Results 31 to 40 of about 1,107,982 (188)
Belief Propagation Bit-Flip Decoder for Polar Codes
The bit-flip method has been successfully applied to the successive cancellation (SC) decoder to improve the block error rate (BLER) performance for polar codes in the finite code length region.
Yongrun Yu +3 more
doaj +1 more source
Homography-guided stereo matching for wide-baseline image interpolation
Image interpolation has a wide range of applications such as frame rate-up conversion and free viewpoint TV. Despite significant progresses, it remains an open challenge especially for image pairs with large displacements. In this paper, we first propose
Yuan Chang +3 more
doaj +1 more source
Belief Propagation for Panorama Generation [PDF]
We present an algorithm for generating panoramic images of complex scenes from a multi-sensor camera. We further present a programmable graphics hardware implementation to process the large data sets more quickly. Because the sensors do not share the same center of projection, nearby objects may not be properly aligned, creating a ghosting or echoing ...
Brunton, Alan, Shu, Chang
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Islamic studies conducted by orientalists often face criticism because they are considered to have an epistemological bias that tends to view Islam from an external and secular perspective.
Siti Atieqoh +4 more
doaj +1 more source
Belief Propagation for Linear Programming [PDF]
Belief Propagation (BP) is a popular, distributed heuristic for performing MAP computations in Graphical Models. BP can be interpreted, from a variational perspective, as minimizing the Bethe Free Energy (BFE). BP can also be used to solve a special class of Linear Programming (LP) problems. For this class of problems, MAP inference can be stated as an
Andrew E. Gelfand +2 more
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Sigma Point Belief Propagation [PDF]
5 pages, 1 ...
Florian Meyer +2 more
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A Simple Scheme for Belief Propagation Decoding of BCH and RS Codes in Multimedia Transmissions
Classic linear block codes, like Bose-Chaudhuri-Hocquenghem (BCH) and Reed-Solomon (RS) codes, are widely used in multimedia transmissions, but their soft-decision decoding still represents an open issue.
Marco Baldi, Franco Chiaraluce
doaj +1 more source
Hard and Soft EM in Bayesian Network Learning from Incomplete Data
Incomplete data are a common feature in many domains, from clinical trials to industrial applications. Bayesian networks (BNs) are often used in these domains because of their graphical and causal interpretations.
Andrea Ruggieri +3 more
doaj +1 more source
Multibaseline Gradient Ambiguity Resolution To Support Minimum Cost Flow Phase Unwrapping [PDF]
The TanDEM-X Mission has as primary objective to generate a high resolution global Digital Elevation Model. This paper proposes a new method for multibaseline Phase Unwrapping which is the critical point of this generation.
Marie Lachaise +5 more
core +1 more source
Belief Propagation Neural Networks
Learned neural solvers have successfully been used to solve combinatorial optimization and decision problems. More general counting variants of these problems, however, are still largely solved with hand-crafted solvers. To bridge this gap, we introduce belief propagation neural networks (BPNNs), a class of parameterized operators that operate on ...
Jonathan Kuck +6 more
openaire +3 more sources

