Multi-modal data analytics publications

We describe a real-time wide area surveillance system (WA-ACTV) for the automatic tracking of vessels using a network of PTZ cameras.

We trade some generality in estimating and aligning camera motion for reduced computational complexity and increased image-based nature.

Improving methodology even modestly would advance our knowledge about the influence of food intake on health.

In this paper, we define adaptive instruction, or Ad-In, as applied to sophisticated skills development systems that target learning and assessment in a highly individualized and interactive manner.

We present a simple attribute graph grammar as a generative representation for made-made scenes and studies an effective top-down/bottom-up inference algorithm for parsing images in the process of maximizing a…

We explore the suitability of different feature detectors for the task of image registration, and in particular for visual odometry, using two criteria: stability and accuracy.

We use typed dependency graphs generated by the Stanford parser (Klein and Manning, 2003; de Marneffe et al., 2006), which contain a node for each word and labeled edges representing…

We are exploring new approaches to facilitating effective collaboration that remove or reduce common barriers and that exploit opportunities to encourage more effective collaboration, including transcending the cognitive biases of…

We are developing PHERL, an interchange language for link analysis tools, which is designed to support the sharing of patterns and hypotheses (e.g., pattern-match results).

We introduce the Switching Hidden Semi-Markov Model (S-HSMM), a two-layered extension of the hidden semi-Markov model (HSMM) for the modeling task.

We present some lightweight tools that have been essential in producing applications with complex interactive interfaces.