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This paper investigates the use of a hierarchy of Neural Networks for performing data driven feature extraction. Two different hierarchical structures based on long and short temporal context are considered. Features are tested on two different LVCSR syste ...
The estimation and validation of pedestrian behavioral models requires large amounts of detailed and appropriate data, the collection of which is a costly and time-consuming undertaking. The identification and design of an appropriate data collection metho ...
Browsing for elements of interest within a recorded meeting is time-consuming. We describe work in progress on a meeting browser, which aims to support this process by displaying many types of data. These include media, transcripts and processing results, ...
Due to daylight variability, a design cannot be thoroughly assessed using single-moment simulations, which is why we need dynamic performance metrics like Daylight Autonomy and Useful Daylight Illuminance. Going one step further, the annual variation in pe ...
This paper investigates the use of a hierarchy of Neural Networks for performing data driven feature extraction. Two different hierarchical structures based on long and short temporal context are considered. Features are tested on two different LVCSR syste ...
Following the seminal work of Von Dreele, high quality powder X-ray diffraction studies on proteins are being established as a valuable complementary technique to single-crystal measurements. Several studies using a variety of experiments approaches have b ...
The photoelectron spectra of 3-endo-(2), of 3-exo-methoxybicyclo[2.2.1]heptan-2-one (3) and of 2-endo,3-endo-dimethoxybicyclo[2.2.1]heptane (4) are analyzed in comparison with data reported for other analogous systems and with predictions based on quantum ...
