Stored-value cards, or prepaid cards, are increasingly popular. Like credit cards, their use is
vulnerable to fraud, costing merchants and card processors millions of dollars. Prior …

In this paper we introduce an efficient algorithm for alignment of multiple large-scale
biological networks. In this scheme, we first compute a probabilistic similarity measure …

Approaches to design metrics between hidden Markov models (HMM) can be divided into
two classes: data-based and parameter-based. The latter has the clear advantage of being …

In this paper, we present a normalized statistical metric space for hidden Markov models
(HMMs). HMMs are widely used to model real-world systems. Like graph matching, some …

This study reviewed the application of Markov models to various comparative network
analysis problems which provides a powerful means of gaining novel system-level …

Wearable gait analysis systems using inertial sensors offer the potential for easy-to-use gait
assessment in lab and free-living environments. This can enable objective long-term …

If an experimentalist observes a sequence of emitted quantum states via either projective or
positive-operator-valued measurements, the outcomes form a time series. Individual time …

Histogram analysis has nowadays gain in interest, and a lot of work yet address this task. In
most of the existing approaches, histograms are manipulated as simple vectors or as statistic …

We present a framework for discovering acoustic units and generating an associated
pronunciation lexicon from an initial grapheme-based recognition system. Our approach …

Resilience is a property of major interest for the design and analysis of generic complex
systems. A system is resilient if it can adjust in response to disruptive shocks, and still …