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AROBOTS
2002
91views more  AROBOTS 2002»
13 years 10 months ago
Fast, On-Line Learning of Globally Consistent Maps
To navigate in unknown environments, mobile robots require the ability to build their own maps. A major problem for robot map building is that odometry-based dead reckoning cannot ...
Tom Duckett, Stephen Marsland, Jonathan Shapiro
HPDC
2010
IEEE
13 years 11 months ago
BTWorld: towards observing the global BitTorrent file-sharing network
Today, the BitTorrent Peer-to-Peer file-sharing network is one of the largest Internet applications--it generates massive traffic volumes, it is deployed in thousands of independe...
Maciej Wojciechowski, Mihai Capotâ, Johan A....
CVPR
2009
IEEE
15 years 5 months ago
Observe Locally, Infer Globally: a Space-Time MRF for Detecting Abnormal Activities with Incremental Updates
We propose a space-time Markov Random Field (MRF) model to detect abnormal activities in video. The nodes in the MRF graph correspond to a grid of local regions in the video fra...
Jaechul Kim (University of Texas at Austin), Krist...
WWW
2005
ACM
14 years 10 months ago
On the lack of typical behavior in the global Web traffic network
We offer the first large-scale analysis of Web traffic based on network flow data. Using data collected on the Internet2 network, we constructed a weighted bipartite clientserver ...
Mark Meiss, Filippo Menczer, Alessandro Vespignani
ATAL
2007
Springer
14 years 4 months ago
A globally optimal algorithm for TTD-MDPs
In this paper, we discuss the use of Targeted Trajectory Distribution Markov Decision Processes (TTD-MDPs)—a variant of MDPs in which the goal is to realize a specified distrib...
Sooraj Bhat, David L. Roberts, Mark J. Nelson, Cha...