A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges
Abstract
This is Part II of the two-part comprehensive survey devoted to a computing framework most commonly known under the names Hyperdimensional Computing and Vector Symbolic Architectures (HDC/VSA). Both names refer to a family of computational models that use high-dimensional distributed representations and rely on the algebraic properties of their key operations to incorporate the advantages of structured symbolic representations and vector distributed representations. Holographic Reduced Representations [ 321 , 326 ] is an influential HDC/VSA model that is well known in the machine learning domain and often used to refer to the whole family. However, for the sake of consistency, we use HDC/VSA to refer to the field.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jan 16, 2023
- Source ID
- 10.1145/3558000
Entities
People
- Abbas Rahimi
- Denis Kleyko
- Dmitri Rachkovskij
- Evgeny Osipov
Organizations
- Air Force Office of Scientific Research
- International Business Machines Corporation (Armonk, NY)
- Luleå University of Technology
- Ministry of Education and Science of Ukraine
- National Academy of Sciences of Ukraine
- Swedish Foundation for Strategic Research
- University of California, Berkeley