Fingerprinting-based indoor localization is a cost-effective approach to provide coarse-grained location information for pedestrian mass-market applications without the requirement of installing additional positioning infrastructure. While most solutions aim at pinpointing exact user, estimating zone/area promising achieve more reliable prediction. Area predominantly utilizes predetermined buil...

Creating a large-scale dataset of abnormality annotation on medical images is labor-intensive and costly task. Leveraging weak supervision from readily available data such as radiology reports can compensate lack for anomaly detection methods. However, most the current methods only use image-level pathological observations, failing to utilize relevant anatomy mentions in reports. Furthermore, N...