Decision making is a significant responsibility for business managers, their decisions
impacting business performance. Managers are therefore interested in acquiring and …

Multidimensional scaling (MDS) is a technique used to extract a set of independent
variables from a proximity matrix or matrices. Applications of MDS are found in a wide range …

In scientometric research, the use of cooccurrence data is very common. In many cases, a
similarity measure is employed to normalize the data. However, there is no consensus …

The debate about which similarity measure one should use for the normalization in the case
of Author Co‐citation Analysis (ACA) is further complicated when one distinguishes between …

Author co-citation analysis (ACA) has long been used as an effective method for identifying
the intellectual structure of a research domain, but it relies on simple co-citation counting …

Purpose–The purpose of this paper is to contribute to the understanding of mission
statement contents and its function in guiding employee's behaviour from the organisational …

We present a novel action recognition method based on space-time locally adaptive
regression kernels and the matrix cosine similarity measure. The proposed method uses a …

We present a generic detection/localization algorithm capable of searching for a visual
object of interest without training. The proposed method operates using a single example of …

Measuring interdisciplinarity is a pertinent but challenging issue in quantitative studies of
science. There seems to be a consensus in the literature that the concept of …

Sparsity has been showed to be one of the most important properties for visual recognition
purposes. In this paper we show that sparse representation plays a fundamental role in …