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CBMS
2008
IEEE
16 years 21 days ago
Noise Filtering Using Edge-Driven Adaptive Anisotropic Diffusion
This paper presents a method aimed to noise removal in MRI (Magnetic Resonance Imaging). We propose an improvement of Perona and Malik's anisotropic diffusion filter. In ou...
Edoardo Ardizzone, Orazio Gambino, Roberto Gallea,...
105
Voted
CVPR
2004
IEEE
16 years 3 months ago
Towards Robust Structure-Based Enhancement and Horizon Picking in 3-D Seismic Data
We present a novel structure-enhancing adaptive filter guided by features derived from the Gradient Structure Tensor. We employ this filter to reduce noise in seismic data and to ...
Sean M. O'Malley, Ioannis A. Kakadiaris
113
Voted
NIPS
2001
15 years 3 months ago
KLD-Sampling: Adaptive Particle Filters
Over the last years, particle filters have been applied with great success to a variety of state estimation problems. We present a statistical approach to increasing the efficienc...
Dieter Fox
103
Voted
ICIAP
2007
ACM
16 years 1 months ago
Adaptive uncertainty estimation for particle filter-based trackers
In particle filter?based visual trackers, dynamic velocity components are typically incorporated into the state update equations. In these cases, there is a risk that the uncertai...
Andrew D. Bagdanov, Alberto Del Bimbo, Fabrizio Di...
109
Voted
TSP
2008
167views more  TSP 2008»
15 years 1 months ago
Decentralized Adaptive Filtering Algorithms for Sensor Activation in an Unattended Ground Sensor Network
Abstract--We present decentralized adaptive filtering algorithms for sensor activation control in an unattended ground sensor network (UGSN) comprised of ZigBee-enabled nodes. Node...
Vikram Krishnamurthy, Michael Maskery, Gang George...