These vibrations can be used to learn...
Christian Weiss, Matthias Stark, Andreas Zell
ICPR
2010
IEEE
13 years 11 months ago
Underwater Mine Classification with Imperfect Labels
A new algorithm for performing classification with imperfectly labeled data is presented. The proposed approach is motivated by the insight that the average prediction of a group ...
David Williams