Incomplete multi-modal representation learning for Alzheimer's disease diagnosis
Sign Up to like & getrecommendations! Published in 2021 at "Medical image analysis"
DOI: 10.1016/j.media.2020.101953
Abstract: Alzheimers disease (AD) is a complex neurodegenerative disease. Its early diagnosis and treatment have been a major concern of researchers. Currently, the multi-modality data representation learning of this disease is gradually becoming an emerging research… read more here.
Keywords: representation learning; incomplete multi; multi; view ... See more keywords
High-Order Correlation Preserved Incomplete Multi-View Subspace Clustering
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3147046
Abstract: Incomplete multi-view clustering aims to exploit the information of multiple incomplete views to partition data into their clusters. Existing methods only utilize the pair-wise sample correlation and pair-wise view correlation to improve the clustering performance… read more here.
Keywords: view; high order; multi view; incomplete multi ... See more keywords
NIM-Nets: Noise-Aware Incomplete Multi-View Learning Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3226408
Abstract: Data in real world are usually characterized in multiple views, including different types of features or different modalities. Multi-view learning has been popular in the past decades and achieved significant improvements. In this paper, we… read more here.
Keywords: view; nim nets; view learning; multi view ... See more keywords
Adaptive Feature Projection With Distribution Alignment for Deep Incomplete Multi-View Clustering
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2023.3243521
Abstract: Incomplete multi-view clustering (IMVC) analysis, where some views of multi-view data usually have missing data, has attracted increasing attention. However, existing IMVC methods still have two issues: 1) they pay much attention to imputing or… read more here.
Keywords: incomplete multi; distribution alignment; multi view; feature ... See more keywords
Incomplete Multi-View Clustering With Reconstructed Views
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DOI: 10.1109/tkde.2021.3112114
Abstract: As one category of important incomplete multi-view clustering methods, subspace based methods seek the common latent representation of incomplete multi-view data by matrix factorization and then partition the latent representation to get clustering results. However,… read more here.
Keywords: reconstructed views; multi view; incomplete multi; view clustering ... See more keywords
Incomplete Multi-View Clustering With Sample-Level Auto-Weighted Graph Fusion
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2022.3171911
Abstract: Incomplete multi-view clustering (IMC) has received considerable attention due to its flexibility in fusing the multi-view information when the view samples are partly missing. However, existing methods seldom consider the affection of the missing samples… read more here.
Keywords: view; sample level; multi view; graph fusion ... See more keywords
Relation-aware Shared Representation Learning for Cancer Prognosis Analysis with Auxiliary Clinical Variables and Incomplete Multi-modality Data.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on medical imaging"
DOI: 10.1109/tmi.2021.3108802
Abstract: The integrative analysis of complementary phenotype information contained in multi-modality data (e.g., histopathological images and genomic data) has advanced the prognostic evaluation of cancers. However, multi-modality based prognosis analysis confronts two challenges: (1) how to… read more here.
Keywords: incomplete multi; analysis; modality data; modality ... See more keywords
Refining Graph Structure for Incomplete Multi-View Clustering.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3189763
Abstract: As a challenging problem, incomplete multi-view clustering (MVC) has drawn much attention in recent years. Most of the existing methods contain the feature recovering step inevitably to obtain the clustering result of incomplete multi-view datasets.… read more here.
Keywords: graph; incomplete multi; graph structure; multi view ... See more keywords
Fast Incomplete Multi-View Clustering With View-Independent Anchors.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3220486
Abstract: Multi-view clustering (MVC) methods aim to exploit consistent and complementary information among each view and achieve encouraging performance improvement than single-view counterparts. In practical applications, it is common to obtain instances with partially available information,… read more here.
Keywords: view; independent anchors; multi view; incomplete multi ... See more keywords
Deep Double Incomplete Multi-View Multi-Label Learning With Incomplete Labels and Missing Views.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3260349
Abstract: View missing and label missing are two challenging problems in the applications of multi-view multi-label classification scenery. In the past years, many efforts have been made to address the incomplete multi-view learning or incomplete multi-label… read more here.
Keywords: view; multi view; multi label; incomplete multi ... See more keywords
Late Fusion Incomplete Multi-View Clustering
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2018.2879108
Abstract: Incomplete multi-view clustering optimally integrates a group of pre-specified incomplete views to improve clustering performance. Among various excellent solutions, multiple kernel $k$k-means with incomplete kernels forms a benchmark, which redefines the incomplete multi-view clustering as… read more here.
Keywords: view clustering; multi view; incomplete multi; late fusion ... See more keywords