Driver’s visual attention provides important clues about his/ her activities and awareness. To monitor driver’s awareness, this paper proposes a real-time person-independent head tracking and pose estimation system using a monochromatic camera. The tracking and head-pose estimation tasks are formulated as regression problems. Three regression methods are proposed: (i) individual mapping on imag...

Equation discovery is a very lively area of artificial intelligence which deals with explaining phenomena by mathematical formulae induced from the data. One successful approach to the problem are algorithms which construct thousands of formulae and report the simplest ones with the best fit to the data. Another, sub-symbolic, fits (piecewise) regression hyper-planes; their advantage is that th...

Multiple sclerosis (MS) is a demyelinating disease of the central nervous system whose cause is still unknown. The disease course shows great interand intra-individual variability and this results in insecurity of diagnosis and prognosis. A well-founded knowledge of the natural history of MS, however, is an important prerequisite for developing adequate strategies for therapy and research. In o...

This paper investigates burst segmentation for the evaluation of acoustic cues used to identify unvoiced French stops. Unlike other works which utilize a fixed length window, our approach consists in segmenting bursts into transient and frication noise. The transient is found by minimizing the sum of spectral variances of transient and frication noise over the burst. The spectral variance crite...

In this paper we show that a non-monotonic relationship links certain structural characteristics of the banking market to financial stability, including the number of banks in the market, the branching decisions and branch productivity. Using a non-dynamic panel threshold regression we explain how financial stability is affected by baking market power when market power is subject to one or more...

A changepoint in statistical applications refers to an observational time point at which the structure pattern changes during a somewhat long-term experimentation process. In many cases, the change point time and cause are documented and it is reasonably straightforward to statistically adjust (homogenize) the series for the effects of the changepoint. Sadly many changepoint times are undocumen...

We prove the weak consistency of the posterior distribution and that of the Bayes estimator for a two-phase piecewise linear regression mdoel where the break-point is unknown. The non-differentiability of the likelihood of the model with regard to the break-point parameter induces technical difficulties that we overcome by creating a regularised version of the problem at hand. We first recover ...

Fluid attenuated inversion recovery (FLAIR) with readout-segmented (rs)-EPI Samantha J Holdsworth, Stefan Skare, Kristen Yeom, and Michael E Moseley Lucas Center for Imaging, Department of Radiology, Stanford University, Palo Alto, CA, United States, Clinical Neuroscience, Karolinksa Institute, Stockholm, Sweden, Lucile Packard Children's Hospital, Department of Radiology, Stanford University, ...

Today 3D objects have become widely available in different application domains, thus it is becoming fundamental to use, integrate and develop techniques for extracting and maintaining their implicit knowledge. These techniques should be encapsulated in intelligent systems able to semantically annotate the 3D models, thus improving their usability and indexing, especially in innovative web coope...