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05/11/2023
Deep Multi-View Subspace Clustering with Anchor Graph
Deep multi-view subspace clustering (DMVSC) has recently attracted incre...
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03/21/2023
Self-Paced Neutral Expression-Disentangled Learning for Facial Expression Recognition
The accuracy of facial expression recognition is typically affected by t...
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10/13/2022
Variational Graph Generator for Multi-View Graph Clustering
Multi-view graph clustering (MGC) methods are increasingly being studied...
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10/11/2022
ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities
We introduce ViLPAct, a novel vision-language benchmark for human activi...
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10/09/2022
Deep Clustering: A Comprehensive Survey
Cluster analysis plays an indispensable role in machine learning and dat...
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05/08/2022
Deep Embedded Multi-View Clustering via Jointly Learning Latent Representations and Graphs
With the representation learning capability of the deep learning models,...
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05/05/2022
Contrastive Multi-view Hyperbolic Hierarchical Clustering
Hierarchical clustering recursively partitions data at an increasingly f...
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12/13/2021
Self-Paced Deep Regression Forests with Consideration on Ranking Fairness
Deep discriminative models (DDMs), such as deep regression forests, deep...
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09/09/2021
EEGDnet: Fusing Non-Local and Local Self-Similarity for 1-D EEG Signal Denoising with 2-D Transformer
Electroencephalogram (EEG) has shown a useful approach to produce a brai...
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06/21/2021
Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering
Multi-view clustering, a long-standing and important research problem, f...
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06/21/2021
Contrastive Multi-Modal Clustering
Multi-modal clustering, which explores complementary information from mu...
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06/21/2021
Graph Attention Networks with LSTM-based Path Reweighting
Graph Neural Networks (GNNs) have been extensively used for mining graph...
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04/19/2021
Non-Linear Fusion for Self-Paced Multi-View Clustering
With the advance of the multi-media and multi-modal data, multi-view clu...
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04/18/2021
Lesion-Inspired Denoising Network: Connecting Medical Image Denoising and Lesion Detection
Deep learning has achieved notable performance in the denoising task of ...
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03/28/2021
Self-supervised Discriminative Feature Learning for Multi-view Clustering
Multi-view clustering is an important research topic due to its capabili...
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12/30/2020
A Subword Guided Neural Word Segmentation Model for Sindhi
Deep neural networks employ multiple processing layers for learning text...
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07/26/2020
Deep Embedded Multi-view Clustering with Collaborative Training
Multi-view clustering has attracted increasing attentions recently by ut...
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04/03/2020
Self-Paced Deep Regression Forests with Consideration on Underrepresented Samples
Deep discriminative models (e.g. deep regression forests, deep Gaussian ...
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10/08/2019
Self-Paced Deep Regression Forests for Facial Age Estimation
Facial age estimation is an important and challenging problem in compute...
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05/11/2019
Ranking-based Deep Cross-modal Hashing
Cross-modal hashing has been receiving increasing interests for its low ...
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12/17/2018
Latent Dirichlet Allocation in Generative Adversarial Networks
Mode collapse is one of the key challenges in the training of Generative...
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12/11/2018
Deep Density-based Image Clustering
Recently, deep clustering, which is able to perform feature learning tha...
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08/24/2018