Pentti Kanerva, Ph.D.
Affiliations: | CSLI | Stanford University, Palo Alto, CA |
Area:
Vector Symbolic Architectures, Sparse Distributed MemoryGoogle:
"Pentti Kanerva"Mean distance: 16.28 | S | N | B | C | P |
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Publications
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| Kanerva P. (2019) Computing with High-Dimensional Vectors Ieee Design & Test of Computers. 36: 7-14 |
| Karlgren J, Kanerva P. (2019) High-dimensional distributed semantic spaces for utterances Natural Language Engineering. 25: 503-517 |
| Rahimi A, Datta S, Kleyko D, et al. (2017) High-Dimensional Computing as a Nanoscalable Paradigm Ieee Transactions On Circuits and Systems I: Regular Papers. 64: 2508-2521 |
| Rahimi A, Tchouprina A, Kanerva P, et al. (2017) Hyperdimensional Computing for Blind and One-Shot Classification of EEG Error-Related Potentials Mobile Networks and Applications. 25: 1958-1969 |
| Recchia G, Sahlgren M, Kanerva P, et al. (2015) Encoding sequential information in semantic space models: comparing holographic reduced representation and random permutation. Computational Intelligence and Neuroscience. 2015: 986574 |
| Paradis RD, Guo JK, Moulton J, et al. (2013) Finding semantic equivalence of text using random index vectors Procedia Computer Science. 20: 454-459 |
| Kanerva P. (2009) Hyperdimensional computing: An introduction to computing in distributed representation with high-dimensional random vectors Cognitive Computation. 1: 139-159 |