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» Extracting general-purpose features from LIDAR data
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ICPR
2000
IEEE
16 years 29 days ago
Motion Field Histograms for Robust Modeling of Facial Expressions
This paper presents motion field histograms as a new way of extracting facial features and modeling expressions. Feature are based on local receptive field histograms, which are r...
Tanzeem Choudhury, Alex Pentland
DBSEC
2010
319views Database» more  DBSEC 2010»
15 years 1 months ago
Detecting Spam Bots in Online Social Networking Sites: A Machine Learning Approach
As online social networking sites become more and more popular, they have also attracted the attentions of the spammers. In this paper, Twitter, a popular micro-blogging service, i...
Alex Hai Wang
EDBT
2008
ACM
125views Database» more  EDBT 2008»
16 years 1 days ago
On the brink: searching for drops in sensor data
Sensor networks have been widely used to collect data about the environment. When analyzing data from these systems, people tend to ask exploratory questions--they want to find su...
Gong Chen, Junghoo Cho, Mark H. Hansen
CIKM
2009
Springer
15 years 6 months ago
Semi-supervised learning of semantic classes for query understanding: from the web and for the web
Understanding intents from search queries can improve a user’s search experience and boost a site’s advertising profits. Query tagging via statistical sequential labeling mode...
Ye-Yi Wang, Raphael Hoffmann, Xiao Li, Jakub Szyma...
VIS
2004
IEEE
148views Visualization» more  VIS 2004»
16 years 1 months ago
Detection and Visualization of Anomalous Structures in Molecular Dynamics Simulation Data
In this article we explore techniques to detect and visualize features in data from molecular dynamics (MD) simulations. Although the techniques proposed are general, we focus on ...
John Wilkins, Kaden Hazzard, Raghu Machiraju, Same...