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» Parametrization of Linear Systems Using Diffusion Kernels
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CVPR
2010
IEEE
15 years 7 months ago
Fast Matting Using Large Kernel Matting Laplacian Matrices
Image matting is of great importance in both computer vision and graphics applications. Most existing state-of-the-art techniques rely on large sparse matrices such as the matting ...
Kaiming He, Jian Sun, Xiaoou Tang
TNN
2008
129views more  TNN 2008»
14 years 11 months ago
Data Visualization and Dimensionality Reduction Using Kernel Maps With a Reference Point
In this paper, a new kernel-based method for data visualization and dimensionality reduction is proposed. A reference point is considered corresponding to additional constraints ta...
Johan A. K. Suykens
IJCV
2008
188views more  IJCV 2008»
14 years 11 months ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin
CDC
2010
IEEE
145views Control Systems» more  CDC 2010»
14 years 6 months ago
Multivariable frequency domain identification using IV-based linear regression
Abstract-- Identification of output error models from frequency domain data generally results in a non-convex optimization problem. A well-known method to approach the output error...
Rogier S. Blom, Paul M. J. Van den Hof
ACNS
2006
Springer
241views Cryptology» more  ACNS 2006»
15 years 3 months ago
High Diffusion Cipher: Encryption and Error Correction in a Single Cryptographic Primitive
In this paper we combine the error correction and encryption functionality into one block cipher, which we call High Diffusion (HD) cipher. The error correcting property of this ci...
Chetan Nanjunda Mathur, Karthik Narayan, K. P. Sub...