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» Accelerating neuroevolutionary methods using a Kalman filter
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TSP
2010
13 years 19 days 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
14 years 7 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
13 years 10 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
13 years 11 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
14 years 1 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+