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ICCV
2001
IEEE
14 years 9 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
DSMML
2004
Springer
14 years 1 months ago
Can Gaussian Process Regression Be Made Robust Against Model Mismatch?
Learning curves for Gaussian process (GP) regression can be strongly affected by a mismatch between the ‘student’ model and the ‘teacher’ (true data generation process), e...
Peter Sollich
TSMC
2010
13 years 2 months ago
Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
Sheng Chen, Xia Hong, Chris J. Harris
CVPR
2012
IEEE
11 years 10 months ago
Multi-output Laplacian dynamic ordinal regression for facial expression recognition and intensity estimation
Automated facial expression recognition has received increased attention over the past two decades. Existing works in the field usually do not encode either the temporal evolutio...
Ognjen Rudovic, Vladimir Pavlovic, Maja Pantic
ECCV
2008
Springer
14 years 9 months ago
Learning to Localize Objects with Structured Output Regression
Sliding window classifiers are among the most successful and widely applied techniques for object localization. However, training is typically done in a way that is not specific to...
Matthew B. Blaschko, Christoph H. Lampert