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ICPR
2006
IEEE
16 years 3 months ago
Mixture of Support Vector Machines for HMM based Speech Recognition
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
Sven E. Krüger, Martin Schafföner, Marce...
ICNC
2005
Springer
15 years 8 months ago
Training Data Selection for Support Vector Machines
Abstract. In recent years, support vector machines (SVMs) have become a popular tool for pattern recognition and machine learning. Training a SVM involves solving a constrained qua...
Jigang Wang, Predrag Neskovic, Leon N. Cooper
EMMCVPR
2003
Springer
15 years 7 months ago
Curvature Vector Flow to Assure Convergent Deformable Models for Shape Modelling
Poor convergence to concave shapes is a main limitation of snakes as a standard segmentation and shape modelling technique. The gradient of the external energy of the snake represe...
Debora Gil, Petia Radeva
PR
2006
229views more  PR 2006»
15 years 2 months ago
FS_SFS: A novel feature selection method for support vector machines
In many pattern recognition applications, high-dimensional feature vectors impose a high computational cost as well as the risk of "overfitting". Feature Selection addre...
Yi Liu, Yuan F. Zheng
97
Voted
CGF
2002
103views more  CGF 2002»
15 years 2 months ago
Hardware Accelerated Interactive Vector Field Visualization: A level of detail approach
This paper presents an interactive global visualization technique for dense vector fields using levels of detail. We introduce a novel scheme which combines an error-controlled hi...
Udeepta Bordoloi, Han-Wei Shen