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» Classifier Selection Based on Data Complexity Measures
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SIGSOFT
2007
ACM
15 years 10 months ago
Training on errors experiment to detect fault-prone software modules by spam filter
The fault-prone module detection in source code is of importance for assurance of software quality. Most of previous fault-prone detection approaches are based on software metrics...
Osamu Mizuno, Tohru Kikuno
CSL
2006
Springer
14 years 10 months ago
Support vector machines for speaker and language recognition
Support vector machines (SVMs) have proven to be a powerful technique for pattern classification. SVMs map inputs into a high dimensional space and then separate classes with a hy...
William M. Campbell, Joseph P. Campbell, Douglas A...
IJCV
2007
113views more  IJCV 2007»
14 years 9 months ago
Vision and Rain
The visual effects of rain are complex. Rain produces sharp intensity changes in images and videos that can severely impair the performance of outdoor vision systems. In this paper...
Kshitiz Garg, Shree K. Nayar
SAC
2010
ACM
15 years 4 months ago
Tracking random finite objects using 3D-LIDAR in marine environments
This paper presents a random finite set theoretic formulation for multi-object tracking as perceived by a 3D-LIDAR in a dynamic environment. It is mainly concerned with the joint...
Kwang Wee Lee, Bharath Kalyan, W. Sardha Wijesoma,...
IQ
2007
14 years 11 months ago
Assessing Information Quality In A RFID-Integrated Shelf Replenishment Decision Support System For The Retail Industry
: Motivated by the problem of out-of-shelf (OOS) in retail industry and the emergence of RFID (Radio Frequency Identification) technology, this paper investigates the impact that t...
Cleopatra Bardaki, Katerina Pramatari