Brain tumor segmentation from Magnetic Resonance Images (MRIs) is an important task to measure tumor responses to treatments. However, automatic segmentation is very challenging. This paper presents an automatic brain tumor segmentation method based on a Normalized Gaussian Bayesian classification and a new 3D Fluid Vector Flow (FVF) algorithm. In our method, a Normalized Gaussian Mixture Model...

The National Research Council has proposed two distinct approaches over the past 20 years for guiding decision making about risk. These two approaches are widely applicable to environmental decisionmaking and are exemplified by two attempts to establish Marine Protected Areas (MPAs) in California with the implementation of the 1999 Marine Life Protection Act. The first attempt, which parallels ...

In automatic speech recognition, we are faced with a wellknown inconsistency: Bayes decision rule is usually used to minimize sentence (word sequence) error, whereas in practice we want to minimize word error, which also is the usual evaluation measure. Recently, a number of speech recognition approaches to approximate Bayes decision rule with word error (Levenshtein/edit distance) cost were pr...

In this paper Strategic Information Systems Planning (SISP) maturity models are empirically validated in Australian environment. A research instrument used to determine the degree of SISP maturity in Australian organisations is described. While empirical testing of a five-stage SISP model has only confirmed the existence of three levels of SISP maturity, statistical methods confirmed the adequa...