Memory-efficient Edge-based Non-Neural Face Recognition Algorithm on the Parallel Ultra-Low Power (PULP) Cluster-Reference-Cited by-同舟云学术

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Memory-efficient Edge-based Non-Neural Face Recognition Algorithm on the Parallel Ultra-Low Power (PULP) Cluster

Published:2023-12-18 Issue: Volume:abs/2102.02147 Page:347-353
ISSN:
Container-title:2023 IEEE 16th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)
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Author:

Nagar Mitul Sudhirkumar¹,Maiti Sayantan¹,Kumar Rahul¹,Mewada Hiren²,Engineer Pinalkumar¹

Affiliation:

1. Sardar Vallabhbhai National Institute of Technology,Department of Electronics Engineering,Surat,India

2. Prince Mohammad Bin Fahd University,Electrical Engineering Department,Alkhobar,Saudi Arabia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10387741/10387791/10387908.pdf?arnumber=10387908

Reference18 articles.

1. Parallelizing Non-Neural ML Algorithm for Edge-based Face Recognition on Parallel Ultra-Low Power (PULP) Cluster

2. DNN Is Not All You Need: Parallelizing Non-neural ML Algorithms on Ultra-low-power IoT Processors

3. Microprocessor Optimizations for the Internet of Things: A Survey

4. PULPissimo: Datasheet

5. 512KiB RAM Is Enough! Live Camera Face Recognition DNN on MCU

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