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Engineering 논문 리뷰
Engineering 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
Combining geometry and combinatorics: A unified approach to sparse signal recovery
Radu Berinde, Anna C. Gilbert 외 3명
ArXiv.org
|
2008
|
31 회 인용
Constrained Contextual Bandit Learning for Adaptive Radar Waveform Selection
Charles E. Thornton, R. Michael Buehrer 외 1명
arXiv (Cornell University)
|
2021
|
31 회 인용
Cortical microcircuits as gated-recurrent neural networks
Rui Ponte Costa, Yannis Assael 외 3명
arXiv (Cornell University)
|
2017
|
31 회 인용
Deep Learning Features at Scale for Visual Place Recognition
Zetao Chen, Adam Jacobson 외 6명
arXiv (Cornell University)
|
2017
|
31 회 인용
Deep Reinforcement Learning for Intelligent Transportation Systems
Xiaoyang Liu, Zihan Ding 외 2명
arXiv (Cornell University)
|
2018
|
31 회 인용
Deep Residual Learning and PDEs on Manifold
Zhen Li, Zuoqiang Shi
arXiv (Cornell University)
|
2017
|
31 회 인용
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport
Marvin Eisenberger, Aysim Toker 외 2명
arXiv (Cornell University)
|
2020
|
31 회 인용
DeepTerramechanics: Terrain Classification and Slip Estimation for Ground Robots via Deep Learning
R. Gonzalez, Karl Iagnemma
arXiv (Cornell University)
|
2018
|
31 회 인용
Design of Efficient Convolutional Layers using Single Intra-channel Convolution, Topological Subdivisioning and Spatial "Bottleneck" Structure
Min Wang, Baoyuan Liu 외 1명
arXiv (Cornell University)
|
2016
|
31 회 인용
Distributed Coordinated Transmission with Forward-Backward Training for 5G Radio Access
Antti Tölli, Hadi Ghauch 외 8명
arXiv (Cornell University)
|
2018
|
31 회 인용
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