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ICASSP
2009
IEEE
15 years 4 months ago
Sparse LMS for system identification
We propose a new approach to adaptive system identification when the system model is sparse. The approach applies the ℓ1 relaxation, common in compressive sensing, to improve t...
Yilun Chen, Yuantao Gu, Alfred O. Hero III
3DOR
2008
15 years 3 days ago
Markov Random Fields for Improving 3D Mesh Analysis and Segmentation
Mesh analysis and clustering have became important issues in order to improve the efficiency of common processing operations like compression, watermarking or simplification. In t...
Guillaume Lavoué, Christian Wolf
NIPS
2008
14 years 11 months ago
An Homotopy Algorithm for the Lasso with Online Observations
It has been shown that the problem of 1-penalized least-square regression commonly referred to as the Lasso or Basis Pursuit DeNoising leads to solutions that are sparse and there...
Pierre Garrigues, Laurent El Ghaoui
ICIP
2005
IEEE
15 years 11 months ago
Universal image coding using multiscale recurrent patterns and prediction
In this paper we present a new method for image coding that is able to achieve good results over a wide range of image types. This work is based on the Multidimensional Multiscale...
Eduardo A. B. da Silva, Murilo B. de Carvalho, Nun...
ICIP
2004
IEEE
15 years 11 months ago
Low-complexity macroblock mode selection for H.264/AVC encoders
Lagrangian minimization is one of the most powerful tools for Rate-Distortion optimal coding mode selection. However, in the latest video compression standard H.264/AVC, the total...
Hyungjoon Kim, Yucel Altunbasak