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» Quantifying Probabilistic Information Flow in Computational ...
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FORTE
2004
13 years 8 months ago
PEPA Nets in Practice: Modelling a Decentralised Peer-to-Peer Emergency Medical Application
Abstract. We apply the PEPA nets modelling language to modelling a peer-topeer medical informatics application, the FieldCare PDA-based medical records system developed by SINTEF T...
Stephen Gilmore, Valentin Haenel, Jane Hillston, L...
SACMAT
2011
ACM
12 years 10 months ago
Modeling data flow in socio-information networks: a risk estimation approach
Information leakage via the networks formed by subjects (e.g., Facebook, Twitter) and objects (e.g., blogosphere) − some of whom may be controlled by malicious insiders − ofte...
Ting Wang, Mudhakar Srivatsa, Dakshi Agrawal, Ling...
RECOMB
2003
Springer
14 years 7 months ago
A multi-expert system for the automatic detection of protein domains from sequence information
We describe a novel method for detecting the domain structure of a protein from sequence information alone. The method is based on analyzing multiple sequence alignments that are ...
Niranjan Nagarajan, Golan Yona
ICIP
2003
IEEE
14 years 9 months ago
Compressed domain human motion recognition using motion history information
In this paper we present a system for classifying various human actions in compressed domain video framework. We introduce the notion of quantifying the motion involved, through w...
R. Venkatesh Babu, K. R. Ramakrishnan
APVIS
2011
12 years 7 months ago
Edge maps: Representing flow with bounded error
Robust analysis of vector fields has been established as an important tool for deriving insights from the complex systems these fields model. Many analysis techniques rely on co...
Harsh Bhatia, Shreeraj Jadhav, Peer-Timo Bremer, G...