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ICMLA
2007
13 years 9 months ago
Scalable optimal linear representation for face and object recognition
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
Yiming Wu, Xiuwen Liu, Washington Mio
ICPR
2008
IEEE
14 years 1 months ago
Illuminant dependence of PCA, NMF and NTF in spectral color imaging
In this study Principal Component Analysis (PCA), Non-negative Matrix Factorization (NMF) and Nonnegative Tensor Factorization (NTF) are applied as dimension reduction methods in ...
Alexey Andriyashin, Jussi Parkkinen, Timo Jaaskela...
ICCV
2009
IEEE
1363views Computer Vision» more  ICCV 2009»
15 years 13 days ago
Human Detection Using Partial Least Squares Analysis
Significant research has been devoted to detecting people in images and videos. In this paper we describe a human detection method that augments widely used edge-based features ...
William Robson Schwartz, Aniruddha Kembhavi, David...
BMCBI
2005
118views more  BMCBI 2005»
13 years 7 months ago
Feature selection and nearest centroid classification for protein mass spectrometry
Background: The use of mass spectrometry as a proteomics tool is poised to revolutionize early disease diagnosis and biomarker identification. Unfortunately, before standard super...
Ilya Levner
CVPR
2003
IEEE
14 years 23 days ago
Adaptive Pattern Discovery for Interactive Multimedia Retrieval
Relevance feedback has been an indispensable component for multimedia retrieval systems. In this paper, we present an adaptive pattern discovery method, which addresses relevance ...
Yimin Wu, Aidong Zhang