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ICASSP
2009
IEEE
14 years 1 months ago
Combining VTS model compensation and support vector machines
It is difficult to adapt discriminative classifiers, particularly kernel based ones such as support vector machines (SVMs), to handle mismatches between the training and test da...
Mark J. F. Gales, Federico Flego
IMECS
2007
13 years 7 months ago
Support Vector Machine for Cardiac Beat Detection in Single Lead Electrocardiogram
— Among all ECG components, QRS complex is the most significant feature. Entropy based method for the detection of QRS complexes (cardiac beat) in the single lead Electrocardiogr...
Sarabjeet Singh Mehta, Nitin Shivappa Lingayat
ISMIR
2005
Springer
175views Music» more  ISMIR 2005»
13 years 11 months ago
A Classification Approach to Melody Transcription
Melodies provide an important conceptual summarization of polyphonic audio. The extraction of melodic content has practical applications ranging from content-based audio retrieval...
Graham E. Poliner, Daniel P. W. Ellis
CDC
2009
IEEE
126views Control Systems» more  CDC 2009»
13 years 7 months ago
Support vector machine classifiers for sequential decision problems
Classification problems in critical applications such as health care or security often require very high reliability because of the high costs of errors. In order to achieve this r...
Eladio Rodriguez Diaz, David A. Castaon
ISSRE
2005
IEEE
13 years 12 months ago
A Novel Method for Early Software Quality Prediction Based on Support Vector Machine
The software development process imposes major impacts on the quality of software at every development stage; therefore, a common goal of each software development phase concerns ...
Fei Xing, Ping Guo, Michael R. Lyu