Session C6: Anomalies and Outliers
Session Chair: Takashi Washio (Osaka University, Japan)
REGULAR PAPERS:
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
SHORT PAPERS:
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