Past attempts to model emotions for speech synthesis have focused on extreme, “basic” emotion categories. The present paper suggests an alternative representation of emotional ...
Low-dimensional topic models have been proven very useful for modeling a large corpus of documents that share a relatively small number of topics. Dimensionality reduction tools s...
: This paper shows an application of two visualization algorithms of multivariate data, U-matrix and Component Planes, in a matter of exploratory analysis of geospatial data. These...
We explore a periodic analysis in the context of unobserved components time series models that decompose time series into components of interest such as trend, seasonal and irregu...
We have investigated a fault injection-based technique for undermining the ability of software components to produce undesirable outputs into the state of the system. Undesirable ...