Dmitri A. Rachkovskij

According to our database, Dmitri A. Rachkovskij authored at least 20 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Shift-Equivariant Similarity-Preserving Hypervector Representations of Sequences.

Dmitri A. Rachkovskij

Cogn. Comput., May, 2024

Learnable Weighted Superposition in HDC and its Application to Multi-channel Time Series Classification.

Kenny Schlegel, Dmitri A. Rachkovskij, Evgeny Osipov, Peter Protzel, Peer Neubert

Proceedings of the International Joint Conference on Neural Networks, 2024

On Design Choices in Similarity-Preserving Sparse Randomized Embeddings.

Denis Kleyko, Dmitri A. Rachkovskij

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges.

Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov, Abbas Rahimi

ACM Comput. Surv., 2023

A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations.

Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov, Abbas Rahimi

ACM Comput. Surv., 2023

2022

Vector Symbolic Architectures as a Computing Framework for Emerging Hardware.

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

Proc. IEEE, 2022

Representation of spatial objects by shift-equivariant similarity-preserving hypervectors.

Dmitri A. Rachkovskij

Neural Comput. Appl., 2022

Recursive Binding for Similarity-Preserving Hypervector Representations of Sequences.

Dmitri A. Rachkovskij, Denis Kleyko

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware.

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

CoRR, 2021

2018

Classification and Recall With Binary Hyperdimensional Computing: Tradeoffs in Choice of Density and Mapping Characteristics.

Denis Kleyko, Abbas Rahimi, Dmitri A. Rachkovskij, Evgeny Osipov, Jan M. Rabaey

IEEE Trans. Neural Networks Learn. Syst., 2018

2017

Neural Distributed Autoassociative Memories: A Survey.

V. I. Gritsenko, Dmitri A. Rachkovskij, A. A. Frolov, Ross W. Gayler, Denis Kleyko, Evgeny Osipov

CoRR, 2017

2016

Modification of Holographic Graph Neuron Using Sparse Distributed Representations.

Denis Kleyko, Evgeny Osipov, Dmitri A. Rachkovskij

Proceedings of the 7th Annual International Conference on Biologically Inspired Cognitive Architectures, 2016

2012

Similarity-Based Retrieval with Structure-Sensitive Sparse Binary Distributed Representations.

Dmitri A. Rachkovskij, Serge V. Slipchenko

Comput. Intell., 2012

2005

Combination of the assembly neural network with a perceptron for recognition of handwritten digits arranged in numeral strings.

Alexander V. Goltsev, Dmitri A. Rachkovskij

Pattern Recognit., 2005

2004

Some approaches to analogical mapping with structure-sensitive distributed representations.

Dmitri A. Rachkovskij

J. Exp. Theor. Artif. Intell., 2004

2001

Representation and Processing of Structures with Binary Sparse Distributed Codes.

Dmitri A. Rachkovskij

IEEE Trans. Knowl. Data Eng., 2001

Binding and Normalization of Binary Sparse Distributed Representations by Context-Dependent Thinning.

Dmitri A. Rachkovskij, Ernst M. Kussul

Neural Comput., 2001

A Recurrent Neural Network for Partitioning of Hand Drawn Characters into Strokes of Different Orientations.

Alexander V. Goltsev, Dmitri A. Rachkovskij

Int. J. Neural Syst., 2001

1999

The random subspace coarse coding scheme for real-valued vectors.

Ernst M. Kussul, Dmitri A. Rachkovskij, Donald C. Wunsch

Proceedings of the International Joint Conference Neural Networks, 1999

1998

DataGen: a generator of datasets for evaluation of classification algorithms.

Dmitri A. Rachkovskij, Ernst M. Kussul

Pattern Recognit. Lett., 1998