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» Robust Principal Component Analysis for Computer Vision
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DSP
2008
13 years 7 months ago
On statistical approaches to target silhouette classification in difficult conditions
In this paper we present a methodical evaluation of the performance of a new and two traditional approaches to automatic target recognition (ATR) based on silhouette representatio...
Conrad Sanderson, Danny Gibbins, Stephen Searle
ICPR
2004
IEEE
14 years 10 months ago
Action and Simultaneous Multiple-Person Identification Using Cubic Higher-Order Local Auto-Correlation
We propose a new method ? Cubic Higher-order Local Auto-Correlation (CHLAC) ? to address three-way data analysis. This method is a natural extension of Higherorder Local Auto-Corr...
Nobuyuki Otsu, Takumi Kobayashi
ICPR
2008
IEEE
14 years 3 months ago
Pose adaptive LDA based face recognition
In this paper, a novel method based on pose adaptive linear discriminant analysis (PALDA) is proposed to deal with pose variation problems in face recognition when each person has...
Zhenger Wang, Xiaoqing Ding, Chi Fang
ECCV
2000
Springer
14 years 10 months ago
Coupled Geodesic Active Regions for Image Segmentation: A Level Set Approach
Abstract. This paper presents anovel variational method forimage segmentation that uni es boundary and region-based information sources under the Geodesic Active Region framework. ...
Nikos Paragios, Rachid Deriche
AAAI
2008
13 years 11 months ago
Sparse Projections over Graph
Recent study has shown that canonical algorithms such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) can be obtained from graph based dimensionality ...
Deng Cai, Xiaofei He, Jiawei Han