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Decomposition Methods for Large Scale LP Decoding [PDF]
2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2013 When binary linear error-correcting codes are used over symmetric channels, a relaxed version of the maximum likelihood decoding problem can be stated as a linear program (LP).
Siddharth Barman +3 more
core +12 more sources
Decoding Methods in Neural Language Generation: A Survey [PDF]
Information, 2021 Neural encoder-decoder models for language generation can be trained to predict words directly from linguistic or non-linguistic inputs. When generating with these so-called end-to-end models, however, the NLG system needs an additional decoding procedure that determines the output sequence, given the infinite search space over potential sequences that
Sina Zarrieß +2 more
doaj +7 more sources
New Rotor Position Redundancy Decoding Method Based on Resolver Decoder
Micromachines, 2022 In view of the frequent safety problems of electric vehicles, the research on accurately obtaining the rotor position of the motor through the resolver is an important means to improve the functional safety of the system. The commonly used resolver decoding method involves the resolver decoding chip method and software decoding method, but few studies ...
Anbo Yu +5 more
openaire +5 more sources
Cascade Decoder: A Universal Decoding Method for Biomedical Image Segmentation [PDF]
arXiv, 2019 The Encoder-Decoder architecture is a main stream deep learning model for biomedical image segmentation. The encoder fully compresses the input and generates encoded features, and the decoder then produces dense predictions using encoded features. However, decoders are still under-explored in such architectures.
Danny Z. Chen +5 more
arxiv +5 more sources
Adaptive Methods for Linear Programming Decoding [PDF]
IEEE Transactions on Information Theory, 2007 Detectability of failures of linear programming (LP) decoding and the potential for improvement by adding new constraints motivate the use of an adaptive approach in selecting the constraints for the underlying LP problem.
Siegel, Paul H., Taghavi, Mohammad H.
core +4 more sources
Chemical Methods for Encoding and Decoding of Posttranslational Modifications [PDF]
Cell Chemical Biology, 2016 A large array of posttranslational modifications can dramatically change the properties of proteins and influence different aspects of their biological function such as enzymatic activity, binding interactions, and proteostasis. Despite the significant knowledge that has been gained about the function of posttranslational modifications using ...
Kelly N. Chuh +2 more
openalex +5 more sources
Deep Learning Methods for Improved Decoding of Linear Codes [PDF]
, 2018 The problem of low complexity, close to optimal, channel decoding of linear codes with short to moderate block length is considered. It is shown that deep learning methods can be used to improve a standard belief propagation decoder, despite the large ...
Eliya Nachmani +5 more
openalex +3 more sources
Objective comparison of methods to decode anomalous diffusion [PDF]
Nature Communications, 2021 AbstractDeviations from Brownian motion leading to anomalous diffusion are found in transport dynamics from quantum physics to life sciences. The characterization of anomalous diffusion from the measurement of an individual trajectory is a challenging task, which traditionally relies on calculating the trajectory mean squared displacement.
Diego Krapf +37 more
openaire +11 more sources
Decoding Methods for Neural Narrative Generation [PDF]
Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021), 2021 Narrative generation is an open-ended NLP task in which a model generates a story given a prompt. The task is similar to neural response generation for chatbots; however, innovations in response generation are often not applied to narrative generation, despite the similarity between these tasks.
Aaron Mueller +3 more
openaire +3 more sources
A Novel Decoding Method for the Erasure Codes [PDF]
Security and Communication Networks, 2021 The erasure codes are widely used in the distributed storage with low redundancy compared to the replication method. However, the current research studies about the erasure codes mainly focus on the encoding methods, while there are few studies on the decoding methods. In this paper, a novel erasure decoding method is proposed; it is a general decoding
Dan Tang, Hongliang Cai
openaire +2 more sources