—Parallel performance monitoring extends parallel measurement systems with infrastructure and interfaces for online performance data access, communication, and analysis. At the s...
Aroon Nataraj, Allen D. Malony, Allen Morris, Dori...
User browsing information, particularly their non-search related activity, reveals important contextual information on the preferences and the intent of web users. In this paper, ...
This paper studies methods that automatically detect action-items in e-mail, an important category for assisting users in identifying new tasks, tracking ongoing ones, and searchi...
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
Carolina Galleguillos, Boris Babenko, Andrew Rabin...
In this paper we present a software framework which supports the construction of mixed-fidelity (from sketch-based to software) prototypes for mobile devices. The framework is ava...