【Multi-instance multi-label learning】论文笔记

时间 2021-01-12

标签深度学习繁體版

原文原文链接

Multi-instance multi-label learning with application to scene classification. 传统的监督学习对象由实例（或特征向量）表示并与类标签关联。 χ \chi χ：实例空间（或特征空间）， γ \gamma γ：类标签的集合。从给定的数据集 { ( x 1 , y 1 ) , ( x 2 , y 2 ) , . . . ,

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1. 【论文笔记】Unsupervised Person Re-identification by Soft Multilabel Learning
2. CVPR2019行人重识别论文笔记1903.06325：Unsupervised Person Re-identification by Soft Multilabel Learning
3. 论文笔记：Deep Residual Learning
4. 论文笔记(1)：Deep Learning.
5. 【论文笔记】Representation Learning by Learning to Count
6. Machine Learning & Deep Learning 论文阅读笔记
7. 论文笔记：Personalized Deep Learning for Tag Recommendation
8. Word2vec Parameter Learning Explained 论文学习笔记
9. 论文笔记——NEURAL ARCHITECTURE SEARCH WITH REINFORCEMENT LEARNING
10. 论文笔记：Contrastive Learning for Image Captioning

>>更多相关文章<<