Standard inductive learning requires that training and test instances come from the same distribution. Transfer learning seeks to remove this restriction. In shallow transfer, tes...
Most clustering algorithms in fMRI analysis implicitly require some nontrivial assumption on data structure. Due to arbitrary distribution of fMRI time series in the temporal doma...
In this paper, we propose the use of records management principles to identify and manage Web site resources with enduring value as records. Current Web archiving activities, coll...
People are an important part of many business processes. Current workflow-based implementations of business processes constrain users to the desktop environment; require them to p...
An algorithm has been developed to automatically construct individual models of normal activity within a home using motion sensor data. Alerts can be generated when a period of in...
Paul Cuddihy, Jenny Weisenberg, Catherine Graichen...