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Publication search results
found 24 matches
- 2024
- Dmitri A. Rachkovskij:
Shift-Equivariant Similarity-Preserving Hypervector Representations of Sequences. Cogn. Comput. 16(3): 909-923 (2024) - Denis Kleyko, Dmitri A. Rachkovskij:
On Design Choices in Similarity-Preserving Sparse Randomized Embeddings. IJCNN 2024: 1-8 - Kenny Schlegel, Dmitri A. Rachkovskij, Evgeny Osipov, Peter Protzel, Peer Neubert:
Learnable Weighted Superposition in HDC and its Application to Multi-channel Time Series Classification. IJCNN 2024: 1-7 - 2023
- Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov, Abbas Rahimi:
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations. ACM Comput. Surv. 55(6): 130:1-130:40 (2023) - Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov, Abbas Rahimi:
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges. ACM Comput. Surv. 55(9): 175:1-175:52 (2023) - 2022
- Dmitri A. Rachkovskij:
Representation of spatial objects by shift-equivariant similarity-preserving hypervectors. Neural Comput. Appl. 34(24): 22387-22403 (2022) - Denis Kleyko, Mike Davies, Edward Paxon Frady, Pentti Kanerva, Spencer J. Kent, Bruno A. Olshausen, Evgeny Osipov, Jan M. Rabaey, Dmitri A. Rachkovskij, Abbas Rahimi, Friedrich T. Sommer:
Vector Symbolic Architectures as a Computing Framework for Emerging Hardware. Proc. IEEE 110(10): 1538-1571 (2022) - Dmitri A. Rachkovskij, Denis Kleyko:
Recursive Binding for Similarity-Preserving Hypervector Representations of Sequences. IJCNN 2022: 1-8 - Dmitri A. Rachkovskij, Denis Kleyko:
Recursive Binding for Similarity-Preserving Hypervector Representations of Sequences. CoRR abs/2201.11691 (2022) - 2021
- Denis Kleyko, Mike Davies, Edward Paxon Frady, Pentti Kanerva, Spencer J. Kent, Bruno A. Olshausen, Evgeny Osipov, Jan M. Rabaey, Dmitri A. Rachkovskij, Abbas Rahimi, Friedrich T. Sommer:
Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware. CoRR abs/2106.05268 (2021) - Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov, Abbas Rahimi:
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations. CoRR abs/2111.06077 (2021) - Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov, Abbas Rahimi:
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges. CoRR abs/2112.15424 (2021) - Dmitri A. Rachkovskij:
Shift-Equivariant Similarity-Preserving Hypervector Representations of Sequences. CoRR abs/2112.15475 (2021) - 2018
- Denis Kleyko, Abbas Rahimi, Dmitri A. Rachkovskij, Evgeny Osipov, Jan M. Rabaey:
Classification and Recall With Binary Hyperdimensional Computing: Tradeoffs in Choice of Density and Mapping Characteristics. IEEE Trans. Neural Networks Learn. Syst. 29(12): 5880-5898 (2018) - 2017
- V. I. Gritsenko, Dmitri A. Rachkovskij, A. A. Frolov, Ross W. Gayler, Denis Kleyko, Evgeny Osipov:
Neural Distributed Autoassociative Memories: A Survey. CoRR abs/1709.00848 (2017) - 2016
- Denis Kleyko, Evgeny Osipov, Dmitri A. Rachkovskij:
Modification of Holographic Graph Neuron Using Sparse Distributed Representations. BICA 2016: 39-45 - 2012
- Dmitri A. Rachkovskij, Serge V. Slipchenko:
Similarity-Based Retrieval with Structure-Sensitive Sparse Binary Distributed Representations. Comput. Intell. 28(1): 106-129 (2012) - 2005
- Alexander V. Goltsev, Dmitri A. Rachkovskij:
Combination of the assembly neural network with a perceptron for recognition of handwritten digits arranged in numeral strings. Pattern Recognit. 38(3): 315-322 (2005) - 2004
- Dmitri A. Rachkovskij:
Some approaches to analogical mapping with structure-sensitive distributed representations. J. Exp. Theor. Artif. Intell. 16(3): 125-144 (2004) - 2001
- Alexander V. Goltsev, Dmitri A. Rachkovskij:
A Recurrent Neural Network for Partitioning of Hand Drawn Characters into Strokes of Different Orientations. Int. J. Neural Syst. 11(5): 463-475 (2001) - Dmitri A. Rachkovskij, Ernst M. Kussul:
Binding and Normalization of Binary Sparse Distributed Representations by Context-Dependent Thinning. Neural Comput. 13(2): 411-452 (2001) - Dmitri A. Rachkovskij:
Representation and Processing of Structures with Binary Sparse Distributed Codes. IEEE Trans. Knowl. Data Eng. 13(2): 261-276 (2001) - 1999
- Ernst M. Kussul, Dmitri A. Rachkovskij, Donald C. Wunsch:
The random subspace coarse coding scheme for real-valued vectors. IJCNN 1999: 450-455 - 1998
- Dmitri A. Rachkovskij, Ernst M. Kussul:
DataGen: a generator of datasets for evaluation of classification algorithms. Pattern Recognit. Lett. 19(7): 537-544 (1998)
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