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ICCV
2005
IEEE
15 years 12 months ago
Combining Generative Models and Fisher Kernels for Object Recognition
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
Alex Holub, Max Welling, Pietro Perona
CIKM
2008
Springer
14 years 12 months ago
Classifying networked entities with modularity kernels
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
Dell Zhang, Robert Mao
ESANN
2006
14 years 11 months ago
OnlineDoubleMaxMinOver: a simple approximate time and information efficient online Support Vector Classification method
Abstract. We present the OnlineDoubleMaxMinOver approach to obtain the Support Vectors in two class classification problems. With its linear time complexity and linear convergence ...
Daniel Schneegaß, Thomas Martinetz, Michael ...
ICNC
2005
Springer
15 years 3 months ago
An Incremental Learning Method Based on SVM for Online Sketchy Shape Recognition
This paper presents briefly an incremental learning method based on SVM for online sketchy shape recognition. It can collect all classified results corrected by user and select som...
Zhengxing Sun, Lisha Zhang, Enyi Tang
WWW
2004
ACM
15 years 10 months ago
Online feedback by tests and reporting for elearning and certification programs
The evaluation of eLearning success is an indispensable business requirement of education programs: the easy registration of `visits' to eLearning websites is, however, not s...
Dirk Bade, Georg Nüssel, Gerd Wilts