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TSP
2008
149views more  TSP 2008»
13 years 7 months ago
Decentralized Quantized Kalman Filtering With Scalable Communication Cost
Estimation and tracking of generally nonstationary Markov processes is of paramount importance for applications such as localization and navigation. In this context, ad hoc wireles...
Eric J. Msechu, Stergios I. Roumeliotis, Alejandro...
IVC
2006
193views more  IVC 2006»
13 years 7 months ago
Object tracking in an outdoor environment using fusion of features and cameras
This paper presents methods for tracking moving objects in an outdoor environment. A robust tracking is achieved using feature fusion and multiple cameras. The proposed method int...
Quming Zhou, J. K. Aggarwal
EUSFLAT
2009
184views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
Recurrent Neural Kalman Filter Identification and Indirect Adaptive Control of a Continuous Stirred Tank Bioprocess
The aim of this paper is to propose a new Kalman Filter Recurrent Neural Network (KFRNN) topology and a recursive Levenberg-Marquardt (L-M) algorithm of its learning capable to est...
Ieroham S. Baruch, Carlos Román Mariaca Gas...
VMV
2001
248views Visualization» more  VMV 2001»
13 years 8 months ago
Using an Extended Hough Transform Combined with a Kalman Filter to Segment Tubular Structures in 3D Medical Images
We present a new approach for the coarse segmentation of tubular structures in 3D image data. Our algorithm, which requires only few initial values and minimal user interaction, c...
Thorsten Behrens, Karl Rohr, H. Siegfried Stiehl
INFOCOM
2003
IEEE
14 years 23 days ago
Kalman Filter Estimation of the Number of Competing Terminals in an IEEE 802.11 network
Abstract— Throughput performance of the IEEE 802.11 Distributed Coordination Function (DCF) is very sensitive to the number n of competing stations. The contribute of this paper ...
Giuseppe Bianchi, Ilenia Tinnirello