Oxytocin for all senses

LP-TRAPs in all senses

This report describes additional experiments with LP-TRAPs – speech features derived from autoregressive model applied to approximate temporal evolution of speech spectra in critical band-sized frequency sub-bands. The importance of free parameters, such as order model, length of the approximated temporal pattern, compression factor, or number of resulting cepstral coefficients, is investigated...

On the Move with All Their Senses

Publicly Available Topic Signatures for all WordNet Nominal Senses

Topic signatures are context vectors built for word senses and concepts. They can be automatically acquired from the web for any concept hierarchy using the “monosemous relative” method. Topic signatures have been shown to be useful in Word Sense Disambiguation, for modeling similarity between word senses, classifying new terms in hierarchies and also building hierarchical clusters of word sens...

From senses to texts: An all-in-one graph-based approach for measuring semantic similarity

Using All Our Senses: the need for a Unified Theoretical Approach to Multi-sensory Information Visualization

There is an opportunity to consider the theory of visualization for each of our senses together. We should have a united theory of visualization that covers all senses and allows users to integrate modalities. We believe there are several important facets to the theory that need to be addressed at all stages of the multi-sensory visualization process. (1) Data enhancement for multi-sensory visu...