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» Recovering signals from lowpass data
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ACCV
2009
Springer
15 years 9 months ago
Estimating Human Pose from Occluded Images
We address the problem of recovering 3D human pose from single 2D images, in which the pose estimation problem is formulated as a direct nonlinear regression from image observation...
Jia-Bin Huang and Ming-Hsuan Yang
IPSN
2007
Springer
15 years 5 months ago
Blind calibration of sensor networks
This paper considers the problem of blindly calibrating sensor response using routine sensor network measurements. We show that as long as the sensors slightly oversample the sign...
Laura Balzano, Robert Nowak
IROS
2007
IEEE
152views Robotics» more  IROS 2007»
15 years 5 months ago
Integral control of humanoid balance
— This paper presents a balance controller that allows a humanoid to recover from large disturbances and still maintain an upright posture. Balance is achieved by integral contro...
Benjamin Stephens
GLOBECOM
2009
IEEE
15 years 5 months ago
Multiple Target Localization Using Compressive Sensing
Abstract— In this paper, a novel multiple target localization approach is proposed by exploiting the compressive sensing theory, which indicates that sparse or compressible signa...
Chen Feng, Shahrokh Valaee, Zhenhui Tan
58
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NIPS
2007
15 years 16 days ago
Compressed Regression
Recent research has studied the role of sparsity in high dimensional regression and signal reconstruction, establishing theoretical limits for recovering sparse models from sparse...
Shuheng Zhou, John D. Lafferty, Larry A. Wasserman