Session C6: Anomalies and Outliers

15 Dec 2016
Room A4

Session C6: Anomalies and Outliers

Session Chair: Takashi Washio (Osaka University, Japan)


DM273 “Probabilistic-Mismatch Anomaly Detection: Do one’s Medications Match with the Diagnoses?”
Lingxiao Zhang, Xiang Li, Heifeng Liu, Jing Mei, Gang Hu, Junfeng Zhao, Bing Xie, and Guotong Xie

DM274 “Regularized Large Margin Distance Metric Learning”
Ya Li, Xinmei Tian, and Dacheng Tao

DM806 “Subspace Outlier Detection in Linear Time with Randomized Hashing”
Saket Sathe and Charu Aggarwal


DM537 “Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective”
Shebuti Rayana, Wen Zhong, and Leman Akoglu

DM925 “Outlier Detection from Network Data with Subnetwork Interpretation”
Xuan-Hong Dang, Arllei Silva, Ambuj K Singh, Prithwish Basu, and Ananthram Swami

DM1044 “Sparse Gaussian Markov Random Field Mixtures for Anomaly Detection”
Tsuyoshi Ide, Ankush Khandelwal, and Jayant Kalagnanam

DM1058 “Low-Rank Sparse Feature Selection for Patient Similarity Learning”
Mengting Zhan, Shilei Cao, Shiyu Chang, Jishang Wei, and Buyue Qian

DM254 “Structure-Preserved Multi-Source Domain Adaptation”
Hongfu Liu, Ming Shao, and Yun Fu

DM938 “Gaussian Component based Index for GMMs”
Linfei Zhou, Bianca Wackersreuther, Frank Fiedler, Claudia Plant, and Christian Boehm

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