Transfer learning aims to faciliate learning tasks in a label-scarce target domain by leveraging knowledge from a related source domain with plenty of labeled data. Often times we may have multiple domains with little or no labeled data as targets waiting to be solved. Most existing efforts tackle target domains separately by modeling the ‘source-target’ pairs without exploring the relatedness ...

In many practical cases, we need to generalize a model trained in a source domain to a new target domain. However, the distribution of these two domains may differ very significantly, especially sometimes some crucial target features may not have support in the source domain. This paper proposes a novel locality preserving projection method for domain adaptation task, which can find a linear ma...

Creating arbitrary light patterns finds applications in various domains including lithography, beam shaping, metrology, sensing and imaging. We study the formation of high-contrast light patterns that are obtained by transmission through an ordered optical element based on self-imaging. By applying the phase-space method, we explain phenomena such as the Talbot and the angular Talbot effects. W...

The article examines the multimodal metaphors which actualise concept of CHORNOBYL in five episodes miniseries Chernobyl. procedure analysis includes identifyingand selecting following Filmic Metaphor Identification Procedure, construing and describing structure key sub-metaphors with target domain CHORNOBYL, distinguishing modes domains, interpreting meanings attitudes that are mapped onto dom...

The domain adaptation of satellite images has recently gained an increasing attention to overcome the limited generalization abilities machine learning models when segmenting large-scale images. Most existing approaches seek for adapting model from one another. However, such single-source and single-target setting prevents methods being scalable solutions, since nowadays multiple source target ...

Cross-Domain Recommendation is a new field of study in the area of recommender systems. The goal of this type of recommender systems is to use information from other source domains to provide recommendations in target domains. In this work, we provide a generic framework for content-based cross-domain recommendations that can be used with various classifiers. In this framework, we propose an e ...

Most large proteins are built of several domains, compact units which enable functional protein motions. Different domain assignment approaches exist, which mostly rely on concepts of stability, folding, and evolution. We describe the automatic assignment method CoMoDo, which identifies domains based on protein dynamics. Covariances of atomic fluctuations, here calculated by an Elastic Network ...

Sequence comparisons are presented for four segments of the large subunit of ribosomal RNA, including divergent domains D7a and D7b, portions of the large divergent domains D2, D3, and D8, and evolutionarily conservative sequences flanking divergent domains. These results resolve phylogenetic relationships among exemplars of seven families of salamanders and the three amphibian orders. Phylogen...

This paper presents an empirical analysis of the Open Source development process from the point of view of the involvement of the developers in the production process. The study focuses on how developers contribute to projects in terms of involvement, size and kind of their contribution. Data have been collected from 53 Open Source projects and target application domains include different areas...

The paper describes different methods devoted to the reproduction of sound source directivity. Although being dedicated to different application domains, they are based on similar physical modelling and rely on array technology driven by signal processing. In the first approach, a 3D array of transducers laid out on the facets of a polyhedron is controlled in order to radiate sound according to...