A Brain-inspired Hierarchical Interactive In-memory Computing System and its Application in Video Sentiment Analysis

Video sentiment analysis can effectively establish the relationship between the emotion state and the multimodal information, while still suffer from intensive computation and low efficiency, due to the von Neumann computing architecture. Here, we present a brain-inspired hierarchical interactive in...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on circuits and systems for video technology Jg. 33; H. 12; S. 1
Hauptverfasser:	Ji, Xiaoyue, Dong, Zhekang, Han, Yifeng, Lai, Chun Sing, Qi, Donglian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.12.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Brain Brain-inspired Computational efficiency Computer memory Computing time Data mining Feature extraction hierarchical interactive In-memory computing in-memory computing (IMC) Interactive systems Memristors Modules Nanomaterials Robustness (mathematics) Semantics Sentiment analysis Synapses Transformers
ISSN:	1051-8215, 1558-2205
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!