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» Machine Learning, Machine Vision, and the Brain
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ICCV
2001
IEEE
16 years 6 months ago
Shape Deformation: SVM Regression and Application to Medical Image Segmentation
This paper presents a novel landmark-based shape deformation method. This method effectively solves two problems inherent in landmark-based shape deformation: (a) identification o...
Song Wang, Weiyu Zhu, Zhi-Pei Liang
ICPR
2006
IEEE
16 years 5 months ago
A novel SVM Geometric Algorithm based on Reduced Convex Hulls
Geometric methods are very intuitive and provide a theoretically solid viewpoint to many optimization problems. SVM is a typical optimization task that has attracted a lot of atte...
Michael E. Mavroforakis, Margaritis Sdralis, Sergi...
142
Voted
ICPR
2006
IEEE
16 years 5 months ago
Classification of Team Behaviors in Sports Video Games
This paper considers the application of pattern recognition techniques in modern computer games. Towards the problem of realizing more life-like behavior for artificial game chara...
Christian Thurau, Thomas Hettenhausen, Christian B...
129
Voted
ICPR
2004
IEEE
16 years 5 months ago
Supervised Nonparametric Information Theoretic Classification
In this paper, supervised nonparametric information theoretic classification (ITC) is introduced. Its principle relies on the likelihood of a data sample of transmitting its class...
Cédric Archambeau, Jean-Philippe Thiran, Mi...
ICPR
2008
IEEE
15 years 10 months ago
Signature verification based on fusion of on-line and off-line kernels
The problem of signature verification is considered within the bounds of the kernel-based methodology of pattern recognition, more specifically, SVM principle of machine learning....
Vadim Mottl, Mikhail Lange, Valentina Sulimova, Al...