Zobrazeno 1 - 10
of 258
pro vyhledávání: '"Park, Jonghun"'
Autor:
Gladysz Bartlomiej, Krystosiak Krzysztof, Buczacki Aleksander, Quadrini Walter, Ejsmont Krzysztof, Kluczek Aldona, Park Jonghun, Fumagalli Luca
Publikováno v:
Engineering Management in Production and Services, Vol 16, Iss 2, Pp 51-67 (2024)
Industry 4.0 (I4.0) became an important paradigm to bridge the gap between technologies and humans. The paper aims to diagnose sustainability performance and I4.0 maturity in Poland’s printing and packaging sector and identify research areas where
Externí odkaz:
https://doaj.org/article/4ace055e6ec0417f9ac21d83ff37f8f1
Autor:
Park, Jonghun
Sustainability is one of the most critical issues in today's packaging and supply chain industries. With the increase of environmental concerns, there has been a tremendous effort to improve packaging sustainability. However, most of these works have
Externí odkaz:
http://hdl.handle.net/10919/73556
Understanding vision and language representations of product content is vital for search and recommendation applications in e-commerce. As a backbone for online shopping platforms and inspired by the recent success in representation learning research
Externí odkaz:
http://arxiv.org/abs/2207.00208
Inferring the probability distribution of sentences or word sequences is a key process in natural language processing. While word-level language models (LMs) have been widely adopted for computing the joint probabilities of word sequences, they have
Externí odkaz:
http://arxiv.org/abs/2103.07875
Autor:
Yoon, Sangwoong, Kang, Woo Young, Jeon, Sungwook, Lee, SeongEun, Han, Changjin, Park, Jonghun, Kim, Eun-Sol
As a scene graph compactly summarizes the high-level content of an image in a structured and symbolic manner, the similarity between scene graphs of two images reflects the relevance of their contents. Based on this idea, we propose a novel approach
Externí odkaz:
http://arxiv.org/abs/2012.14700
Publikováno v:
Quantum Machine Intelligence 2, 1-11 (2020)
Learning a hidden parity function from noisy data, known as learning parity with noise (LPN), is an example of intelligent behavior that aims to generalize a concept based on noisy examples. The solution to LPN immediately leads to decoding a random
Externí odkaz:
http://arxiv.org/abs/1910.00781
Chord recognition is an important task since chords are highly abstract and descriptive features of music. For effective chord recognition, it is essential to utilize relevant context in audio sequence. While various machine learning models such as c
Externí odkaz:
http://arxiv.org/abs/1907.02698
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