Time-continuous dimensional descriptions of emotions (eg, arousal, valence) allow
researchers to characterize short-time changes and to capture long-term trends in emotion …

DTW calculates the similarity or alignment between two signals, subject to temporal warping.
However, its computational complexity grows exponentially with the number of time-series …

For many real-world applications, structured regression is commonly used for predicting
output variables that have some internal structure. Gaussian conditional random fields …

The Gaussian Conditional Random Fields (GCRF) algorithm and its extensions are used for
machine learning regression problems in which the attributes of objects and the correlation …

Structural algorithms incorporate the interdependence of outputs into the prediction, the loss,
or both. Frank-Wolfe optimizations of pairwise losses and Gaussian conditional random …

Predmet istraživanja ovog rada su modeli strukturne regresije, koji su dizajnirani da koriste
veze između objekata prilikom predviđanja izlaznih vrijednosti. Drugim riječima, modeli …