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IEEECIT
2010
IEEE
13 years 5 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...
ICASSP
2009
IEEE
14 years 3 months ago
Microarray classification using block diagonal linear discriminant analysis with embedded feature selection
In this paper, block diagonal linear discriminant analysis (BDLDA) is improved and applied to gene expression data. BDLDA is a classification tool with embedded feature selection...
Lingyan Sheng, Roger Pique-Regi, Shahab Asgharzade...
IJCNLP
2005
Springer
14 years 2 months ago
Using Multiple Discriminant Analysis Approach for Linear Text Segmentation
Research on linear text segmentation has been an on-going focus in NLP for the last decade, and it has great potential for a wide range of applications such as document summarizati...
Jingbo Zhu, Na Ye, Xinzhi Chang, Wenliang Chen, Be...
CAIP
2005
Springer
121views Image Analysis» more  CAIP 2005»
14 years 2 months ago
Feature Space Reduction for Face Recognition with Dual Linear Discriminant Analysis
Linear Discriminant Analysis (LDA) is widely known feature extraction technique that aims at creating a feature set of enhanced discriminatory power. It was addressed by many resea...
Krzysztof Kucharski, Wladyslaw Skarbek, Miroslaw B...
ICMCS
2006
IEEE
110views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Image Replica Detection using R-Trees and Linear Discriminant Analysis
In this paper a novel system for image replica detection is presented. The system uses color-based descriptors in order to extract robust features for image representation. These ...
Spyros Nikolopoulos, Stefanos Zafeiriou, Panagioti...