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» Wavelet based preconditioners for sparse linear systems
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IPPS
2002
IEEE
14 years 28 days ago
Fast Inductance Extraction of Large VLSI Circuits
Accurate estimation of signal delay is critical to the design and verification of VLSI circuits. At very high frequencies, signal delay in circuits with small feature sizes is do...
Hemant Mahawar, Vivek Sarin, Weiping Shi
IPPS
2006
IEEE
14 years 2 months ago
On the performance of parallel normalized explicit preconditioned conjugate gradient type methods
A new class of parallel normalized preconditioned conjugate gradient type methods in conjunction with normalized approximate inverses algorithms, based on normalized approximate f...
George A. Gravvanis, Konstantinos M. Giannoutakis
ICIP
2004
IEEE
14 years 9 months ago
Sparse representation of images with hybrid linear models
We propose a mixture of multiple linear models, also known as hybrid linear model, for a sparse representation of an image. This is a generalization of the conventional KarhunenLo...
Kun Huang, Allen Y. Yang, Yi Ma
DAGSTUHL
2007
13 years 9 months ago
Nonlinear Approximation and Image Representation using Wavelets
We address the problem of finding sparse wavelet representations of high-dimensional vectors. We present a lower-bounding technique and use it to develop an algorithm for computi...
Sudipto Guha, Boulos Harb
MIR
2010
ACM
229views Multimedia» more  MIR 2010»
14 years 2 months ago
Wavelet, active basis, and shape script: a tour in the sparse land
Sparse coding is a key principle that underlies wavelet representation of natural images. In this paper, we explain that the effort of seeking a common wavelet sparse coding of i...
Zhangzhang Si, Ying Nian Wu