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

进入欧洲专利数据库的途径 一、通过欧洲专利局进入 (http: //ep. espacenet. com 二、通过欧洲委员会进入 (http: ec. espacenet. com) 三、通过中国知识产权局网站进入 ( http: //www. sipo. gov. cn ) 四、通过欧洲各成员国网站进入(支持不同语言)

1 Introduction Problem Definition Existing Methods 2 Isotropic Hashing Model Learning Experiment 3 Multiple-Bit Quantization Double-Bit Quantization Manhattan Quantization 4 Conclusion 5 Reference

1 Introduction Problem Definition Existing Methods Motivation and Contribution 2 Isotropic Hashing Model Learning Experimental Results 3 Multiple-Bit Quantization Double-Bit Quantization Manhattan Quantization 4 Conclusion 5 Reference

1 Introduction 2 AsySVRG 3 SCOPE 4 Conclusion

《电子商务 E-business》阅读文献：大数据时代（维克托·迈尔·舍恩伯格）

《人工智能、机器学习与大数据》课程教学资源（参考文献）agiCoFi - Tag informed collaborative filtering

《人工智能、机器学习与大数据》课程教学资源（参考文献）Blocking-based Neighbor Sampling for Large-scale Graph Neural Network

《人工智能、机器学习与大数据》课程教学资源（参考文献）Context-Aware Masking for Robust Speaker Verification

《人工智能、机器学习与大数据》课程教学资源（参考文献）NEWOn the Convergence and Improvement of Stochastic Normalized Gradient Descent