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AROBOTS
2002
91views more  AROBOTS 2002»
15 years 2 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
15 years 3 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
16 years 9 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...
135
Voted
WWW
2005
ACM
16 years 3 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
101
Voted
ATAL
2007
Springer
15 years 8 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...