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ICASSP
2011
IEEE
12 years 11 months ago
Belief theoretic methods for soft and hard data fusion
In many contexts, one is confronted with the problem of extracting information from large amounts of different types soft data (e.g., text) and hard data (from e.g., physics-based...
Thanuka Wickramarathne, Kamal Premaratne, Manohar ...
ICML
2006
IEEE
14 years 8 months ago
Locally adaptive classification piloted by uncertainty
Locally adaptive classifiers are usually superior to the use of a single global classifier. However, there are two major problems in designing locally adaptive classifiers. First,...
Juan Dai, Shuicheng Yan, Xiaoou Tang, James T. Kwo...
TIP
2008
155views more  TIP 2008»
13 years 7 months ago
Improving Color Constancy Using Indoor-Outdoor Image Classification
In this work, we investigate how illuminant estimation techniques can be improved, taking into account automatically extracted information about the content of the images. We consi...
Simone Bianco, Gianluigi Ciocca, Claudio Cusano, R...
VTC
2010
IEEE
113views Communications» more  VTC 2010»
13 years 5 months ago
Multi-Level Turbo Decoding Assisted Soft Combining Aided Hybrid ARQ
—1 Hybrid Automatic Repeat reQuest (ARQ) plays an essential role in error control. Combining the incorrectly received packet replicas in hybrid ARQ has been shown to reduce the r...
Hong Chen, Robert G. Maunder, Lajos Hanzo
FBIT
2007
IEEE
14 years 1 months ago
An Efficient Soft Tissue Characterization Method for Haptic Rendering of Soft Tissue Deformation in Medical Simulation
The modeling of soft tissue behavior is essential in haptic rendering for virtual reality based medical simulators, which provide a safe and objective medium for training medical ...
Bummo Ahn, Jung Kim