Mark Hansen

TL;DR: This work creates a convenient (no specific position and orientation setting) classification system that uses a mobile phone with a built-in GPS receiver and an accelerometer to identify the transportation mode of an individual when outside.

TL;DR: This article reviews the principle of minimum description length (MDL) for problems of model selection, and illustrates the MDL principle by considering problems in regression, nonparametric curve estimation, cluster analysis, and time series analysis.

TL;DR: The running PEIR system is evaluated, which includes mobile handset based GPS location data collection, and server-side processing stages such as HMM-based activity classification (to determine transportation mode); automatic location data segmentation into "trips"; lookup of traffic, weather, and other context data needed by the models; and environmental impact and exposure calculation using efficient implementations of established models.

TL;DR: In this article, a system and method for information searching comprising determination of, in fine granularity, a Community of Interest (COI), further data mining in search results, using at least one of COI and expert preferences to identify important knowledge, formulation and manipulation of results, and summarization of search results into a document like entity with dynamic attributes described.

TL;DR: In this article, a method for organizing records of a database by topical relevance generates statistics on relevance by monitoring search terms used and search paths traversed by a database user community, and a probability is calculated, based on a frequency of record review and search terms, as a measure of this record topical relevance.