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ICIP
2005
IEEE
14 years 8 months ago
Homogeneity-based directional sigma filtering of video noise
This paper proposes a real-time method for the reduction of white Gaussian video noise. The method achieves a maximum gain of 4.8 dB and is capable of preserving image content. It...
Mohammed Ghazal, Aishy Amer, Ali Ghrayeb
JNSM
2007
138views more  JNSM 2007»
13 years 6 months ago
High-Speed Dynamic Packet Filtering
One problem encountered while monitoring gigabit networks, is the need to filter only those packets that are interesting for a given task while ignoring the others. Popular packet...
Luca Deri
TIP
2010
141views more  TIP 2010»
13 years 1 months ago
Efficient Particle Filtering via Sparse Kernel Density Estimation
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
Amit Banerjee, Philippe Burlina
NIPS
2003
13 years 8 months ago
Decoding V1 Neuronal Activity using Particle Filtering with Volterra Kernels
Decoding is a strategy that allows us to assess the amount of information neurons can provide about certain aspects of the visual scene. In this study, we develop a method based o...
Ryan Kelly, Tai Sing Lee
CVPR
2005
IEEE
14 years 8 months ago
Kernel-Based Bayesian Filtering for Object Tracking
Particle filtering provides a general framework for propagating probability density functions in non-linear and non-Gaussian systems. However, the algorithm is based on a Monte Ca...
Bohyung Han, Ying Zhu, Dorin Comaniciu, Larry S. D...