Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
: This paper proposes a context-aware security service providing multiple authentications and authorization from a Security Level which is decided dynamically in a context-aware en...
Most extensibledatabasesystemssupportaddition of new indexes or new data types. However, the referencepatterns exhibited by these new indexes may not be efficiently supportedby ex...
This paper presents an approach to the approximate description of univariate real-valued functions in terms of precise or imprecise reference points and interpolation between thes...
Linear and kernel discriminant analyses are popular approaches for supervised dimensionality reduction. Uncorrelated and regularized discriminant analyses have been proposed to ove...