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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
ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI
Yan Yang, Jian Sun 외 2명
arXiv (Cornell University)
|
2017
|
91 회 인용
BundleFusion: Real-time Globally Consistent 3D Reconstruction using On-the-fly Surface Re-integration
Angela Dai, Matthias Nießner 외 3명
arXiv (Cornell University)
|
2016
|
91 회 인용
Characterizing Driving Styles with Deep Learning
Weishan Dong, Jian Li 외 4명
arXiv (Cornell University)
|
2016
|
91 회 인용
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks
Nitin Rathi, Kaushik Roy
arXiv (Cornell University)
|
2020
|
91 회 인용
Influence of halide composition on the structural, electronic, and optical properties of mixed CH$_3$NH$_3$Pb(I$_{1-x}$Br$_x$)$_3$ perovskites calculated using the virtual crystal approximation method
Un-Gi Jong, Chol‐Jun Yu 외 2명
arXiv (Cornell University)
|
2016
|
91 회 인용
Large-Scale Convex Minimization with a Low-Rank Constraint
Shai Shalev‐Shwartz, Alon Gonen 외 1명
arXiv (Cornell University)
|
2011
|
91 회 인용
Loss minimization and parameter estimation with heavy tails
Daniel Hsu, Sivan Sabato
arXiv (Cornell University)
|
2016
|
91 회 인용
Lower bounds on the performance of polynomial-time algorithms for sparse linear regression
Yuchen Zhang, Martin J. Wainwright 외 1명
arXiv (Cornell University)
|
2014
|
91 회 인용
MetaSDF: Meta-learning Signed Distance Functions
Vincent Sitzmann, Eric R. Chan 외 3명
arXiv (Cornell University)
|
2020
|
91 회 인용
Rank-Sparsity Incoherence for Matrix Decomposition
Venkat Chandrasekaran, Sujay Sanghavi 외 2명
2009
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91 회 인용
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