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» Activity Modeling Using Event Probability Sequences
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JAISE
2011
238views more  JAISE 2011»
13 years 2 months ago
A bio-inspired system model for interactive surveillance applications
Advances in computer vision and pattern recognition research are leading to video surveillance systems with improved scene analysis capabilities. However, up to now few works have ...
Alessio Dore, Matteo Pinasco, Lorenzo Ciardelli, C...
ICIP
2003
IEEE
14 years 9 months ago
Adaptive rule-based recognition of events in video sequences
Knowledge-based fuzzy inference and neural learning are used in this paper in order to model the event recognition task in semantic video analysis. The advantage of their use is t...
Vassilis Tzouvaras, Gabriel Tsechpenakis, Giorgos ...
HPCC
2007
Springer
14 years 1 months ago
Quantification of Cut Sequence Set for Fault Tree Analysis
A new evaluation method is presented that employs cut sequence set (CSS) to analyze fault trees. A cut sequence is a set of basic events that fail in a specific order that can indu...
Dong Liu, Chunyuan Zhang, Weiyan Xing, Rui Li, Hai...
BMCBI
2004
126views more  BMCBI 2004»
13 years 7 months ago
A probabilistic model for the evolution of RNA structure
Background: For the purposes of finding and aligning noncoding RNA gene- and cis-regulatory elements in multiple-genome datasets, it is useful to be able to derive multi-sequence ...
Ian Holmes
COMAD
2009
13 years 8 months ago
When to Trigger Active Rules?
Active rules model and enforce enterprise requirements such as situation monitoring using events, conditions and actions. These rules are termed active rules as they make the unde...
Raman Adaikkalavan, Sharma Chakravarthy