Some remarks on tangent martingale difference sequences in L1L^1-spaces

Let X be a Banach space. Suppose that for all $p\in (1, \infty)$ a constant $C_{p,X}$ depending only on X and p exists such that for any two X-valued martingales f and g with tangent martingale difference sequences one has \E\|f\|^p \leq C_{p,X} \E\|g\|^p (*). This property is equivalent to the UMD condition. In fact, it is still equivalent to the UMD condition if in addition one demands that either f or g satisfy the so-called (CI) condition. However, for some applications it suffices to assume that (*) holds whenever g satisfies the (CI) condition. We show that the class of Banach spaces for which (*) holds whenever only g satisfies the (CI) condition is more general than the class of UMD spaces, in particular it includes the space L^1. We state several problems related to (*) and other decoupling inequalities

Representing disease courses: An application of the Neurological Disease Ontology to Multiple Sclerosis Typology

The Neurological Disease Ontology (ND) is being developed to provide a comprehensive framework for the representation of neurological diseases (Diehl et al., 2013). ND utilizes the model established by the Ontology for General Medical Science (OGMS) for the representation of entities in medicine and disease (Scheuermann et al., 2009). The goal of ND is to include information for each disease concerning its molecular, genetic, and environmental origins, the processes involved in its etiology and realization, as well as its clinical presentation including signs and symptoms

Should We Flip the Script?: A Literature Review of Deficit-Based Perspectives on First-Year Undergraduate Students’ Information Literacy

This mixed method systematic review considers recent literature on the information literacy (IL) skills of first-year undergraduate students. The review uncovers the following themes: faculty and librarians perceive first-year students as lacking IL skills; students have varying perceptions of their IL skills; assessment studies yield conflicting findings on first-year students\u27 IL; communication between high school and college librarians is challenging; and some IL researchers emphasise and leverage first-year students\u27 prior knowledge and experience in IL instruction. These themes emerge from extensive searches in four research databases for scholarly and professional articles written in English within the past ten years. With the exception of a few articles, studies reviewed consistently express their findings in terms of students’ gaps or deficits. We question whether this is the most productive basis for developing effective IL programs. Instead, we call for further investigation of students’ existing knowledge and skills as a basis for implementing constructivist and strengths-based pedagogies

Non-rigid Reconstruction with a Single Moving RGB-D Camera

We present a novel non-rigid reconstruction method using a moving RGB-D camera. Current approaches use only non-rigid part of the scene and completely ignore the rigid background. Non-rigid parts often lack sufficient geometric and photometric information for tracking large frame-to-frame motion. Our approach uses camera pose estimated from the rigid background for foreground tracking. This enables robust foreground tracking in situations where large frame-to-frame motion occurs. Moreover, we are proposing a multi-scale deformation graph which improves non-rigid tracking without compromising the quality of the reconstruction. We are also contributing a synthetic dataset which is made publically available for evaluating non-rigid reconstruction methods. The dataset provides frame-by-frame ground truth geometry of the scene, the camera trajectory, and masks for background foreground. Experimental results show that our approach is more robust in handling larger frame-to-frame motions and provides better reconstruction compared to state-of-the-art approaches.Comment: Accepted in International Conference on Pattern Recognition (ICPR 2018