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» Visualization of Labeled Data Using Linear Transformations
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119
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ICCV
2007
IEEE
15 years 8 months ago
Laplacian PCA and Its Applications
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
Deli Zhao, Zhouchen Lin, Xiaoou Tang
PRL
2008
161views more  PRL 2008»
15 years 1 months ago
Automatic kernel clustering with a Multi-Elitist Particle Swarm Optimization Algorithm
This article introduces a scheme for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring groups in the data. T...
Swagatam Das, Ajith Abraham, Amit Konar
ICVGIP
2008
15 years 3 months ago
Monocular Depth by Nonlinear Diffusion
Following the phenomenological approach of gestaltists, sparse monocular depth cues such as T- and X-junctions and the local convexity are crucial to identify the shape and depth ...
Jean-Michel Morel, Philippe Salembier
JVCA
2007
110views more  JVCA 2007»
15 years 2 months ago
Dual Laplacian morphing for triangular meshes
Recently, animations with deforming objects have been frequently used in various computer graphics applications. Morphing of objects is one of the techniques which realize shape t...
Jianwei Hu, Ligang Liu, Guozhao Wang
92
Voted
ICIP
2010
IEEE
15 years 8 days ago
Reduced-reference SSIM estimation
The structural similarity (SSIM) index has been shown to be a good perceptual image quality predictor. In many real-world applications such as network visual communications, howev...
Abdul Rehman, Zhou Wang