《人工智能、机器学习与大数据》课程教学资源（参考文献）Buffered Asynchronous SGD for Byzantine Learning

《人工智能、机器学习与大数据》课程教学资源（参考文献）Robust Frequent Directions with Application in Online Learning

1 Introduction 2 Unsupervised Hashing 3 Supervised Hashing 4 Ranking-based Hashing 5 Multimodal Hashing 6 Deep Hashing 7 Quantization 8 Conclusion 9 Reference

华北电力大学：数据结构_第7章(图)

1 The Era of Big Data 2 Big Data Characteristics 3 A Big Data Processing Framework 4 Streaming Data and Streaming Features Outline 5 Concluding Remarks

1 Introduction Problem Definition Existing Methods 2 Scalable Graph Hashing with Feature Transformation Motivation Model and Learning Experiment 3 Conclusion 4 Reference

北方工业大学：城乡规划《大数据》课程教学大纲

北方工业大学：通信工程《人工智能与大数据导论》课程教学大纲

1 Introduction Problem Definition Existing Methods 2 Isotropic Hashing 3 Supervised Hashing with Latent Factor Model 4 Supervised Multimodal Hashing with SCM 5 Multiple-Bit Quantization Double-Bit Quantization Manhattan Quantization 6 Conclusion 7 Reference

腾讯企鹅智酷：注意力革命——新媒体用户行为变迁大数据报告