In multiview multilabel learning, each object is represented by several heterogeneous feature representations and also annotated with a set of discrete nonexclusive labels. Previous studies typically focus on capturing the shared latent patterns among multiple views, while not sufficiently considering diverse characteristics individual which can cause performance degradation. this article, we p...

Motor neural networks and muscles produce identifiably common outputs, such as a trot or gallop, despite varations in intrinsic properties across individuals. New work shows that sensory input can induce the requisite decrease in across-individual variability even as it increases within-individual variability.

The exploration of animal migration has entered a new era with individual-based tracking during multiple years. Here, we investigated repeated migratory journeys of a long-distance migrating bird, the marsh harrier Circus aeruginosus, in order to analyse the variation within and between individuals with respect to routes and timing. We found that there was a stronger individual repeatability in...