Moving from low level eye movement data to meaningful content in dynamic environments
Abstract not provided.
Publications
Gaussian Mixture Models for Information Integration: Toward Gaze-Informed Information Foraging Models for Imagery Analysis
Abstract not provided.
Using Data-Driven Uncertainty Quantification to Support Decision Making
Abstract not provided.
Visualizing Clustering and Uncertainty Analysis with Multivariate Longitudinal Data
Abstract not provided.
Using Data-Driven Uncertainty Quantification to Support Decision Making
Abstract not provided.
Data-Driven Uncertainty Quantification for Remote Sensing
Abstract not provided.
Fast Unsupervised Detection of Railcars in Unconstrained Video
Abstract not provided.
Automatic Feature Detection for Dynamic Video Data
Abstract not provided.
Uncertainty in Data Analytics
Abstract not provided.
Fast Unsupervised Detection of Railcars in Unconstrained Video
Abstract not provided.
Multimodal data integration under uncertainty
Abstract not provided.
Preliminary Results on Uncertainty Quantification for Pattern Analytics
This report summarizes preliminary research into uncertainty quantification for pattern ana- lytics within the context of the Pattern Analytics to Support High-Performance Exploitation and Reasoning (PANTHER) project. The primary focus of PANTHER was to make large quantities of remote sensing data searchable by analysts. The work described in this re- port adds nuance to both the initial data preparation steps and the search process. Search queries are transformed from does the specified pattern exist in the data? to how certain is the system that the returned results match the query? We show example results for both data processing and search, and discuss a number of possible improvements for each.
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