Presentation for the 2014 International Internet Preservation Consortium (IIPC) General Assembly. This presentation discusses building a collection of web archiving research articles.

This paper describes a dialogue system framework for a companionable robot, which aims to guide patients towards health behavior changes via natural language analysis and generation.

Paper on mapping texts and combining text-mining and geo-visualization to unlock the research potential of historical newspapers.

Paper for the 2014 Association for Information Science and Technology (ASIS&T) Annual Meeting. This paper discusses building a collection of web archiving research articles.

Paper on co-training over domain-independent and domain-dependent features for sentiment analysis of an online cancer support community.

In this research, multi-perspective image registration using LiDAR and visual images was considered. 2D-3D image registration is a difficult task because it requires the extraction of different semantic features from each modality. This problem is solved in three parts. The first step involves detection and extraction of common features from each of the data sets. The second step consists of associating the common features between two different modalities. Traditional methods use lines or orthogonal corners as common features. The third step consists of building the projection matrix. Many existing methods use global positing system (GPS) or inertial navigation system (INS) for an initial estimate of the camera pose. However, the approach discussed herein does not use GPS, INS, or any such devices for initial estimate; hence the model can be used in places like the lunar surface or Mars where GPS or INS are not available. A variation of the method is also described, which does not require strong features from both images but rather uses intensity gradients in the image. This can be useful when one image does not have strong features (such as lines) or there are too many extraneous features.