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ICASSP
2009
IEEE
16 years 1 months ago
Time-space-sequential algorithms for distributed Bayesian state estimation in serial sensor networks
We consider distributed estimation of a time-dependent, random state vector based on a generally nonlinear/non-Gaussian state-space model. The current state is sensed by a serial ...
Ondrej Hlinka, Franz Hlawatsch
ICASSP
2008
IEEE
16 years 1 months ago
Maximum kernel density estimator for robust fitting
Robust model fitting plays an important role in many computer vision applications. In this paper, we propose a new robust estimator — Maximum Kernel Density Estimator (MKDE) bas...
Hanzi Wang
ICASSP
2010
IEEE
15 years 7 months ago
A novel watermarking scheme with compensation in bit-stream domain for H.264/AVC
Currently, most of the watermarking algorithms for H.264/AVC video coding standard are encoder-based due to their high perceptual quality. However, for the compressed video, they ...
Liwei Zhang, Yuesheng Zhu, Lai-Man Po
TNN
2008
128views more  TNN 2008»
15 years 6 months ago
A Hybrid Technique for Blind Separation of Non-Gaussian and Time-Correlated Sources Using a Multicomponent Approach
Blind inversion of a linear and instantaneous mixture of source signals is a problem often encountered in many signal processing applications. Efficient FastICA (EFICA) offers an ...
Petr Tichavský, Zbynek Koldovský, Ar...
232
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ICASSP
2011
IEEE
14 years 10 months ago
Random finite set for data association in multiple camera tracking
Most methods for multiple camera tracking rely on accurate calibration to associate data from multiple cameras. However, it often is not easy to have an accurate calibration in so...
Nam Trung Pham, Richard Chang, Karianto Leman, Tec...