@conference {17144,
	title = {EventGraphs: Charting Collections of Conference Connections},
	booktitle = {2011 44th Hawaii International Conference on System Sciences (HICSS)},
	year = {2011},
	month = {2011/01/04/7},
	pages = {1 - 10},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {EventGraphs are social media network diagrams of conversations related to events, such as conferences. Many conferences now communicate a common "hashtag" or keyword to identify messages related to the event. EventGraphs help make sense of the collections of connections that form when people follow, reply or mention one another and a keyword. This paper defines EventGraphs, characterizes different types, and shows how the social media network analysis add-in NodeXL supports their creation and analysis. The structural patterns to look for in EventGraphs are highlighted and design ideas for their improvement are discussed.},
	keywords = {conference connections, Conferences, Data visualization, EventGraphs, hashtag, measurement, Media, message identification, multimedia computing, NodeXL, Real time systems, social media network diagrams, social networking (online), Twitter},
	isbn = {978-1-4244-9618-1},
	doi = {10.1109/HICSS.2011.196},
	author = {Hansen,D. and Smith,M. A and Shneiderman, Ben}
}
@conference {12438,
	title = {The evolution of stochastic grammars for representation and recognition of activities in videos},
	booktitle = {2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)},
	year = {2011},
	month = {2011/11/06/13},
	pages = {688 - 688},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {The speaker is one of the privileged many to have been taught syntactic pattern recognition methods by the Late Prof. K.S. Fu. In this talk, I will discuss the evolution of stochastic image grammars from the early seventies to now with a focus on image and video understanding applications.},
	keywords = {activity recognition, activity representation, Conferences, Educational institutions, Grammar, Image analysis, image recognition, image representation, image understanding, pattern recognition, stochastic image grammars, syntactic pattern recognition methods, video signal processing, video understanding, Videos},
	isbn = {978-1-4673-0062-9},
	doi = {10.1109/ICCVW.2011.6130309},
	author = {Chellapa, Rama}
}
@conference {12445,
	title = {Variable remapping of images from very different sources},
	booktitle = {2011 18th IEEE International Conference on Image Processing (ICIP)},
	year = {2011},
	month = {2011/09/11/14},
	pages = {1501 - 1504},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {We present a system which registers image sequences acquired by very different sources, so that multiple views could be transformed to the same coordinates system. This enables the functionality of automatic object identification and confirmation across views and platforms. The capability of the system comes from three ingredients: 1) image context enlargement through temporal integration; 2) robust motion estimation using the G-RANSAC framework with a relaxed correspondence criteria; 3) constrained motion estimation within the G-RANSAC framework. The proposed system has worked successfully on thousands of frames from multiple collections with significant variations in scale and resolution.},
	keywords = {automatic object identification, Buildings, CAMERAS, Conferences, constrained motion estimation, coordinates system, Estimation, G-RANSAC framework, image context enlargement, Image Enhancement, image registration, image sequence registration, Image sequences, Motion estimation, Robustness, temporal integration, variable image remapping},
	isbn = {978-1-4577-1304-0},
	doi = {10.1109/ICIP.2011.6115729},
	author = {Wei Zhang and Yanlin Guo and Meth, R. and Sokoloff, H. and Pope, A. and Strat, T. and Chellapa, Rama}
}
@conference {17653,
	title = {Rigorous Probabilistic Trust-Inference with Applications to Clustering},
	booktitle = {IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technologies, 2009. WI-IAT {\textquoteright}09},
	volume = {1},
	year = {2009},
	month = {2009/09/15/18},
	pages = {655 - 658},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {The World Wide Web has transformed into an environment where users both produce and consume information. In order to judge the validity of information, it is important to know how trustworthy its creator is. Since no individual can have direct knowledge of more than a small fraction of information authors, methods for inferring trust are needed. We propose a new trust inference scheme based on the idea that a trust network can be viewed as a random graph, and a chain of trust as a path in that graph. In addition to having an intuitive interpretation, our algorithm has several advantages, noteworthy among which is the creation of an inferred trust-metric space where the shorter the distance between two people, the higher their trust. Metric spaces have rigorous algorithms for clustering, visualization, and related problems, any of which is directly applicable to our results.},
	keywords = {Clustering algorithms, Conferences, Educational institutions, Extraterrestrial measurements, Inference algorithms, Intelligent agent, random graphs, Social network services, trust inferrence, Visualization, Voting, Web sites},
	isbn = {978-0-7695-3801-3},
	doi = {10.1109/WI-IAT.2009.109},
	author = {DuBois,Thomas and Golbeck,Jennifer and Srinivasan, Aravind}
}
@conference {13402,
	title = {Representing Tuple and Attribute Uncertainty in Probabilistic Databases},
	booktitle = {Seventh IEEE International Conference on Data Mining Workshops, 2007. ICDM Workshops 2007},
	year = {2007},
	month = {2007/10/28/31},
	pages = {507 - 512},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {There has been a recent surge in work in probabilistic databases, propelled in large part by the huge increase in noisy data sources-sensor data, experimental data, data from uncurated sources, and many others. There is a growing need to be able to flexibly represent the uncertainties in the data, and to efficiently query the data. Building on existing probabilistic database work, we present a unifying framework which allows a flexible representation of correlated tuple and attribute level uncertainties. An important capability of our representation is the ability to represent shared correlation structures in the data. We provide motivating examples to illustrate when such shared correlation structures are likely to exist. Representing shared correlations structures allows the use of sophisticated inference techniques based on lifted probabilistic inference that, in turn, allows us to achieve significant speedups while computing probabilities for results of user-submitted queries.},
	keywords = {attribute uncertainty, Computer science, Conferences, correlation structures, data mining, Data models, database management systems, Educational institutions, inference mechanisms, noisy data sources, probabilistic database, probabilistic inference, Probability distribution, Query processing, Relational databases, Sensor phenomena and characterization, tuple representation, Uncertainty, uncertainty handling},
	isbn = {978-0-7695-3019-2},
	doi = {10.1109/ICDMW.2007.11},
	author = {Sen,P. and Deshpande, Amol and Getoor, Lise}
}
@article {17209,
	title = {Human-centered computing, online communities, and virtual environments},
	journal = {IEEE Computer Graphics and Applications},
	volume = {19},
	year = {1999},
	month = {1999/12//Nov},
	pages = {70 - 74},
	abstract = {This report summarizes results of the first EC/NSF joint Advanced Research Workshop, which identified key research challenges and opportunities in information technology. The group agreed that the first joint research workshop should concentrate on the themes of human-centered computing and VEs. Human-centered computing is perceived as an area of strategic importance because of the move towards greater decentralization and decomposition in the location and provision of computation. The area of VEs is one where increased collaboration should speed progress in solving some of the more intractable problems in building effective applications},
	keywords = {Books, Collaboration, Collaborative work, Conferences, EC/NSF joint Advanced Research Workshop, Feeds, Human computer interaction, human-centered computing, Internet, Joining materials, Laboratories, Online communities, Research initiatives, USA Councils, User interfaces, Virtual environment, virtual environments, Virtual reality},
	isbn = {0272-1716},
	doi = {10.1109/38.799742},
	author = {Brown,J. R and van Dam,A. and Earnshaw,R. and Encarnacao,J. and Guedj,R. and Preece,J. and Shneiderman, Ben and Vince,J.}
}
