We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
In a previous paper, we laid out the vision of declarative datadriven coordination (D3C) where users are provided with novel abstractions that enable them to communicate and coord...
Nitin Gupta 0003, Lucja Kot, Gabriel Bender, Sudip...
Image features are widely used in computer vision applications. They need to be robust to scene changes and image transformations. Designing and comparing feature descriptors requ...
Once some stable solutions appear to be found at physical and network layers for cooperative Intelligent Transportation Systems (ITS), deploying vehicular services and managing the...
Many data sets exist that contain both geospatial and temporal elements. Within such data sets, it can be difficult to determine how the data have changed over spatial and tempor...
Orland Hoeber, Garnett Carl Wilson, Simon Harding,...