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» Density Estimation in Linear Time
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ICASSP
2009
IEEE
13 years 6 months ago
Robust joint localization and time synchronization in wireless sensor networks with bounded anchor uncertainties
A unified framework to jointly solve the two problems of localization and synchronization at the same time is presented in this paper. The joint approach is attractive because it ...
Jun Zheng, Yik-Chung Wu
ICASSP
2011
IEEE
13 years 12 days ago
Estimation and dynamic updating of time-varying signals with sparse variations
This paper presents an algorithm for an 1-regularized Kalman filter. Given observations of a discrete-time linear dynamical system with sparse errors in the state evolution, we e...
Muhammad Salman Asif, Adam Charles, Justin K. Romb...
SIAMIS
2011
13 years 3 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
PAMI
2006
109views more  PAMI 2006»
13 years 8 months ago
Edge-Preserving Image Denoising and Estimation of Discontinuous Surfaces
In this paper, we are interested in the problem of estimating a discontinuous surface from noisy data. A novel procedure for this problem is proposed based on local linear kernel ...
Irène Gijbels, Alexandre Lambert, Peihua Qi...
PAMI
2007
253views more  PAMI 2007»
13 years 8 months ago
Gaussian Mean-Shift Is an EM Algorithm
The mean-shift algorithm, based on ideas proposed by Fukunaga and Hostetler (1975), is a hill-climbing algorithm on the density defined by a finite mixture or a kernel density e...
Miguel Á. Carreira-Perpiñán