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CVPR
2007
IEEE
15 years 12 months ago
Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction
Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...
Jianhui Chen, Jieping Ye, Qi Li
ECCV
2008
Springer
15 years 12 months ago
Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features
Abstract. Recently, impressive results have been reported for the detection of objects in challenging real-world scenes. Interestingly however, the underlying models vary greatly e...
Paul Schnitzspan, Mario Fritz, Bernt Schiele
ICPR
2006
IEEE
1292views computer vision» more  ICPR 2006»
15 years 11 months ago
Learning-Based License Plate Detection Using Global and Local Features
This paper proposes a license plate detection algorithm using both global statistical features and local Haar-like features. Classifiers using global statistical features are cons...
Huaifeng Zhang, Qiang Wu, Wenjing Jia, Xiangjian H...
JDCTA
2010
161views more  JDCTA 2010»
14 years 4 months ago
A Globally Consistent Solution to Multiview Image Registration
Multiview image registration is to compute the globally consistent transformations of a sequence of images. Due to various uncertainties, multiview image registration is considere...
Zezhong Xu
AFRIGRAPH
2006
ACM
15 years 4 months ago
Cost prediction for global illumination using a fast rasterised scene preview
The media industry is demanding increasing fidelity for their rendered images. Despite the advent of modern GPUs, the computational requirements of physically based global illumi...
Richard Gillibrand, Peter Longhurst, Kurt Debattis...