Label space dimension reduction (LSDR) is then developed to alleviate the effect of the high dimensionality of labels. However, almost all the existing LSDR methods focus on single-view learning. In this paper, we develop a multi-view label embedding (MVLE) model by exploiting the multi-...
•This paper presents a novel multi-view label embedding algorithm via latent space learning.•The diversity and complementarity are well balanced by HSIC in multi-view learning.•Experiments show that MVLE outperforms the state-of-the-art label embedding methods.论文...
显而易见,“不完整的多视图弱标签学习”(Incomplete Multi-View Weak-Label Learning)是“不完整的多视图学习”与“弱标签学习”的交叉子方向。它可以看作是“多视图多标签学习”(Multi-View Multi-Label Learning)遇上了同时属于不完整的多视图和弱标签的数据的一种特殊场景。 就目前来说,这个方向下的研究仍然很...
Multi-view multi-label (MVML) learning is a framework for solving the problem of associating a single instance with a set of class labels in the presence o
原文:[1710.07210] Multi-Task Label Embedding for Text Classification相关工作参考:fannn1217/Results-of-Deep-Learning-in-NLP-CV Introduction 将文本分类中的标签转换为语义向量,从而将原始任务转换为向量匹配任务。实现了多任务标签嵌入的无监督,监督和半监督模型,所有这些模型都利用了任务之间的语义相关性。 当前...
In this paper, we propose a Label Embedding method via Dependence Maximization (LEDM), which obtains the latent space on which the label and feature information can be embedded simultaneously. To end this, the low-rank factorization model on the label matrix is applied to exploit label ...
Multi-view label embedding Pattern Recognition (2018) BanerjeeS. et al. Hierarchical transfer learning for multi-label text classification CavnarW.B. et al. N-gram-based text categorizationView more references Cited by (43) Deep learning-based automated identification on vortex-induced vibration ...
介于深度学习技术抽取出的特征通常是相对较短、稠密的向量(也称为嵌入式表示,embedding),可以和基于隐向量的矩阵分解方法无缝结合,因此这类工作大都采用矩阵分解模型进行协同过滤。例如,文献[33]在音乐推荐任务中... 【论文阅读笔记】Learning Spatiotemporal Features with 3D Convolutional Networks...
View the number of classes. Get classNames = unique(cat(1,labelsAll{:})); numClasses = numel(classNames) numClasses = 32 Visualize the number of per-document labels using a histogram. Get labelCounts = cellfun(@numel,labelsAll);
2023Neighbor-aware deep multi-view clustering via graph convolutional networkNMvC-GCNIF 2023Joint contrastive triple-learning for deep multi-view clusteringJCTIPM 2023Auto-attention mechanism for multi-view deep embedding clusteringMDECPR- 2023Deep multi-view spectral clustering via ensembleDMCEPR- ...