In-depth exploration of attribute information for person re-identification
Sign Up to like & getrecommendations! Published in 2020 at "Applied Intelligence"
DOI: 10.1007/s10489-020-01752-x
Abstract: Pedestrian’s attribute information plays an important role in person re-identification (re-ID) for its complementary to pedestrian’s identity labels. However, there are few methods to utilize attribute information, which limits the development of re-ID community. In… read more here.
Keywords: attribute information; exploration attribute; identification; information ... See more keywords
Investigating consumer decision strategies with systems factorial technology
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Mathematical Psychology"
DOI: 10.1016/j.jmp.2019.03.003
Abstract: Abstract People routinely make multi-attribute decisions about consumer items, such as products and services. The potentially complex decision strategies underlying such consumer decisions have recently been investigated in detail, with most researchers restricting their focus… read more here.
Keywords: decision strategies; attribute information; consumer decision; consumer ... See more keywords
NEMPD: a network embedding-based method for predicting miRNA-disease associations by preserving behavior and attribute information
Sign Up to like & getrecommendations! Published in 2020 at "BMC Bioinformatics"
DOI: 10.1186/s12859-020-03716-x
Abstract: Background As an important non-coding RNA, microRNA (miRNA) plays a significant role in a series of life processes and is closely associated with a variety of Human diseases. Hence, identification of potential miRNA-disease associations can… read more here.
Keywords: information; network; disease associations; disease ... See more keywords
Information Fusion-Based Deep Neural Attentive Matrix Factorization Recommendation
Sign Up to like & getrecommendations! Published in 2021 at "Algorithms"
DOI: 10.3390/a14100281
Abstract: The emergence of the recommendation system has effectively alleviated the information overload problem. However, traditional recommendation systems either ignore the rich attribute information of users and items, such as the user’s social-demographic features, the item’s… read more here.
Keywords: recommendation; information; deep neural; information fusion ... See more keywords
Prediction Modeling of Ground Subsidence Risk Based on Machine Learning Using the Attribute Information of Underground Utilities in Urban Areas in Korea
Sign Up to like & getrecommendations! Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13095566
Abstract: As ground subsidence accidents in urban areas that occur due to damage to underground utilities can cause great damage, it is necessary to predict and prepare for such accidents in order to minimize such damage.… read more here.
Keywords: ground subsidence; risk; ground; attribute information ... See more keywords
Design and Application of Deep Hash Embedding Algorithm with Fusion Entity Attribute Information
Sign Up to like & getrecommendations! Published in 2023 at "Entropy"
DOI: 10.3390/e25020361
Abstract: Hash is one of the most widely used methods for computing efficiency and storage efficiency. With the development of deep learning, the deep hash method shows more advantages than traditional methods. This paper proposes a… read more here.
Keywords: entity attribute; entity; attribute information; deep hash ... See more keywords
Attribute Network Representation Learning with Dual Autoencoders
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14091840
Abstract: The purpose of attribute network representation learning is to learn the low-dimensional dense vector representation of nodes by combining structure and attribute information. The current network representation learning methods have insufficient interaction with structure when… read more here.
Keywords: information; network; network representation; representation learning ... See more keywords