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» Using Bayesian Networks for Cleansing Trauma Data
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Publication
363views
14 years 1 months ago
Detecting and Discriminating Behavioural Anomalies
This paper aims to address the problem of anomaly detection and discrimination in complex behaviours, where anomalies are subtle and difficult to detect owing to the complex tempor...
Chen Change Loy, Tao Xiang, Shaogang Gong
137
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BIB
2007
137views more  BIB 2007»
15 years 2 months ago
Current progress in network research: toward reference networks for key model organisms
The collection of multiple genome-scale datasets is now routine, and the frontier of research in systems biology has shifted accordingly. Rather than clustering a single dataset t...
Balaji S. Srinivasan, Nigam H. Shah, Jason Flannic...
126
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CISS
2007
IEEE
15 years 9 months ago
Collector Receiver Design for Data Collection and Localization in Sensor-driven Networks
— We consider a sensor network in which the sensors communicate at will when they have something to report, without prior coordination with other sensors or with data collection ...
Bharath Ananthasubramaniam, Upamanyu Madhow
156
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ASIAN
2007
Springer
174views Algorithms» more  ASIAN 2007»
15 years 8 months ago
Combining Heterogeneous Classifiers for Network Intrusion Detection
Extensive use of computer networks and online electronic data and high demand for security has called for reliable intrusion detection systems. A repertoire of different classifier...
Ali Borji
157
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ICDAR
2011
IEEE
14 years 2 months ago
Subgraph Spotting through Explicit Graph Embedding: An Application to Content Spotting in Graphic Document Images
—We present a method for spotting a subgraph in a graph repository. Subgraph spotting is a very interesting research problem for various application domains where the use of a re...
Muhammad Muzzamil Luqman, Jean-Yves Ramel, Josep L...