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A Vocabulary Forest Object Matching Processor With 2.07 M-Vector/s Throughput and 13.3 nJ/Vector Per-Vector Energy for Full-HD 60 fps Video Object Recognition
Research article (IEEE Journal of Solid-State Circuits, 2015) · cited 21× · AI/ML
A Vocabulary Forest Object Matching Processor With 2.07 M-Vector/s Throughput and 13.3 nJ/Vector Per-Vector Energy for Full-HD 60 fps Video Object Recognition
Summary
A Vocabulary Forest Object Matching Processor With 2.07 M-Vector/s Throughput and 13.3 nJ/Vector Per-Vector Energy for Full-HD 60 fps Video Object Recognition is a scholarly article[1].
Key Facts
A Vocabulary Forest Object Matching Processor With 2.07 M-Vector/s Throughput and 13.3 nJ/Vector Per-Vector Energy for Full-HD 60 fps Video Object Recognition's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A Vocabulary Forest Object Matching Processor With 2.07 M-Vector/s Throughput and 13.3 nJ/Vector Per-Vector Energy for Full-HD 60 fps Video Object Recognition. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-vocabulary-forest-object-matching-processor-with-2-07-m-vector-s-throughput-and-13-3-nj-vector-per-vector-energy-for-f
MLA“A Vocabulary Forest Object Matching Processor With 2.07 M-Vector/s Throughput and 13.3 nJ/Vector Per-Vector Energy for Full-HD 60 fps Video Object Recognition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-vocabulary-forest-object-matching-processor-with-2-07-m-vector-s-throughput-and-13-3-nj-vector-per-vector-energy-for-f.
BibTeX@misc{4ortxyz_a-vocabulary-forest-object-matching-processor-with-2-07-m-vector-s-throughput-and-13-3-nj-vector-per-vector-energy-for-f_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Vocabulary Forest Object Matching Processor With 2.07 M-Vector/s Throughput and 13.3 nJ/Vector Per-Vector Energy for Full-HD 60 fps Video Object Recognition}}, year = {2026}, url = {https://4ort.xyz/entity/a-vocabulary-forest-object-matching-processor-with-2-07-m-vector-s-throughput-and-13-3-nj-vector-per-vector-energy-for-f}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Vocabulary Forest Object Matching Processor With 2.07 M-Vector/s Throughput and 13.3 nJ/Vector Per-Vector Energy for Full-HD 60 fps Video Object Recognition — https://4ort.xyz/entity/a-vocabulary-forest-object-matching-processor-with-2-07-m-vector-s-throughput-and-13-3-nj-vector-per-vector-energy-for-f (retrieved 2026-05-24)
