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ICIP
2001
IEEE
16 years 8 months ago
EM algorithms of Gaussian mixture model and hidden Markov model
The HMM (Hidden Markov Model) is a probabilistic model of the joint probability of a collection of random variables with both observations and states. The GMM (Gaussian Mixture Mo...
Guorong Xuan, Wei Zhang, Peiqi Chai
ICPR
2004
IEEE
16 years 7 months ago
Parameterisation Invariant Statistical Shape Models
In this paper novel theory to automate shape modelling is described. The main idea is to develop a theory that is intrinsically defined for curves, as opposed to a finite sample o...
Johan Karlsson, Anders Ericsson, Kalle Åstr&...
ICSE
2003
IEEE-ACM
16 years 6 months ago
Modular Verification of Software Components in C
We present a new methodology for automatic verification of C programs against finite state machine specifications. Our approach is compositional, naturally enabling us to decompos...
Sagar Chaki, Edmund M. Clarke, Alex Groce, Somesh ...
DCC
2004
IEEE
16 years 6 months ago
Periodicity and Correlation Properties of d-FCSR Sequences
A d-feedback-with-carry shift register (d-FCSR) is a finite state machine, similar to a linear feedback shift register, in which a small amount of memory and a delay (by d-clock c...
Mark Goresky, Andrew Klapper
RULEML
2009
Springer
16 years 26 days ago
Correlating Business Events for Event-Triggered Rules
Abstract. Event processing rules may be prescribed in many different ways, including by finite state machines, graphical methods, ECA (event-conditionaction) rules or reactive rule...
Josef Schiefer, Hannes Obweger, Martin Suntinger