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163
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CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
16 years 9 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)
130
Voted
AINA
2009
IEEE
15 years 8 months ago
A Range-Only Tracking Algorithm for Wireless Sensor Networks
Over the last few years, target tracking in wireless sensor networks has become a topic of particular interest. This paper presents a tracking system intended for deployment in di...
Evangelos B. Mazomenos, Jeffrey S. Reeve, Neil M. ...
IROS
2007
IEEE
154views Robotics» more  IROS 2007»
15 years 8 months ago
A Kalman filter-based algorithm for IMU-camera calibration
—Vision-aided inertial navigation systems (V-INSs) can provide precise state estimates for the 3-D motion of a vehicle when no external references (e.g., GPS) are available. This...
Faraz M. Mirzaei, Stergios I. Roumeliotis
105
Voted
VTC
2006
IEEE
15 years 7 months ago
Rate Adaptation in Time Varying Channels using Acknowledgement Feedback
— Throughput maximization in a packet switched wireless communication system is considered in this paper. The channel variation is accounted for by modeling the channel as a fin...
Chin Keong Ho, Job Oostveen
125
Voted
ICASSP
2009
IEEE
15 years 8 months ago
Particle filtering for Quantized Innovations
In this paper, we re-examine the recently proposed distributed state estimators based on quantized innovations. It is widely believed that the error covariance of the Quantized In...
Ravi Teja Sukhavasi, Babak Hassibi