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» Accelerating neuroevolutionary methods using a Kalman filter
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TSP
2010
14 years 9 months ago
Methods for sparse signal recovery using Kalman filtering with embedded pseudo-measurement norms and quasi-norms
We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...
Avishy Carmi, Pini Gurfil, Dimitri Kanevsky
ICPR
2000
IEEE
16 years 4 months ago
Using Temporal Integration for Tracking Regions in Traffic Monitoring Sequences
This paper1 describes a method for tracking regions in image sequences. Regions segmented from each frame by a motion segmentation technique are matched by using a relaxation proc...
Filiberto Pla, Jorge Badenas, José M. Sanch...
INFOCOM
1999
IEEE
15 years 7 months ago
A Kalman-Filter Method for Power Control in Broadband Wireless Networks
: A Kalman-filter method for power control is proposed for broadband, packet-switched TDMA wireless networks. By observing the temporal correlation of cochannel interference when t...
Kin K. Leung
ICIAR
2005
Springer
15 years 8 months ago
A Novel Tracking Framework Using Kalman Filtering and Elastic Matching
A novel region-based multiple object tracking framework based on Kalman filtering and elastic matching is proposed. The proposed Kalman filtering-elastic matching model is genera...
Xingzhi Luo, Suchendra M. Bhandarkar
ICPR
2008
IEEE
15 years 10 months ago
Online Feature Evaluation For Object Tracking Using Kalman Filter
An online feature evaluation method for visual object tracking is put forward in this paper. Firstly, a combined feature set is built using color histogram (HC) bins and gradien...
Zhenjun Han, Qixiang Ye, Jianbin Jiao+