Video nystagmography (VNG) is the diagnostic gold standard of benign paroxysmal
positional vertigo (BPPV), which requires medical professionals to examine the direction …

The integration of rich sensory technologies into critical applications, such as gesture
recognition and building energy optimization, has highlighted the importance of intelligent …

Deep neural networks (DNNs), especially convolutional neural networks (CNNs), have been
effective in various data-driven applications. Yet, DNNs suffer from several major …

Many applications generate and/or consume multi-variate temporal data, and experts often
lack the means to adequately and systematically search for and interpret multi-variate …

Despite their impressive success when these hyper-parameters are suitably fine-tuned, the
design of good network architectures remains an art-form rather than a science: while …

Deep neural networks have demonstrated unprecedented success in various multimedia
applications. However, the networks created are often very complex, with large numbers of …

Advances in sensory technologies are enabling the capture of a diverse spectrum of real-
world data streams. In-creasing availability of such data, especially in the form of multi …

A common challenge in multimedia data understanding is the unsupervised discovery of
recurring patterns, or motifs, in time series data. The discovery of motifs in uni-variate time …

Advances in sensor networks have allowed for capturing complex patterns (over time)
spread across multiple sensors generating multi-variate time series (MVTS). Real-World …

Onomatopoeia is used to describe the state and degree of movement. Since onomatopoeia
is a linguistic symbol, it is expected that many people will recall the same image …