Cite Article
Cite Article
MLA
Joshi, Manoj, et al. "One, Five, and Ten-Shot-Based Meta-Learning for Computationally Efficient Head Pose Estimation." IJERTCS vol.14, no.1 2023: pp.1-24. http://doi.org/10.4018/IJERTCS.316877
APA
Joshi, M., Pant, D. R., Heikkonen, J., & Kanth, R. (2023). One, Five, and Ten-Shot-Based Meta-Learning for Computationally Efficient Head Pose Estimation. International Journal of Embedded and Real-Time Communication Systems (IJERTCS), 14 (1), 1-24. http://doi.org/10.4018/IJERTCS.316877
Chicago
Joshi, Manoj, et al. "One, Five, and Ten-Shot-Based Meta-Learning for Computationally Efficient Head Pose Estimation," International Journal of Embedded and Real-Time Communication Systems (IJERTCS) 14, no.1: 1-24. http://doi.org/10.4018/IJERTCS.316877
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International Journal of Embedded and Real-Time Communication Systems (IJERTCS) The International Journal of Embedded and Real-Time Communication Systems (IJERTCS) is an international refereed research journal integrating the disciplines of embedded systems, real-time systems, and communications system engineering. IJERTCS encompasses research from computer science, computer engineering, and telecommunication engineering, focusing on how these disciplines interact in the field of embedded and real-time systems for communication. This journal offers its readership both theoretical and practical research facilitating the convergence of embedded systems, real-time computing, and communication system technologies and paradigms.
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