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2020 – today
- 2023
[i6]Edward Paxon Frady, Spencer J. Kent, Quinn Tran, Pentti Kanerva, Bruno A. Olshausen, Friedrich T. Sommer:
Learning and generalization of compositional representations of visual scenes. CoRR abs/2303.13691 (2023)- [i5]Christopher J. Kymn, Denis Kleyko, Edward Paxon Frady, Connor Bybee, Pentti Kanerva, Friedrich T. Sommer, Bruno A. Olshausen:
Computing with Residue Numbers in High-Dimensional Representation. CoRR abs/2311.04872 (2023) - 2022
- [j13]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) - [i4]Ping-Chen Huang, Denis Kleyko, Jan M. Rabaey, Bruno A. Olshausen, Pentti Kanerva:
Computing with Hypervectors for Efficient Speaker Identification. CoRR abs/2208.13285 (2022) - 2021
- [j12]Jussi Karlgren, Pentti Kanerva:
Semantics in High-Dimensional Space. Frontiers Artif. Intell. 4: 698809 (2021) - [i3]Jussi Karlgren, Pentti Kanerva:
High-dimensional distributed semantic spaces for utterances. CoRR abs/2104.00424 (2021) - [i2]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) - 2020
- [j11]Abbas Rahimi, Artiom Tchouprina, Pentti Kanerva, José del R. Millán, Jan M. Rabaey:
Hyperdimensional Computing for Blind and One-Shot Classification of EEG Error-Related Potentials. Mob. Networks Appl. 25(5): 1958-1969 (2020)
2010 – 2019
- 2019
- [j10]Pentti Kanerva:
Computing with High-Dimensional Vectors. IEEE Des. Test 36(3): 7-14 (2019) - [j9]Jussi Karlgren, Pentti Kanerva:
High-dimensional distributed semantic spaces for utterances. Nat. Lang. Eng. 25(4): 503-517 (2019) - [j8]Abbas Rahimi, Pentti Kanerva, Luca Benini, Jan M. Rabaey:
Efficient Biosignal Processing Using Hyperdimensional Computing: Network Templates for Combined Learning and Classification of ExG Signals. Proc. IEEE 107(1): 123-143 (2019) - 2018
- [c16]Jussi Karlgren, Lewis Esposito, Chantal Gratton, Pentti Kanerva:
Authorship Profiling Without Using Topical Information: Notebook for PAN at CLEF 2018. CLEF (Working Notes) 2018 - [c15]Jussi Karlgren, Pentti Kanerva:
Hyperdimensional utterance spaces. DESIRES 2018: 29-35 - 2017
- [j7]Abbas Rahimi, Sohum Datta, Denis Kleyko, Edward Paxon Frady, Bruno A. Olshausen, Pentti Kanerva, Jan M. Rabaey:
High-Dimensional Computing as a Nanoscalable Paradigm. IEEE Trans. Circuits Syst. I Regul. Pap. 64-I(9): 2508-2521 (2017) - [c14]Jan M. Rabaey, Abbas Rahimi, Sohum Datta, Miles Rusch, Pentti Kanerva, Bruno A. Olshausen:
Human-centric computing - The case for a Hyper-Dimensional approach. IWASI 2017: 29 - 2016
- [c13]Abbas Rahimi, Simone Benatti, Pentti Kanerva, Luca Benini, Jan M. Rabaey:
Hyperdimensional biosignal processing: A case study for EMG-based hand gesture recognition. ICRC 2016: 1-8 - [c12]Mika Laiho, Eero Lehtonen, Jussi H. Poikonen, Pentti Kanerva:
Associative memory with occurrence statistics. ISCAS 2016: 2278-2281 - [c11]Abbas Rahimi, Pentti Kanerva, Jan M. Rabaey:
A Robust and Energy-Efficient Classifier Using Brain-Inspired Hyperdimensional Computing. ISLPED 2016: 64-69 - [c10]Aditya Joshi, Johan T. Halseth, Pentti Kanerva:
Language Geometry Using Random Indexing. QI 2016: 265-274 - 2015
- [j6]Gabriel Recchia, Magnus Sahlgren, Pentti Kanerva, Michael N. Jones:
Encoding Sequential Information in Semantic Space Models: Comparing Holographic Reduced Representation and Random Permutation. Comput. Intell. Neurosci. 2015: 986574:1-986574:18 (2015) - [c9]Mika Laiho, Jussi H. Poikonen, Pentti Kanerva, Eero Lehtonen:
High-dimensional computing with sparse vectors. BioCAS 2015: 1-4 - [c8]Mika Laiho, Jonne K. Poikonen, Eero Lehtonen, Mikko Pänkäälä, Jussi H. Poikonen, Pentti Kanerva:
A 512×512-cell associative CAM/Willshaw memory with vector arithmetic. ISCAS 2015: 1350-1353 - 2014
- [j5]Eero Lehtonen, Jussi H. Poikonen, Mika Laiho, Pentti Kanerva:
Large-Scale Memristive Associative Memories. IEEE Trans. Very Large Scale Integr. Syst. 22(3): 562-574 (2014) - [c7]Pentti Kanerva:
Computing with 10, 000-bit words. Allerton 2014: 304-310 - [i1]Aditya Joshi, Johan T. Halseth, Pentti Kanerva:
Language Recognition using Random Indexing. CoRR abs/1412.7026 (2014) - 2013
- [c6]Rosemary D. Paradis, Jinhong K. Guo, Jack Moulton, David Cameron, Pentti Kanerva:
Finding Semantic Equivalence of Text Using Random Index Vectors. Complex Adaptive Systems 2013: 454-459 - 2010
- [c5]Pentti Kanerva:
What We Mean When We Say "What's the Dollar of Mexico?": Prototypes and Mapping in Concept Space. AAAI Fall Symposium: Quantum Informatics for Cognitive, Social, and Semantic Processes 2010
2000 – 2009
- 2009
- [j4]Pentti Kanerva:
Hyperdimensional Computing: An Introduction to Computing in Distributed Representation with High-Dimensional Random Vectors. Cogn. Comput. 1(2): 139-159 (2009) - 2005
- [j3]Nicholas L. Cassimatis, Sean Luke, Simon D. Levy, Ross W. Gayler, Pentti Kanerva, Chris Eliasmith, Timothy W. Bickmore, Alan C. Schultz, Randall Davis, James A. Landay, Robert C. Miller, Eric Saund, Thomas F. Stahovich, Michael L. Littman, Satinder Singh, Shlomo Argamon, Shlomo Dubnov:
Reports on the 2004 AAAI Fall Symposia. AI Mag. 26(1): 98-102 (2005) - 2002
- [j2]Jussi Karlgren, Pentti Kanerva, Björn Gambäck, Kenneth D. Forbus, Kagan Tumer, Peter Stone, Kai Goebel, Gaurav S. Sukhatme, Tucker R. Balch, Bernd Fischer, Doug Smith, Sanda M. Harabagiu, Vinay K. Chaudri, Mike Barley, Hans W. Guesgen, Thomas F. Stahovich, Randall Davis, James A. Landay:
The 2002 AAAI Spring Symposium Series. AI Mag. 23(4): 101-106 (2002)
1990 – 1999
- 1999
- [j1]Pentti Kanerva:
Artificial Minds, Stan Franklin, MIT Press, Cambridge, MA, 1995, xi+449 pp., ISBN 0-262-06178-3 (HB), 0-262-56109-3 (PB). Cogn. Syst. Res. 1(1): 53-57 (1999) - 1998
- [c4]Pentti Kanerva:
Large Patterns Make Great Symbols: An Example of Learning from Example. Hybrid Neural Systems 1998: 194-203 - 1996
- [c3]Pentti Kanerva:
Binary Spatter-Coding of Ordered K-Tuples. ICANN 1996: 869-873
1980 – 1989
- 1989
- [c2]Pentti Kanerva:
A cerebellar-model associative memory as a generalized random-access memory. COMPCON 1989: 570-576 - [c1]Pentti Kanerva:
Contour-Map Encoding of Shape for Early Vision. NIPS 1989: 282-289
Coauthor Index
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