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ESANN
2007
13 years 9 months ago
Tracking fast changing non-stationary distributions with a topologically adaptive neural network: application to video tracking
In this paper, an original method named GNG-T, extended from GNG-U algorithm by [1] is presented. The method performs continuously vector quantization over a distribution that chan...
Georges Adrian Drumea, Hervé Frezza-Buet
VMV
2003
123views Visualization» more  VMV 2003»
13 years 9 months ago
Using Feature Flow Fields for Topological Comparison of Vector Fields
In this paper we propose a new topology based metric for 2D vector fields. This metric is based on the concept of feature flow fields. We show that it incorporates both the cha...
Holger Theisel, Christian Rössl, Hans-Peter S...
CRV
2005
IEEE
153views Robotics» more  CRV 2005»
14 years 1 months ago
Detecting Abnormal Gait
Analyzing human gait has become popular in computer vision. So far, however, contributions to this topic almost exclusively considered the problem of person identification. In th...
Christian Bauckhage, John K. Tsotsos, Frank E. Bun...
PAKDD
2005
ACM
111views Data Mining» more  PAKDD 2005»
14 years 1 months ago
Training Support Vector Machines Using Greedy Stagewise Algorithm
Abstract. Hard margin support vector machines (HM-SVMs) have a risk of getting overfitting in the presence of the noise. Soft margin SVMs deal with this
Liefeng Bo, Ling Wang, Licheng Jiao
AUSDM
2006
Springer
177views Data Mining» more  AUSDM 2006»
13 years 11 months ago
On The Optimal Working Set Size in Serial and Parallel Support Vector Machine Learning With The Decomposition Algorithm
The support vector machine (SVM) is a wellestablished and accurate supervised learning method for the classification of data in various application fields. The statistical learnin...
Tatjana Eitrich, Bruno Lang