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» Estimating random variables from random sparse observations
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CVPR
2007
IEEE
14 years 9 months ago
Simultaneous Detection and Segmentation of Pedestrians using Top-down and Bottom-up Processing
We present a method for the simultaneous detection and segmentation of people from static images. The proposed technique requires no manual segmentation during training, and explo...
Vinay Sharma, James W. Davis
ISPASS
2010
IEEE
14 years 2 months ago
Performance-effective operation below Vcc-min
Continuous circuit miniaturization and increased process variability point to a future with diminishing returns from dynamic voltage scaling. Operation below Vcc-min has been prop...
Nikolas Ladas, Yiannakis Sazeides, Veerle Desmet
TCOM
2008
118views more  TCOM 2008»
13 years 6 months ago
Performance analysis for collaborative decoding with least-reliable-bits exchange on AWGN channels
Collaborative decoding is an approach that can achieve diversity and combining gain by exchanging decoding information among a cluster of physically separated receivers. On AWGN ch...
Xin Li, Tan F. Wong, John M. Shea
TMI
2010
133views more  TMI 2010»
13 years 5 months ago
Synthetic Magnetic Resonance Imaging Revisited
—Synthetic magnetic resonance (MR) imaging is an approach suggested in the literature to predict MR images at different design parameter settings from at least three observed MR ...
Ranjan Maitra, John J. Riddles
CVPR
2009
IEEE
1468views Computer Vision» more  CVPR 2009»
15 years 3 months ago
Hardware-Efficient Belief Propagation
Belief propagation (BP) is an effective algorithm for solving energy minimization problems in computer vision. However, it requires enormous memory, bandwidth, and computation beca...
Chao-Chung Cheng, Chia-Kai Liang, Homer H. Chen, L...