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Journal of Automation and Information Sciences

Выходит 12 номеров в год

ISSN Печать: 1064-2315

ISSN Онлайн: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

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Sparse Binary Distributed Encoding of Scalars

Том 37, Выпуск 6, 2005, pp. 12-23
DOI: 10.1615/J Automat Inf Scien.v37.i6.20
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Краткое описание

Distributed codes, their properties, similarity measures and other characteristics are described. A series of procedures of stochastic distributed encoding of scalar quantities is considered. Methods of control the slope of codes overlap are defined. The obtained codes can be used for representation of numerical vectors.

ЦИТИРОВАНО В
  1. Rachkovskij D. A., Binary Vectors for Fast Distance and Similarity Estimation, Cybernetics and Systems Analysis, 53, 1, 2017. Crossref

  2. Revunova E., Rachkovskij D., Random Projection and Truncated SVD for Estimating Direction of Arrival in Antenna Array, Kibernetika i vyčislitelʹnaâ tehnika, 2018, 3(193), 2018. Crossref

  3. Gritsenko V., Revunova E., Rachkovskij D., Neural Distributed Representations of Vector Data in Intelligent Information Technologies, Kibernetika i vyčislitelʹnaâ tehnika, 2018, 4(194), 2018. Crossref

  4. Kleyko Denis, Osipov Evgeny, Wiklund Urban, A Hyperdimensional Computing Framework for Analysis of Cardiorespiratory Synchronization During Paced Deep Breathing, IEEE Access, 7, 2019. Crossref

  5. Kleyko Denis, Kheffache Mansour, Frady E. Paxon, Wiklund Urban, Osipov Evgeny, Density Encoding Enables Resource-Efficient Randomly Connected Neural Networks, IEEE Transactions on Neural Networks and Learning Systems, 32, 8, 2021. Crossref

  6. Rosato Antonello, Panella Massimo, Kleyko Denis, Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks, 2021 International Joint Conference on Neural Networks (IJCNN), 2021. Crossref

  7. Diao Cameron, Kleyko Denis, Rabaey Jan M., Olshausen Bruno A., Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional Computing, 2021 International Joint Conference on Neural Networks (IJCNN), 2021. Crossref

  8. Kleyko Denis, Frady Edward Paxon, Kheffache Mansour, Osipov Evgeny, Integer Echo State Networks: Efficient Reservoir Computing for Digital Hardware, IEEE Transactions on Neural Networks and Learning Systems, 33, 4, 2022. Crossref

  9. Kleyko Denis, Rahimi Abbas, Rachkovskij Dmitri A., Osipov Evgeny, Rabaey Jan M., Classification and Recall With Binary Hyperdimensional Computing: Tradeoffs in Choice of Density and Mapping Characteristics, IEEE Transactions on Neural Networks and Learning Systems, 29, 12, 2018. Crossref

  10. Kleyko Denis, Rachkovskij Dmitri A., Osipov Evgeny, Rahimi Abbas, A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations, ACM Computing Surveys, 2022. Crossref

  11. Kingra Sandeep Kaur, Parmar Vivek, Sharma Manoj, Suri Manan, Time-Multiplexed In-Memory Computation Scheme for Mapping Quantized Neural Networks on Hybrid CMOS-OxRAM Building Blocks, IEEE Transactions on Nanotechnology, 21, 2022. Crossref

  12. Kleyko Denis, Rachkovskij Dmitri A., Osipov Evgeny, Rahimi Abbas, A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges, ACM Computing Surveys, 2022. Crossref

  13. Rachkovskij Dmitri A., Representation of spatial objects by shift-equivariant similarity-preserving hypervectors, Neural Computing and Applications, 2022. Crossref

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