Zobrazeno 1 - 10
of 1 551
pro vyhledávání: '"structured prediction"'
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 1567-1575 (2022)
An efficient inverse optimal control method named Adaptive Reference IOC is introduced to study natural walking with musculoskeletal models. Adaptive Reference IOC utilizes efficient inner-loop direct collocation for optimal trajectory prediction alo
Externí odkaz:
https://doaj.org/article/b75254c74b224532bdfaf39d1bffedd9
Autor:
Tingting Fu, Ying Li
Publikováno v:
IEEE Access, Vol 9, Pp 87049-87057 (2021)
Unsupervised domain adaptation aims to align the distributions of data in source and target domains, as well as assign the labels to data in the target domain. In this paper, we propose a new method named Unsupervised Domain Adaptation based on Pseud
Externí odkaz:
https://doaj.org/article/b154efd87f42453faea3912766f5c447
Autor:
Lu, You
Data is complex and has a variety of structures and formats. Modeling datasets is a core problem in modern artificial intelligence. Generative models are machine learning models, which model datasets with probability distributions. Deep generative mo
Externí odkaz:
http://hdl.handle.net/10919/108085
Autor:
Filip Boltužić, Jan Šnajder
Publikováno v:
Automatika, Vol 61, Iss 3, Pp 361-370 (2020)
The internet abounds with opinions expressed in text. While a number of natural language processing techniques have been proposed for opinion analysis from text, most offer only a shallow analysis without providing any insights into reasons supportin
Externí odkaz:
https://doaj.org/article/0b7f426ae77f4fbdb0c819614077ef58
Autor:
Zhe Jiang
Publikováno v:
IEEE Access, Vol 8, Pp 38714-38727 (2020)
Spatial structure patterns are prevalent in many real-world data and applications. For example, in biochemistry, the geometric topology of a molecular surface indicates protein functions; in hydrology, irregular geographic terrains and topography on
Externí odkaz:
https://doaj.org/article/fe400444fcbb46e39989a1c75cfab046
Autor:
Kastner, Kyle
Cette thèse consiste en une série d’approches pour la modélisation de décision structurée - c’est-à-dire qu’elle propose des solutions utilisant des modèles génératifs pour des tâches intégrant plusieurs entrées et sorties, ces entr
Externí odkaz:
http://hdl.handle.net/1866/32582
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 45:7035-7049
In this work, we consider transferring the structure information from large networks to compact ones for dense prediction tasks in computer vision. Previous knowledge distillation strategies used for dense prediction tasks often directly borrow the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d7fd83ae6c8f16646101dd7a076bbf0
https://doi.org/10.1109/tpami.2020.3001940
https://doi.org/10.1109/tpami.2020.3001940
Autor:
Li, Yu
Using machine learning, especially deep learning, to facilitate biological research is a fascinating research direction. However, in addition to the standard classi cation or regression problems, whose outputs are simple vectors or scalars, in bioinf
Externí odkaz:
http://hdl.handle.net/10754/665729
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