Name
Abstract | ||
|---|---|---|
Brain-Inspired hyperdimensional computing is a quickly emerging alternative machine-learning concept. Hypervectors with thousands of dimensions represent real-world data. Thanks to this redundancy, the system becomes robust against noise in the input data, but also resilient against faults, similar to the human brain. The light-weight operations with hypervectors are fully parallelizable enabling ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ITC50571.2021.00020 | 2021 IEEE International Test Conference (ITC) |
Keywords | DocType | ISSN |
hyperdimensional computing,HDC,brain inspired,wafer map defect pattern,classification,wafer map,VSA | Conference | 1089-3539 |
ISBN | Citations | PageRank |
978-1-6654-1695-5 | 3 | 0.43 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paul R. Genssler | 1 | 3 | 0.43 |
| Hussam Amrouch | 2 | 251 | 50.22 |