This paper presents an approach for indexing a large set of videos by considering the dynamic behaviour of local visual features along the sequences. The proposed concept is based...
In this paper, we introduce the use of nonlinear dimension reduction for the analysis of functional neuroimaging datasets. Using a Laplacian Embedding approach, we show the power ...
For developers debugging their own code, augmenting the code of others, or trying to learn the implementation details of interactive behaviors, understanding how web pages work is...
Super-resolution algorithms typically improve the resolution of a video frame by mapping and performing signal processing operations on data from frames immediately preceding and i...
We investigate classification of non-linguistic vocalisations with a novel audiovisual approach and Long Short-Term Memory (LSTM) Recurrent Neural Networks as highly successful d...