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» Support Vector Machines: Theory and Applications
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BMCBI
2010
224views more  BMCBI 2010»
15 years 6 months ago
An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
Susmita Datta, Vasyl Pihur, Somnath Datta
ISCI
2007
130views more  ISCI 2007»
15 years 5 months ago
Learning to classify e-mail
In this paper we study supervised and semi-supervised classification of e-mails. We consider two tasks: filing e-mails into folders and spam e-mail filtering. Firstly, in a sup...
Irena Koprinska, Josiah Poon, James Clark, Jason C...
ICIP
2010
IEEE
15 years 3 months ago
Combining free energy score spaces with information theoretic kernels: Application to scene classification
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
Manuele Bicego, Alessandro Perina, Vittorio Murino...
WEBI
2007
Springer
16 years 1 days ago
Knowledge Retrieval (KR)
With the ever-increasing growth of data and information, finding the right knowledge becomes a real challenge and an urgent task. Traditional data and information retrieval syste...
Yiyu Yao, Yi Zeng, Ning Zhong, Xiangji Huang
TIFS
2008
149views more  TIFS 2008»
15 years 5 months ago
Using One-Class SVMs and Wavelets for Audio Surveillance
This paper presents a procedure aimed at recognizing environmental sounds for surveillance and security applications. We propose to apply One-Class Support Vector Machines (1-SVMs...
Asma Rabaoui, Manuel Davy, Stéphane Rossign...