Tu W, Zhou S, Liu X, et al. Deep fusion clustering network[C]//Proceedings of the AAAI Conference on Artificial Intelligence. 2021, 35(11): 9978-9987. 摘要导读 近年来,利用图神经网络GNN捕获结构信息并结合自编码器AE进行深度聚类的方式已经展现出强劲的趋势。但是现有做法仍然有一定的局限性:1)缺...
然而,我们观察到,现有文献有很多需要提升的地方,如:1)缺乏一种动态融合机制来有选择地整合和改善图的结构和节点属性信息以进行共识表示学习; 2)未能利用双方提取的信息进行鲁棒目标分布生成(可以理解为DEC中的soft labels分配)。为了解决上述问题,论文提出了deep fusion clustering network (DFCN)。具体地说,该网络中...
The authors focus on modelling the similarity relationship among entities and propose a method called deep feature fusion tag (DFFT) based on the deep feature fusion of stacked denoising autoencoders. This method can extract high-order information with different embedding dimensions and fuse them in...
Considering their successful applications in speech recognition and image classification, the main goal of this research is to investigate the performance of the sparse autoencoders utilized in regression analysis. To this end, deep sparse autoencoders with the standard method of training, cascaded, ...
Fusion localization system framework: To enhance the localization performance, we propose a fusion localization system in the particle filter framework. We have developed extensive experiments with different pedestrians, scenes, and heterogeneous devices. Experiments validate that comparable localization performan...
Once the vehicles are detected, the classification process takes place using the convolutional autoencoder (CAE) model. Finally, a Quantum-Based Dwarf Mongoose Optimization (QDMO) algorithm is applied to ensure an optimal hyperparameter tuning process, demonstrating the novelty of the work. The ...
Image Clustering via the Principle of Rate Reduction in the Age of Pretrained ModelsCCPICLR 2024Pytorch P2OT: Progressive Partial Optimal Transport for Deep Imbalanced ClusteringP2OTICLR 2024Pytorch Deep Generative Clustering with Multimodal Diffusion Variational AutoencodersCMVAEICLR 2024To be released ...
machine-learningdeep-learningclusteringpytorchself-trainingautoencoderstcrepresentation-learningshort-textsentence-embeddingsdeep-clustering UpdatedMay 27, 2024 Python WxTu/DFCN Star74 Code Issues Pull requests AAAI 2021-Deep Fusion Clustering Network
In recent years, with the development of deep learning, replacing traditional clustering methods with subspaces extracted by deep neural networks will help better clustering performance. However, due to the instability of unsupervised learning, the features extracted each time are different even if the ...
2.2 Fusion-based Autoencoders 2.2.1 Input of the Decoder 首先整合GAE和AE学到的特征以获得共通的潜在表示。然后将这种嵌入作为输入,AE和GAE的解码器对两个子网络的输入进行重构。 2.2.2 Improved Graph Autoencoder 使用IGAE 同时重构属性信息和结构信息,IGAE 编码器和解码器如下: ...