The lip-region can be interpreted as either a genetic or behavioural biometric trait. Despite this breadth of biometric content, lip-based biometric systems are scarcely developed in the literature. A recent trend in lip biometrics is to use a spatiotemporal texture representation of visual speech to generate biometric features. In this paper we make two contributions related to the above biome...

Given pervasive games that maintain a virtual spatiotemporal model of the physical world, game designers must contend with space and time in the virtual and physical. Previous works on pervasive games have partially contended with these representations, but an integrated conceptual model is lacking. Because they both make use of the Earth’s geography, the problem domains of GIS and pervasive ga...

Spatiotemporal regulation of transcription is fine-tuned at multiple levels, including chromatin compaction. Polycomb Repressive Complex 2 (PRC2) catalyzes the trimethylation of Histone 3 at lysine 27 (H3K27me3), which is the hallmark of a repressive chromatin state. Multiple PRC2 complexes have been reported in Arabidopsis thaliana to control the expression of genes involved in developmental t...

In this paper, we address outliers in spatiotemporal data streams obtained from sensors placed across geographically distributed locations. Outliers may appear in such sensor data due to various reasons such as instrumental error and environmental change. Realtime detection of these outliers is essential to prevent propagation of errors in subsequent analyses and results. Incremental Principal ...

The increased availability of spatiotemporal data collected from satellite imagery and other remote sensors provides opportunities for enhanced analysis of geographic phenomena. Much of the new data includes regular snapshots of the environment. Comparison of these snapshots can provide information about changes to the phenomena of interest. However, conventional GIS data models and analytical ...

Confounding sources of variation, which are often either unknown or known with error, are widespread in genomic datasets, and failing to adjust for them may adversely impact statistical inference. In this context, we propose a “spatiotemporal” independent component analysis method that possesses a novel invariance property, and we show that that spatiotemporal aspect may increase the ability of...

Considering the problem of parametric nonlinear interaction, we report the experimental observation of electromagnetic waves characterized by an X-shaped spatiotemporal coherence; i.e., coherence is neither spatial nor temporal, but skewed along specific spatiotemporal trajectories. The application of the usual, purely spatial or temporal, measures of coherence would erroneously lead to the con...

In this paper we show that the analysis of the dynamics in localized regions, i.e., sub-systems can be used to characterize the chaotic dynamics and the synchronization ability of the spatiotemporal systems. Using noisy scalar time-series data for driving along with simultaneous self-adaptation of the control parameter representative control goals like suppressing spatiotemporal chaos and synch...

A spatiotemporal network is a spatial network (e.g., road network) along with the corresponding time-dependent travel-time for each segment of the network. Design and analysis of policies and plans on spatiotemporal networks (e.g., for path planning with locationbased services) require realistic models that accurately represent the temporal behavior of such networks. In this paper, for the firs...