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» Applying Support Vector Machines to Imbalanced Datasets
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TREC
2007
15 years 29 days ago
Relaxed Online SVMs in the TREC Spam Filtering Track
Relaxed Online Support Vector Machines (ROSVMs) have recently been proposed as an efficient methodology for attaining an approximate SVM solution for streaming data such as the on...
David Sculley, Gabriel Wachman
IEEEHPCS
2010
14 years 10 months ago
An efficient method for face recognition under illumination variations
An efficient method for face recognition which is robust under illumination variations is proposed. The proposed method achieves the illumination invariants based on the reflectan...
A. Nabatchian, E. Abdel-Raheem, M. Ahmadi
ICMCS
2009
IEEE
186views Multimedia» more  ICMCS 2009»
14 years 9 months ago
Audio chord labeling by musiological modeling and beat-synchronization
Automatic labeling of chords in original audio recordings is challenging due to heavy acoustic overlay by melody and percussion sections, detuning and arpeggios that demand for a ...
Björn Schuller, Benedikt Hörnler, Dejan ...
ICASSP
2011
IEEE
14 years 3 months ago
Deep belief nets for natural language call-routing
This paper considers application of Deep Belief Nets (DBNs) to natural language call routing. DBNs have been successfully applied to a number of tasks, including image, audio and ...
Ruhi Sarikaya, Geoffrey E. Hinton, Bhuvana Ramabha...
ICIP
2006
IEEE
16 years 1 months ago
Estimating Illumination Chromaticity via Kernel Regression
We propose a simple nonparametric linear regression tool, known as kernel regression (KR), to estimate the illumination chromaticity. We design a Gaussian kernel whose bandwidth i...
Vivek Agarwal, Andrei V. Gribok, Andreas Koschan, ...