This paper presents a corpus and experiments to determine dimensions of interpersonal relationships. We define a set of dimensions heavily inspired by work in social science. We create a corpus by retrieving pairs of people, and then annotating dimensions for their relationships. A corpus analysis shows that dimensions can be annotated reliably. Experimental results show that given a pair of pe...

‎let $v$ be an $n$-dimensional complex inner product space‎. ‎suppose‎ ‎$h$ is a subgroup of the symmetric group of degree $m$‎, ‎and‎ ‎$chi‎ :‎hrightarrow mathbb{c} $ is an irreducible character (not‎ ‎necessarily linear)‎. ‎denote by $v_{chi}(h)$ the symmetry class‎ ‎of tensors associated with $h$ and $chi$‎. ‎let $k(t)in‎ (v_{chi}(h))$ be the operator induced by $tin‎ ‎text{end}(v)$‎. ‎the...

The computational fluid dynamics (CFD) simulations of gas turbine combustor were performed for CH4<span st...

Establishing hidden communication and conveying information secretly has been of interest since long past ago. One of the methods introduced for establishing hidden communication is Steganography. Methods of Steganography have been mostly applied on images, audios, videos, and text files while the major characteristics of these methods are to change in the structure and features so as not be id...

In this paper, we describe a strategy of using compressed bitmap indices to speed up queries on both numerical data and text documents. By using an efficient compression algorithm, these compressed bitmap indices are compact even for indices with millions of distinct terms. Moreover, bitmap indices can be used very efficiently to answer Boolean queries over text documents involving multiple que...

Ontology has become increasingly important to software systems. The aim of ontology learning is to ease one of the major problems in ontology engineering, i.e. the cost of ontology construction. Much of the effort within the ontology learning community has focused on learning from text collections. However, environmental domains often deal with numerical measurement data and, therefore, rely on...

Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerical features, or possibly numerical codes. In addition, for classification, a clear goal for learning must be specified. While some databases may readily be arranged in standard form, many others may be combinations of n...

In this paper, for a given matrix [Formula: see text], in terms of [Formula: see text] and [Formula: see text], where [Formula: see text], [Formula: see text], some new inclusion sets for singular values of the matrix are established. It is proved that the new inclusion sets are tighter than the Geršgorin-type sets (Qi in Linear Algebra Appl. 56:105-119, 1984) and the Brauer-type sets (Li in Co...

This paper describes the characteristics of compact text as revealed in computer analysis of a set of physician notes. Computer processing of the documents was performed using the LSP system for natural language analysis. A numerical breakdown of syntactic and semantic patterns found in the texts is pre~ented. It is found that four major properties of compact text make it possible to process th...