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» On Structural Analysis of Large Networks
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PERCOM
2010
ACM
15 years 4 months ago
All for one or one for all? Combining heterogeneous features for activity spotting
Abstract—Choosing the right feature for motion based activity spotting is not a trivial task. Often, features derived by intuition or that proved to work well in previous work ar...
Ulf Blanke, Bernt Schiele, Matthias Kreil, Paul Lu...
RAID
2010
Springer
15 years 4 months ago
On Challenges in Evaluating Malware Clustering
Malware clustering and classification are important tools that enable analysts to prioritize their malware analysis efforts. The recent emergence of fully automated methods for ma...
Peng Li, Limin Liu, Debin Gao, Michael K. Reiter
ICDCS
2011
IEEE
14 years 6 months ago
Smart Redundancy for Distributed Computation
Many distributed software systems allow participation by large numbers of untrusted, potentially faulty components on an open network. As faults are inevitable in this setting, th...
Yuriy Brun, George Edwards, Jae Young Bang, Nenad ...
COMCOM
2004
138views more  COMCOM 2004»
15 years 6 months ago
Issues with inferring Internet topological attributes
A number of recent studies of Internet network structure are based on data collected from inter-domain BGP routing tables and tools, such as traceroute, to probe end-to-end paths....
Lisa Amini, Anees Shaikh, Henning Schulzrinne
JMLR
2006
190views more  JMLR 2006»
15 years 6 months ago
Causal Graph Based Decomposition of Factored MDPs
We present Variable Influence Structure Analysis, or VISA, an algorithm that performs hierarchical decomposition of factored Markov decision processes. VISA uses a dynamic Bayesia...
Anders Jonsson, Andrew G. Barto