Abstract The strongly nonlinear dynamics of taut strings, traveled by a force moving with uniform velocity, is analyzed. A change variable performed, which recasts the equations motion in terms linearized dynamic displacement, measured from quasi-static response. Under hypothesis load velocity far enough celerity string, system appears form linear PDEs whose coefficients are slowly time. Since ...

Through constant exposure to adult input, in dialogue, children’s language gradually develops into rich linguistic constructions that contain multiple cross-modal elements subtly used together for coherent communicative functions. In this chapter, we retrace children’s pathways into multimodal language acquisition in a scaffolding interactional environment. We begin with the first multimodal bu...

We develop mathematical framework and computational tools for calculating frequency responses of linear time-invariant PDEs in which an independent spatial variable belongs to a compact interval. In conventional studies this computation is done numerically using spatial discretization of differential operators in the evolution equation. In this paper, we introduce an alternative method that avo...

Visual data such as videos are often sampled from complex manifold. We propose leveraging the manifold structure to constrain the deep action feature learning, thereby minimizing the intra-class variations in the feature space and alleviating the over-fitting problem. Considering that manifold can be transferred, layer by layer, from the data domain to the deep features, the manifold priori is ...

We propose a minor extension of the Graph Store Protocol and the SPARQL syntax that should be sufficient to enable the application of rules to some kinds of RDF Streams (as defined by the the RDF Stream Processing W3C Community Group) to generate new RDF streams. The IRI identifying an RDF stream is extended with a query string field-value pair defining a sequence of windows of the stream. The ...

We describe two probabilistic models for unsupervised word-sense disambiguation using parallel corpora. The first model, which we call the Sense model, builds on the work of Diab and Resnik (2002) that uses both parallel text and a sense inventory for the target language, and recasts their approach in a probabilistic framework. The second model, which we call the Concept model, is a hierarchica...

The structural consumer demand methods used to estimate the parameters of collective household models are typically either very restrictive and easy to implement or very general and dif cult to estimate. In this paper, we provide a middle ground. We adapt the very general framework of Browning, Chiappori and Lewbel (2007) by adding a simple restriction that recasts the empirical model from a hi...

Aligning named entity taxonomies for comparing or combining di↵erent named entity extraction systems is a di cult task. Often taxonomies are mapped manually onto each other or onto a standardized ontology but at the loss of subtleties between di↵erent class extensions and domain specific uses of the taxonomy. In this paper, we present an approach and experiments for learning customized taxonomy...

Purpose: The purpose of this study was to determine the effectiveness of a conversation intervention including 500 min of linguistically and cognitively complex talk on the expressive vocabulary growth of prekindergarten children. Method: Children (N = 73) were randomly assigned to control or a 10-week experimental intervention condition. Twice weekly, children in the intervention condition rec...

Curve detection is viewed as a process of hypothesis generation and hypothesis testing. Of the two, hypothesis generation has received much attention and many sophisticated post-processing strategies are published in the literature. In this work, the emphasis is shifted to the development of an efficient and effective hypothesis testing strategy to relieve the hypothesis generation from sophist...