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116
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DMIN
2008
176views Data Mining» more  DMIN 2008»
15 years 5 months ago
Multi-Class SVM for Large Data Sets Considering Models of Classes Distribution
Support Vector Machines (SVM) have gained profound interest amidst the researchers. One of the important issues concerning SVM is with its application to large data sets. It is rec...
Jair Cervantes, Xiaoou Li, Wen Yu
127
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ECCV
2010
Springer
15 years 4 months ago
Towards Computational Models of Visual Aesthetic Appeal of Consumer Videos
In this paper, we tackle the problem of characterizing the aesthetic appeal of consumer videos and automatically classifying them into high or low aesthetic appeal. First, we condu...
141
Voted
ICCTA
2007
IEEE
15 years 3 months ago
Digital Signal Types Identification Using a Hierarchical SVM-Based Classifier and Efficient Features
Automatic digital signal type identification (ADSTI) is an important topic for both military and civilian communication applications. Most of proposed techniques (identifiers) can...
Ataollah Ebrahimzadeh, Seyed Alireza Seyedin
138
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ICPR
2004
IEEE
16 years 4 months ago
Direct Condensing: An Efficient Voronoi Condensing Algorithm for Nearest Neighbor Classifiers
Voronoi condensing reduces training patterns of nearest neighbor classifiers without changing the classification boundaries. This method plays important roles not only in the near...
Takekazu Kato, Toshikazu Wada
141
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TIFS
2008
149views more  TIFS 2008»
15 years 3 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...