In field environments it is not usually possible to provide robots in advance with valid geometric models of its environment and task element locations. The robot or robot teams ne...
We propose a class of graphical models appropriate for structure prediction problems where the model structure is a function of the output structure. Incremental Sigmoid Belief Ne...
Our research aims at building computational models of word meaning that are perceptually grounded. Using computer vision techniques, we build visual and multimodal distributional ...
Elia Bruni, Gemma Boleda, Marco Baroni, Nam-Khanh ...
Quantitative modeling plays a key role in the natural sciences, and systems that address the task of inductive process modeling can assist researchers in explaining their data. In...
This study presents a probabilistic model of melody perception, which infers the key of a melody and also judges the probability of the melody itself. (A "melody" is def...