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CORR
2010
Springer
130views Education» more  CORR 2010»
15 years 4 months ago
Approximated Structured Prediction for Learning Large Scale Graphical Models
In this paper we propose an approximated structured prediction framework for large scale graphical models and derive message-passing algorithms for learning their parameters effic...
Tamir Hazan, Raquel Urtasun
TIT
2002
128views more  TIT 2002»
15 years 3 months ago
Bandwidth scaling for fading multipath channels
Abstract--We show that very large bandwidths on fading multipath channels cannot be effectively utilized by spread-spectrum systems that (in a particular sense) spread the availabl...
Muriel Médard, Robert G. Gallager
ICASSP
2011
IEEE
14 years 7 months ago
A classifier-based decoding approach for large scale distributed coding
Canonical distributed quantization schemes do not scale to large sensor networks due to the exponential decoder storage complexity that they entail. Prior efforts to tackle this i...
Kumar Viswanatha, Sharadh Ramaswamy, Ankur Saxena,...
CVPR
2012
IEEE
13 years 6 months ago
Scale resilient, rotation invariant articulated object matching
A novel method is proposed for matching articulated objects in cluttered videos. The method needs only a single exemplar image of the target object. Instead of using a small set o...
Hao Jiang, Tai-Peng Tian, Kun He, Stan Sclaroff
CVPR
2005
IEEE
16 years 6 months ago
Multi-Image Matching Using Multi-Scale Oriented Patches
This paper describes a novel multi-view matching framework based on a new type of invariant feature. Our features are located at Harris corners in discrete scale-space and oriente...
Matthew Brown, Richard Szeliski, Simon A. J. Winde...