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DMSN
2008
ACM
14 years 11 months ago
Probabilistic processing of interval-valued sensor data
When dealing with sensors with different time resolutions, it is desirable to model a sensor reading as pertaining to a time interval rather than a unit of time. We introduce two ...
Sander Evers, Maarten M. Fokkinga, Peter M. G. Ape...
GLOBECOM
2010
IEEE
14 years 8 months ago
Analytical Modelling of IEEE 802.15.4 for Multi-Hop Networks with Heterogeneous Traffic and Hidden Terminals
IEEE 802.15.4 multi-hop wireless networks are an important communication infrastructure for many applications, including industrial control, home automation, and smart grids. Exist...
Piergiuseppe Di Marco, Pan Gun Park, Carlo Fischio...
NIPS
1998
14 years 11 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
ICICS
2005
Springer
15 years 3 months ago
Network Vulnerability Analysis Through Vulnerability Take-Grant Model (VTG)
Modeling and analysis of information system vulnerabilities helps us to predict possible attacks to networks using the network configuration and vulnerabilities information. As a f...
Hamid Reza Shahriari, Reza Sadoddin, Rasool Jalili...
CIVR
2007
Springer
231views Image Analysis» more  CIVR 2007»
15 years 4 months ago
Classification of video events using 4-dimensional time-compressed motion features
Among the various types of semantic concepts modeled, events pose the greatest challenge in terms of computational power needed to represent the event and accuracy that can be ach...
Alexander Haubold, Milind R. Naphade