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» Scaling-Up Support Vector Machines Using Boosting Algorithm
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145
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NIPS
2004
15 years 3 months ago
Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning
We present an algorithm based on convex optimization for constructing kernels for semi-supervised learning. The kernel matrices are derived from the spectral decomposition of grap...
Xiaojin Zhu, Jaz S. Kandola, Zoubin Ghahramani, Jo...
ICIP
2006
IEEE
16 years 4 months ago
Fusion of Geometrical and Texture Information for Facial Expression Recognition
A novel method based on geometrical and texture information is proposed for facial expression recognition from video sequences. The Discriminant Non-negative Matrix Factorization ...
Irene Kotsia, Nikos Nikolaidis, Ioannis Pitas
ICIP
2005
IEEE
15 years 8 months ago
Source camera identification based on CFA interpolation
In this work, we focus our interest on blind source camera identification problem by extending our results in the direction of [1]. The interpolation in the color surface of an im...
Sevinc Bayram, Husrev T. Sencar, Nasir D. Memon, I...
TASLP
2010
105views more  TASLP 2010»
14 years 9 months ago
Non-Negative Tensor Factorization Applied to Music Genre Classification
Music genre classification techniques are typically applied to the data matrix whose columns are the feature vectors extracted from music recordings. In this paper, a feature vecto...
Emmanouil Benetos, Constantine Kotropoulos
136
Voted
PR
2006
111views more  PR 2006»
15 years 2 months ago
An adaptive error penalization method for training an efficient and generalized SVM
A novel training method has been proposed for increasing efficiency and generalization of support vector machine (SVM). The efficiency of SVM in classification is directly determi...
Yiqiang Zhan, Dinggang Shen