In this paper, extended approach to Gaussian kernel algorithm for text segmentation, reference text line and skew rate extractions is presented. It assumes creation of boundary growing area around text based on Gaussian kernel algorithm extended by anisotropic approach. Those boundary growing areas form control image with distinct objects that are prerequisite for text segmentation. After text ...

This document contains proofs for Example 1, Propositions 6, and Proposition 7 of the manuscript "Dynamic Managerial Compensation: A Variational Approach" omitted in the main text. It also contains a brief description of the numerical analysis reported in the main text at the end of Section 4. All numbered items in this document contain the prefix S. Any numbered reference without a prefix refe...

In this paper, we propose a framework to dynamically estimate the probability that a patient is readmitted after he is discharged from the ICU and transferred to a lower level care. We model this probability as a latent state which evolves over time using Dynamical Linear Models (DLM). We use as an input a combination of numerical and text features obtained from the patient Electronic Medical R...

In this paper, the global dynamics of a periodic disease transmission model with two delays in incubation and asymptomatic carriage periods is investigated. We first derive the model system with a general nonlinear incidence rate function by stage-structure. Then, we identify the basic reproduction ratio [Formula: see text] for the model and present numerical algorithm to calculate it. We obtai...

Modern data streams routinely combine text with the familiar numerical data used in regression analysis. For example, listings for real estate that show the price of a property typically include a verbal description. Some descriptions include numerical data, such as the number of rooms or the size of the home. Many others, however, only verbally describe the property, often using an idiosyncrat...

We present a consistent renormalization of the topand bottom-quark/squark sector of the minimal supersymmetric standard model with complex parameters. Various renormalization schemes are defined, analyzed analytically, and tested numerically in the decays ~t2 ! ~ biHþ=Wþ (i 1⁄4 1, 2). No scheme is found that produces numerically acceptable results over all the parameter space, where problems oc...

This paper proposes a new view of pattern discovery in music: mining of a corpus for maximally general patterns that are overrepresented with respect to an anticorpus. An algorithm for maximally general distinctive pattern discovery is described and applied to folk song melodies from three geographic regions. Distinctive patterns have applicability to comparative music analysis tasks where an a...

We examine correlations between student learning and student acoustic-prosodic profiles, which prior research has shown to be predictive of emotional states. We compare these correlations in two corpora of spoken tutoring dialogues: a human-human corpus and a human-computer corpus. Our results suggest that rather than relying on emotion prediction models developed via the more labor-intensive m...

This article presents a question generation (QG) system which is integrated within an automatic exercise generation system. The QG system deals with Basque language and the target selection is restricted to numerical entities. In this article we present an experiment which was conducted on a specialised corpus on science and technology and the system was evaluated manually and automatically.