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» Modeling non-gaussian noise for robust image analysis
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CVPR
2010
IEEE
13 years 7 months ago
Robust RVM regression using sparse outlier model
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
IMAMS
2003
212views Mathematics» more  IMAMS 2003»
13 years 9 months ago
Watermarking 3D Polygonal Meshes Using the Singular Spectrum Analysis
Watermarking is to embed a structure called a watermark into the target data such as images. The watermark can be used, for example, in order to secure the copyright and detect tam...
Kohei Muratani, Kokichi Sugihara
ICDAR
2009
IEEE
13 years 5 months ago
Clutter Noise Removal in Binary Document Images
The paper presents a clutter detection and removal algorithm for complex document images. The distance transform based approach is independent of clutter's position, size, sh...
Mudit Agrawal, David S. Doermann
MM
1999
ACM
126views Multimedia» more  MM 1999»
13 years 12 months ago
Robust color indexing
In content based image retrieval, color indexing is one of the most prevalent retrieval methods. In literature, most of the attention has been focussed on the color model with lit...
Nicu Sebe, Michael S. Lew
DAC
2000
ACM
14 years 8 months ago
Dynamic noise analysis in precharge-evaluate circuits
A dynamic noise model is developed and applied to analyze the noise immunity of precharge-evaluate circuits. Considering that the primary source of noise-injection in the circuit ...
Dinesh Somasekhar, Seung Hoon Choi, Kaushik Roy, Y...