Early classification of time series has been extensively studied for minimizing class
prediction delay in time-sensitive applications such as medical diagnostic and industrial …

Nowadays, interest in mobile communications is growing rapidly due to the high level of
device development, which permits the achievement of good objectives in terms of quality of …

Subspace clustering is an effective technique for segmenting data drawn from multiple
subspaces. However, for time series data (eg, human motion), exploiting temporal …

Early classification of time series is the prediction of the class label of a time series before it
is observed in its entirety. In time-sensitive domains where information is collected over time …

Early classification of time series aims to predict the class value of a sequence accurately as
early as possible, not wait for the full-length data, which is significant in many time-sensitive …

Getting real-time information about the operational behavior of industrial or domestic
appliances becomes effortless with the availability of sensors. The sensors generate …

An important issue of research in the transportation system is timely classification of the
inside-outside environment of the vehicle using sensors. The sensors generate the …

By virtue of the increasingly large amount of various sensors, information about the same
object can be collected from multiple views. These mutually enriched information can help …

Activity classification has been an interesting area of research for many years, to better
understand human behavior. Recent advancements in embedded computing systems …

In many time-sensitive applications, knowing the classification results as early as possible
while preserving the accuracy is extremely important for further actions. Shapelet-based …