Efficient and accurate systems for querying unstructured dataAbstract: (shortened) In recent years, automatic analysis over this unstructured data has become possible via machine learning (ML). Analysts can use ML to extract structured information from these unstructured sources, such as object types and location from a video. The structured information can subsequently be used in downstream analysis, e.g., the urban planner can count the number of cars that passed by an intersection. Unfortunately, using ML for these analyses is challenging. Deploying MLstacks.stanford.edu via typesanitizer
