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ICML
2006
IEEE
14 years 10 months ago
R1-PCA: rotational invariant L1-norm principal component analysis for robust subspace factorization
Principal component analysis (PCA) minimizes the sum of squared errors (L2-norm) and is sensitive to the presence of outliers. We propose a rotational invariant L1-norm PCA (R1-PC...
Chris H. Q. Ding, Ding Zhou, Xiaofeng He, Hongyuan...
CVPR
2004
IEEE
14 years 12 months ago
Frame Synchronization and Multi-Level Subspace Analysis for Video Based Face Recognition
In this paper, we develop a new video-to-video face recognition algorithm. The major advantage of the video based method is that more information is available in a video sequence ...
Xiaoou Tang, Zhifeng Li
PAA
2008
13 years 9 months ago
Online nonparametric discriminant analysis for incremental subspace learning and recognition
This paper presents a novel approach for online subspace learning based on an incremental version of the nonparametric discriminant analysis (NDA). For many real-world applications...
Bogdan Raducanu, Jordi Vitrià
ICPR
2002
IEEE
14 years 2 months ago
Exploratory Analysis of Point Proximity in Subspaces
We consider clustering as computation of a structure of proximity relationships within a data set in a feature space or its subspaces. We propose a data structure to represent suc...
Tin Kam Ho
IEEECIT
2010
IEEE
13 years 7 months ago
Face Recognition using Layered Linear Discriminant Analysis and Small Subspace
Face recognition has great demands in human recognition and recently it becomes one of the most important research areas of biometrics. In this paper, we present a novel layered fa...
Muhammad Imran Razzak, Muhammad Khurram Khan, Khal...