《人工智能、机器学习与大数据》课程教学资源（参考文献）Relation regularized matrix factorization

《人工智能、机器学习与大数据》课程教学资源（参考文献）Localized content-based image retrieval through evidence region identification

《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）Latent Wishart processes for relational kernel learning（讲稿）

《人工智能、机器学习与大数据》课程教学资源（参考文献）Latent Wishart processes for relational kernel learning

《人工智能、机器学习与大数据》课程教学资源（参考文献）Coherence functions for multicategory margin-based classification methods

1 Introduction 2 AsySVRG 3 SCOPE 4 Conclusion

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

1 Introduction 2 Learning to Hash Isotropic Hashing Scalable Graph Hashing with Feature Transformation Supervised Hashing with Latent Factor Models Column Sampling based Discrete Supervised Hashing Deep Supervised Hashing with Pairwise Labels Supervised Multimodal Hashing with SCM Multiple-Bit Quantization 3 Distributed Learning Coupled Group Lasso for Web-Scale CTR Prediction Distributed Power-Law Graph Computing 4 Stochastic Learning Fast Asynchronous Parallel Stochastic Gradient Descent Distributed Stochastic ADMM for Matrix Factorization 5 Conclusion

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