Miccai论文分享（一）Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classific
多示例学习(multi-instance learning) 本科毕业答辩结束！这个系列主要分享一些Miccai这一医学影像分析顶级会议上论文～ 为什么讲这个？ 看到了miccai2017年的一篇挺有意思的论文，所以查阅了相关研究资料，分享给大家。 什么是多示例学习？ 这方面国内的大牛周志华是领域翘楚，大家有兴趣可以看看他之前的相关工作。下面的部分摘自他的一个survey性质的文章。 周志华sur
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相关文章
- 1. 【读论文】Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification
- 2. Data-Driven Sparse Structure Selection for Deep Neural Networks 论文翻译
- 3. Global Sparse Momentum SGD for Pruning Very Deep Neural Networks 论文阅读笔记
- 4. 【论文阅读笔记】Data-Driven Sparse Structure Selection for Deep Neural Networks
- 5. 【论文笔记】A Light CNN for Deep Face Representation with Noisy Label
- 6. Learning a Deep ConvNet for Multi-label Classification with Partial Labels 论文笔记
- 7. Deep Communicating Agents for Abstractive Summarization论文分享
- 8. 论文ImageNet Classification with Deep Convolutional Neural Networks（Alexnet2012）
- 9. Deep Anomaly Detection with Deviation Networks 论文笔记
- 10. 论文分享 - Reasoning with Memory Augmented Neural Networks for Language Comprehension