A survey on multiview clustering
Clustering is a machine learning paradigm of dividing sample subjects into a number of
groups such that subjects in the same groups are more similar to those in other groups. With …
groups such that subjects in the same groups are more similar to those in other groups. With …
A reinforcement learning method for human-robot collaboration in assembly tasks
The assembly process of high precision products involves a variety of delicate operations
that are time-consuming and energy-intensive. Neither the human operators nor the robots …
that are time-consuming and energy-intensive. Neither the human operators nor the robots …
Deep learning-based person re-identification methods: A survey and outlook of recent works
In recent years, with the increasing demand for public safety and the rapid development of
intelligent surveillance networks, person re-identification (Re-ID) has become one of the hot …
intelligent surveillance networks, person re-identification (Re-ID) has become one of the hot …
A feature-reduction multi-view k-means clustering algorithm
MS Yang, KP Sinaga - IEEE Access, 2019 - ieeexplore.ieee.org
The k-means clustering algorithm is the oldest and most known method in cluster analysis. It
has been widely studied with various extensions and applied in a variety of substantive …
has been widely studied with various extensions and applied in a variety of substantive …
Multi-view clustering by non-negative matrix factorization with co-orthogonal constraints
Non-negative matrix factorization (NMF) has attracted sustaining attention in multi-view
clustering, because of its ability of processing high-dimensional data. In order to learn the …
clustering, because of its ability of processing high-dimensional data. In order to learn the …
A comprehensive overview of person re-identification approaches
H Wang, H Du, Y Zhao, J Yan - Ieee Access, 2020 - ieeexplore.ieee.org
Person re-identification, identifying and tracking pedestrians in cross-domain monitoring
systems, is an important technology in the computer vision field and of real significance for …
systems, is an important technology in the computer vision field and of real significance for …
Collaborative feature-weighted multi-view fuzzy c-means clustering
MS Yang, KP Sinaga - Pattern Recognition, 2021 - Elsevier
Fuzzy c-means (FCM) clustering had been extended for handling multi-view data with
collaborative idea. However, these collaborative multi-view FCM treats multi-view data …
collaborative idea. However, these collaborative multi-view FCM treats multi-view data …
Multi-view clustering via deep concept factorization
Recent studies have shown the satisfactory results of the matrix factorization technique in
Multi-view Clustering (MVC). Compared with the single-layer formed clustering models, the …
Multi-view Clustering (MVC). Compared with the single-layer formed clustering models, the …
Weakly supervised tracklet association learning with video labels for person re-identification
M Liu, Y Bian, Q Liu, X Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Supervised person re-identification (re-id) methods require expensive manual labeling
costs. Although unsupervised re-id methods can reduce the requirement of the labeled …
costs. Although unsupervised re-id methods can reduce the requirement of the labeled …
An intelligent correlation learning system for person Re-identification
Person re-identification (PRe-id) aims to retrieve a target person's images captured across
multiple/single non-overlapping cameras. To this end, significant techniques have been …
multiple/single non-overlapping cameras. To this end, significant techniques have been …