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ICCV
2011
IEEE
13 years 11 months ago
Probabilistic Group-Level Motion Analysis and Scenario Recognition
This paper addresses the challenge of recognizing behavior of groups of individuals in unconstraint surveillance environments. As opposed to approaches that rely on agglomerative ...
Ming-Ching Chang, Nils Krahnstoever, Weina Ge
81
Voted
CIKM
2011
Springer
13 years 11 months ago
Conkar: constraint keyword-based association discovery
In many domains, such as bioinformatics, cheminformatics, health informatics and social networks, data can be represented naturally as labeled graphs. To address the increasing ne...
Mo Zhou, Yifan Pan, Yuqing Wu
CN
2007
95views more  CN 2007»
14 years 11 months ago
Sampling large Internet topologies for simulation purposes
In this paper, we develop methods to ‘‘sample’’ a small realistic graph from a large Internet topology. Despite recent activity, modeling and generation of realistic graph...
Vaishnavi Krishnamurthy, Michalis Faloutsos, Marek...
OOPSLA
2005
Springer
15 years 5 months ago
Lifting sequential graph algorithms for distributed-memory parallel computation
This paper describes the process used to extend the Boost Graph Library (BGL) for parallel operation with distributed memory. The BGL consists of a rich set of generic graph algor...
Douglas Gregor, Andrew Lumsdaine
HYBRID
2010
Springer
15 years 4 months ago
Distributed Kalman Filter algorithms for self-localization of mobile devices
This paper addresses the problem of self localization of mobile devices. In particular, each device combines noisy measurements of its absolute position with distance measurements...
Anne-Kathrin Hess, Anders Rantzer