Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Yaesop Lee"'
Autor:
Yi-Ting Shen, Yaesop Lee, Heesung Kwon, Damon M. Conover, Shuvra S. Bhattacharyya, Nikolas Vale, Joshua D. Gray, G. Jeremy Leong, Kenneth Evensen, Frank Skirlo
Publikováno v:
IEEE Access, Vol 11, Pp 80958-80972 (2023)
Learning to detect objects, such as humans, in imagery captured by an unmanned aerial vehicle (UAV) usually suffers from tremendous variations caused by the UAV’s position towards the objects. In addition, existing UAV-based benchmark datasets do n
Externí odkaz:
https://doaj.org/article/26f6b501c3a74f4db92f18ab92d00b23
Autor:
Yaesop Lee, Jing Xie, Eungjoo Lee, Srijesh Sudarsanan, Da-Ting Lin, Rong Chen, Shuvra S. Bhattacharyya
Publikováno v:
Frontiers in Computational Neuroscience, Vol 14 (2020)
Real-time neuron detection and neural activity extraction are critical components of real-time neural decoding. In this paper, we propose a novel real-time neuron detection and activity extraction system using a dataflow framework to provide real-tim
Externí odkaz:
https://doaj.org/article/85504a4bba974e489f0532cb3632de74
Publikováno v:
2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).
Autor:
Yaesop Lee, Eung-Joo Lee, Damon M. Conover, Yi-Ting Shen, Heesung Kwon, Shuvra S. Bhattacharyya, Jason Hill, Kenneth Evensen, Jeremy Leong
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV.
Publikováno v:
Advanced Robotics. 35:459-470
We present a novel neural decoding system for calcium imaging data. Miniature calcium imaging is of great utility for examining population neural activity of animals. Our neural decoding system is ...
Publikováno v:
Journal of Signal Processing Systems
Journal of Signal Processing Systems, Springer, 2020, 92 (10), pp.1133-1151. ⟨10.1007/s11265-020-01581-8⟩
Journal of Signal Processing Systems, 2020, 92 (10), pp.1133-1151. ⟨10.1007/s11265-020-01581-8⟩
Journal of Signal Processing Systems, Springer, 2020, 92 (10), pp.1133-1151. ⟨10.1007/s11265-020-01581-8⟩
Journal of Signal Processing Systems, 2020, 92 (10), pp.1133-1151. ⟨10.1007/s11265-020-01581-8⟩
International audience; In dataflow representations for signal processing systems, applications are represented as directed graphs in which vertices represent computations and edges correspond to buffers that store data as it passes among computation
Autor:
Christopher Defrancisci, Kyunghun Lee, Jiahao Wu, Abhay Raina, Benjamin S. Riggan, Yanzhou Liu, Yaesop Lee, Shuvra S. Bhattacharyya
Publikováno v:
SN Applied Sciences. 3
The dataflow-model of computation is widely used in design and implementation of signal processing systems. In dataflow-based design processes, scheduling—the assignment and coordination of computational modules across processing resources—is a c
Publikováno v:
BioCAS
We present a novel real-time neural decoding system for calcium imaging data. Miniature calcium imaging is of great utility for examining neural activity in populations of animals. Our real-time neural decoding system is developed using a carefully-d
Autor:
Sreenuj Chellath Madayambath, Rong Chen, Yaesop Lee, Da-Ting Lin, Yanzhou Liu, Shuvra S. Bhattacharyya
Publikováno v:
CBS
Neural decoding focuses on predicting behavior variables based on neural activities. Linear discriminant analysis (LDA) has been successfully used in pattern recognition and machine learning to find the set of discriminant vectors to characterize two