Human action recognition is a hot research topic in computer vision, mainly due to the high
number of related applications, such as surveillance, human computer interaction, or …

We propose a deterministic initialization of the Echo State Network reservoirs to ensure that
the activation of its internal echo state representations reflects similar topological qualities of …

In the present contribution we consider sequence learning by means of unsupervised and
supervised vector quantization, which should be invariant regarding to shifts in the …

Artificial Intelligence is a field of computer science responsible for creating algorithms
capable of executing tasks that have traditionally required human intelligence. One of these …

The recent introduction of Hankelets to describe time series relies on the assumption that the
time series has been generated by a vector autoregressive model (VAR) of order p. The …

The study of human behaviors in cognitive sciences provides clues to understand and
describe people's personal and interpersonal functioning. In particular, the temporal …

Nowadays human motion analysis is one of the most active research topics in Computer
Vision and it is receiving an increasing attention from both the industrial and scientific …

In the Netherlands there is a high correlation between theft of electricity and cannabis
growing operations. Growing rooms and the related electricity theft pose a risk to the …

Nowadays, interactive multimedia systems are part of everyday life. The most common way
to interact and control these devices is through remote controls or some sort of touch panel …

Abstract Comparison and classification of temporal sequences is a key problem in action
recognition, event detection and abnormal activity detection. The current methods either fail …