TY - GEN
T1 - On-line behavior recognition for situation and threat assessment
AU - Brooks, Richard R.
AU - Schwier, Jason M.
AU - Griffin, Christopher
PY - 2007
Y1 - 2007
N2 - The ε-Machine is a hidden Markov model generalization that does not require a priori knowledge of the state structure of a system or the transition probabilities between the states. In this work, we discuss how ε-Machines are used to locate and analyze behavioral patterns in symbolized input data streams. We explain how the ε-Machine can be used to recognize when certain patterns occur.
AB - The ε-Machine is a hidden Markov model generalization that does not require a priori knowledge of the state structure of a system or the transition probabilities between the states. In this work, we discuss how ε-Machines are used to locate and analyze behavioral patterns in symbolized input data streams. We explain how the ε-Machine can be used to recognize when certain patterns occur.
UR - http://www.scopus.com/inward/record.url?scp=35648970036&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=35648970036&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:35648970036
SN - 1563478935
SN - 9781563478932
T3 - Collection of Technical Papers - 2007 AIAA InfoTech at Aerospace Conference
SP - 1520
EP - 1523
BT - Collection of Technical Papers - 2007 AIAA InfoTech at Aerospace Conference
T2 - 2007 AIAA InfoTech at Aerospace Conference
Y2 - 7 May 2007 through 10 May 2007
ER -