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» Denoising using local projective subspace methods
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ICCV
2005
IEEE
14 years 10 months ago
A Supervised Learning Framework for Generic Object Detection in Images
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
Saad Ali, Mubarak Shah
ICCV
2009
IEEE
1363views Computer Vision» more  ICCV 2009»
15 years 1 months 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...
ICCV
2005
IEEE
14 years 2 months ago
Space-Time Scene Manifolds
The space of images is known to be a non-linear subspace that is difficult to model. This paper derives an algorithm that walks within this space. We seek a manifold through the ...
Yonatan Wexler, Denis Simakov
BMCBI
2008
87views more  BMCBI 2008»
13 years 8 months ago
Protein structure search and local structure characterization
Background: Structural similarities among proteins can provide valuable insight into their functional mechanisms and relationships. As the number of available three-dimensional (3...
Shih-Yen Ku, Yuh-Jyh Hu
KBSE
2007
IEEE
14 years 3 months ago
The business case for automated software engineering
Adoption of advanced automated SE (ASE) tools would be favored if a business case could be made that these tools are more valuable than alternate methods. In theory, software pred...
Tim Menzies, Oussama El-Rawas, Jairus Hihn, Martin...