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104
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ESANN
2007
15 years 2 months ago
Kernel-based online machine learning and support vector reduction
We apply kernel-based machine learning methods to online learning situations, and look at the related requirement of reducing the complexity of the learnt classifier. Online meth...
Sumeet Agarwal, V. Vijaya Saradhi, Harish Karnick
98
Voted
DMIN
2006
111views Data Mining» more  DMIN 2006»
15 years 2 months ago
Research on Classification of Printing Fault Using Support Vector Machines
: For the characteristics of malfunction diagnose system a model to classify fault printing based on support vector machines is discussed. The printing malfunctions have many class...
Ye-Li Li, Ya-Li Qi
85
Voted
BC
2008
52views more  BC 2008»
15 years 27 days ago
Population vector code: a geometric universal as actuator
The population vector code relates directional tuning of single cells and global, directional motion incited by an assembly of neurons. In this paper three things are done. First, ...
J. Leo van Hemmen, Andrew B. Schwartz
98
Voted
CCCG
2008
15 years 2 months ago
The Solution Path of the Slab Support Vector Machine
Given a set of points in a Hilbert space that can be separated from the origin. The slab support vector machine (slab SVM) is an optimization problem that aims at finding a slab (...
Joachim Giesen, Madhusudan Manjunath, Michael Eige...
97
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WSCG
2003
174views more  WSCG 2003»
15 years 2 months ago
An Efficient Algorithm for Codebook Design in Transform Vector Quantization
In this paper, a new wavelet-domain codebook design algorithm is proposed for image coding. The method utilizes mean-squared error and variance based selection schemes for good cl...
Momotaz Begum, Nurun Nahar, Kaneez Fatimah, M. K. ...