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» Data selection for support vector machine classifiers
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AVSS
2007
IEEE
15 years 4 months ago
Improved one-class SVM classifier for sounds classification
This paper proposes to apply optimized One-Class Support Vector Machines (1-SVMs) as a discriminative framework in order to address a specific audio classification problem. Firs...
Asma Rabaoui, Manuel Davy, Stéphane Rossign...
CVPR
2005
IEEE
15 years 12 months ago
Detecting Doctored Images Using Camera Response Normality and Consistency
The advance in image/video editing techniques has facilitated people in synthesizing realistic images/videos that may hard to be distinguished from real ones by visual examination...
Zhouchen Lin, Rongrong Wang, Xiaoou Tang, Heung-Ye...
TNN
2008
124views more  TNN 2008»
14 years 9 months ago
Just-in-Time Adaptive Classifiers - Part II: Designing the Classifier
Aging effects, environmental changes, thermal drifts, and soft and hard faults affect physical systems by changing their nature and behavior over time. To cope with a process evolu...
Cesare Alippi, Manuel Roveri
ML
2008
ACM
248views Machine Learning» more  ML 2008»
14 years 10 months ago
Feature selection via sensitivity analysis of SVM probabilistic outputs
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...
ICIAP
2009
ACM
15 years 10 months ago
A New Generative Feature Set Based on Entropy Distance for Discriminative Classification
Abstract. Score functions induced by generative models extract fixeddimensions feature vectors from different-length data observations by subsuming the process of data generation, ...
Alessandro Perina, Marco Cristani, Umberto Castell...