An overview of recommendation techniques and their applications in healthcare
With the increasing amount of information on the internet, recommendation system (RS) has
been utilized in a variety of fields as an efficient tool to overcome information overload. In …
been utilized in a variety of fields as an efficient tool to overcome information overload. In …
A latent factor analysis-based approach to online sparse streaming feature selection
Online streaming feature selection (OSFS) has attracted extensive attention during the past
decades. Current approaches commonly assume that the feature space of fixed data …
decades. Current approaches commonly assume that the feature space of fixed data …
Fast and accurate non-negative latent factor analysis of high-dimensional and sparse matrices in recommender systems
A fast non-negative latent factor (FNLF) model for a high-dimensional and sparse (HiDS)
matrix adopts a Single Latent Factor-dependent, Non-negative, Multiplicative and …
matrix adopts a Single Latent Factor-dependent, Non-negative, Multiplicative and …
A prediction-sampling-based multilayer-structured latent factor model for accurate representation to high-dimensional and sparse data
Performing highly accurate representation learning on a high-dimensional and sparse
(HiDS) matrix is of great significance in a big data-related application such as a …
(HiDS) matrix is of great significance in a big data-related application such as a …
An L1-and-L2-Norm-Oriented Latent Factor Model for Recommender Systems
A recommender system (RS) is highly efficient in filtering people's desired information from
high-dimensional and sparse (HiDS) data. To date, a latent factor (LF)-based approach …
high-dimensional and sparse (HiDS) data. To date, a latent factor (LF)-based approach …
Human gait recognition: A systematic review
A biometric system is a technology that utilizes an individual's unique physiological and
behavioral characteristics to identify and authenticate them. It falls under the category of …
behavioral characteristics to identify and authenticate them. It falls under the category of …
Diversified regularization enhanced training for effective manipulator calibration
Recently, robot arms have become an irreplaceable production tool, which play an important
role in the industrial production. It is necessary to ensure the absolute positioning accuracy …
role in the industrial production. It is necessary to ensure the absolute positioning accuracy …
Robust latent factor analysis for precise representation of high-dimensional and sparse data
High-dimensional and sparse (HiDS) matrices commonly arise in various industrial
applications, eg, recommender systems (RSs), social networks, and wireless sensor …
applications, eg, recommender systems (RSs), social networks, and wireless sensor …
A deep latent factor model for high-dimensional and sparse matrices in recommender systems
Recommender systems (RSs) commonly adopt a user-item rating matrix to describe users'
preferences on items. With users and items exploding, such a matrix is usually high …
preferences on items. With users and items exploding, such a matrix is usually high …
Advancing non-negative latent factorization of tensors with diversified regularization schemes
Dynamic relationships are frequently encountered in big data and services computing-
related applications, like dynamic data of user-side QoS in Web services. They are modeled …
related applications, like dynamic data of user-side QoS in Web services. They are modeled …