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114
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ICIP
2010
IEEE
15 years 1 months ago
3D augmented Markov random field for object recognition
In this paper, we propose to use 3D information to augment the Markov random field (MRF) model for object recognition. Conventional MRF for image-based object recognition usually ...
Wei Yu, Ahmed Bilal Ashraf, Yao-Jen Chang, Congcon...
EJWCN
2010
118views more  EJWCN 2010»
14 years 10 months ago
Field Division Routing
Multi-hop communication objectives and constraints impose a set of challenging requirements that create difficult conditions for simultaneous optimization of features such as scala...
Milenko Drinic, Darko Kirovski, Lin Yuan, Gang Qu,...
136
Voted
APVIS
2009
15 years 4 months ago
Interactive feature extraction and tracking by utilizing region coherency
The ability to extract and follow time-varying flow features in volume data generated from large-scale numerical simulations enables scientists to effectively see and validate mod...
Chris Muelder, Kwan-Liu Ma
157
Voted
FPL
2005
Springer
119views Hardware» more  FPL 2005»
15 years 9 months ago
Real-Time Feature Extraction for High Speed Networks
With the onset of Gigabit networks, current generation networking components will soon be insufficient for numerous reasons: most notably because existing methods cannot support h...
David Nguyen, Gokhan Memik, Seda Ogrenci Memik, Al...
BCS
2008
15 years 4 months ago
On Using Physical Analogies for Feature and Shape Extraction in Computer Vision
: There is a rich literature of approaches to image feature extraction in computer vision. Many sophisticated approaches exist for low- and high-level feature extraction but can be...
Mark S. Nixon, Cem Direkoglu, Xin U. Liu, David J....