Skip to main content
누빈트
에이전트
더 알아보기
요금제
회사 소개
KO
Home
논문 리뷰
Engineering
Engineering 논문 리뷰
Engineering 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
전체
Computer Science
Mathematics
Physics and Astronomy
Engineering
Materials Science
Chemistry
Chemical Engineering
Earth and Planetary Sciences
Environmental Science
Energy
Biochemistry, Genetics and Molecular Biology
Neuroscience
Immunology and Microbiology
Agricultural and Biological Sciences
Medicine
Pharmacology, Toxicology and Pharmaceutics
Health Professions
Economics, Econometrics and Finance
Business, Management and Accounting
Decision Sciences
Social Sciences
Psychology
Arts and Humanities
필터
9999+개의 결과
On the extension of trace norm to tensors
Ryota Tomioka, Kohei Hayashi 외 1명
arXiv (Cornell University)
|
2010
|
28 회 인용
Optimal Feedback Law Recovery by Gradient-Augmented Sparse Polynomial Regression
Behzad Azmi, Dante Kalise 외 1명
arXiv (Cornell University)
|
2020
|
28 회 인용
PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
Mutian Xu, Runyu Ding 외 2명
arXiv (Cornell University)
|
2021
|
28 회 인용
Pervasive Service Architecture for a Digital Business Ecosystem
Thomas Heistracher, Thomas Kurz 외 6명
arXiv (Cornell University)
|
2004
|
28 회 인용
Photometric Redshifts based on standard SED fitting procedures
M. Bolzonella, Joan-Marc Miralles 외 1명
arXiv (Cornell University)
|
2000
|
28 회 인용
Physics Potential of Very Intense Conventional Neutrino Beams
J.J. Gómez-Cadenas, A. Blondel 외 6명
ArXiv.org
|
2001
|
28 회 인용
PoET: Pose Estimation Transformer for Single-View, Multi-Object 6D Pose Estimation
Thomas Jantos, Mohamed Amin Hamdad 외 3명
arXiv (Cornell University)
|
2022
|
28 회 인용
Proceedings of the 38th International Symposium on Multiparticle Dynamics (ISMD08)
J. Bartels, K. Borras 외 117명
arXiv (Cornell University)
|
2009
|
28 회 인용
Projection onto the capped simplex
Weiran Wang, Canyi Lu
arXiv (Cornell University)
|
2015
|
28 회 인용
Proximal-Proximal-Gradient Method
Ernest K. Ryu, Wotao Yin
arXiv (Cornell University)
|
2017
|
28 회 인용
259
260
261
262
263
