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Deep multi-view learning methods: A review
Multi-view learning (MVL) has attracted increasing attention and achieved great practical
success by exploiting complementary information of multiple features or modalities …
success by exploiting complementary information of multiple features or modalities …
Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities
New technologies have enabled the investigation of biology and human health at an
unprecedented scale and in multiple dimensions. These dimensions include a myriad of …
unprecedented scale and in multiple dimensions. These dimensions include a myriad of …
Unified one-step multi-view spectral clustering
Multi-view spectral clustering, which exploits the complementary information among graphs
of diverse views to obtain superior clustering results, has attracted intensive attention …
of diverse views to obtain superior clustering results, has attracted intensive attention …
Efficient and effective one-step multiview clustering
Multiview clustering algorithms have attracted intensive attention and achieved superior
performance in various fields recently. Despite the great success of multiview clustering …
performance in various fields recently. Despite the great success of multiview clustering …
Multi-view clustering: A survey
In the big data era, the data are generated from different sources or observed from different
views. These data are referred to as multi-view data. Unleashing the power of knowledge in …
views. These data are referred to as multi-view data. Unleashing the power of knowledge in …
Joint unsupervised learning of deep representations and image clusters
In this paper, we propose a recurrent framework for joint unsupervised learning of deep
representations and image clusters. In our framework, successive operations in a clustering …
representations and image clusters. In our framework, successive operations in a clustering …
Survey on deep multi-modal data analytics: Collaboration, rivalry, and fusion
With the development of web technology, multi-modal or multi-view data has surged as a
major stream for big data, where each modal/view encodes individual property of data …
major stream for big data, where each modal/view encodes individual property of data …
Multiview spectral clustering via structured low-rank matrix factorization
Multiview data clustering attracts more attention than their single-view counterparts due to
the fact that leveraging multiple independent and complementary information from multiview …
the fact that leveraging multiple independent and complementary information from multiview …
Dynamic affinity graph construction for spectral clustering using multiple features
Spectral clustering (SC) has been widely applied to various computer vision tasks, where
the key is to construct a robust affinity matrix for data partitioning. With the increase in visual …
the key is to construct a robust affinity matrix for data partitioning. With the increase in visual …
Multi-view spectral clustering via integrating nonnegative embedding and spectral embedding
The application of most existing multi-view spectral clustering methods is generally limited
by the following three deficiencies. First, the requirement to post-processing, such as K …
by the following three deficiencies. First, the requirement to post-processing, such as K …