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ICCV
2007
IEEE
16 years 9 months ago
Semi-supervised Discriminant Analysis
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. The projection vectors are commonly obtained by maximizing ...
Deng Cai, Xiaofei He, Jiawei Han
ICCV
2001
IEEE
16 years 9 months ago
Robust Principal Component Analysis for Computer Vision
Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance, and motion. One drawback of typical PCA methods is that they are least squares...
Fernando De la Torre, Michael J. Black
ICCV
2001
IEEE
16 years 9 months ago
Error Analysis of Pure Rotation-Based Self-Calibration
Self-calibration using pure rotation is a well-known technique and has been shown to be a reliable means for recovering intrinsic camera parameters. However, in practice, it is vir...
Leslie Wang, Sing Bing Kang, Heung-Yeung Shum, Gua...
ICIP
2006
IEEE
16 years 9 months ago
An Approach for Intersubject Analysis of 3D Brain Images Based on Conformal Geometry
Recent advances in imaging technologies, such as Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET) and Diffusion Tensor Imaging (DTI) have accelerated brain res...
Guangyu Zou, Jing Hua, Xianfeng Gu, Otto Muzik
182
Voted
ICIP
2006
IEEE
16 years 9 months ago
Extraction of Significant Video Summaries by Dendrogram Analysis
In the current video analysis scenario, effective clustering of shots facilitates the access to the content and helps in understanding the associated semantics. This paper introdu...
Sergio Benini, Aldo Bianchetti, Riccardo Leonardi,...