Anomaly Detection |
| Session Type: Lecture |
| Time: Monday, June 3, 14:30 - 15:50 |
| Location: Lecture Room 1 |
| Session Chair: Visa Koivunen, Aalto University |
| Paper #1: LEARNING TO DETECT AN ANOMALOUS TARGET WITH OBSERVATIONS FROM AN EXPONENTIAL FAMILY |
| Gayathri Prabhu; Indian Institute of Technology Madras |
| Srikrishna Bhashyam; Indian Institute of Technology Madras |
| Aditya Gopalan; Indian Institute of Science Bangalore |
| Rajesh Sundaresan; Indian Institute of Science Bangalore |
| Paper #2: SIMULTANEOUS MULTIVARIATE OUTLIER AND TREND DETECTION |
| Karl Pazdernik; Pacific Northwest National Laboratory |
| Bryan Stanfill; Pacific Northwest National Laboratory |
| Kellie MacPhee; University of Washington |
| Lisa Bramer; Pacific Northwest National Laboratory |
| Paper #3: DEEP ONE-CLASS CLASSIFICATION USING INTRA-CLASS SPLITTING |
| Patrick Schlachter; University of Stuttgart |
| Yiwen Liao; University of Stuttgart |
| Bin Yang; University of Stuttgart |
| Paper #4: BAYESIAN MULTIPLE HYPOTHESIS TESTING FOR DISTRIBUTED DETECTION IN SENSOR NETWORKS |
| Topi Halme; Aalto University |
| Martin Gölz; Aalto University |
| Visa Koivunen; Aalto University |