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Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

, , , , , , and . International Conference on Learning Representations, (2018)

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Adaptive Feature Abstraction for Translating Video to Language., , , and . ICLR (Workshop), OpenReview.net, (2017)A Deep Non-linear Feature Mapping for Large-Margin kNN Classification., , , , and . ICDM, page 357-366. IEEE Computer Society, (2009)Exemplar-centered Supervised Shallow Parametric Data Embedding., , and . IJCAI, page 2479-2485. ijcai.org, (2017)Accelerating Deep Neural Network Training with Inconsistent Stochastic Gradient Descent., , , and . CoRR, (2016)S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation., , , and . CVPR, page 6537-6546. IEEE, (2020)On Novel Object Recognition: A Unified Framework for Discriminability and Adaptability., , , , and . CIKM, page 2265-2268. ACM, (2019)Deep Semantic Embedding., , and . SMIR@SIGIR, volume 1204 of CEUR Workshop Proceedings, page 46-52. CEUR-WS.org, (2014)Modifying kernels using label information improves SVM classification performance., , and . ICMLA, page 13-18. IEEE Computer Society, (2007)Learning K-way D-dimensional Discrete Embedding for Hierarchical Data Visualization and Retrieval., , , and . IJCAI, page 2966-2972. ijcai.org, (2019)Factorized sparse learning models with interpretable high order feature interactions., , , and . KDD, page 552-561. ACM, (2014)