This paper presents a study into the detection of skin regions in images where faces may be low-resolution. We focus on surveillance footage and no assumptions are made about fine facial features being visible. This type of data presents the further challenge of changes in appearance of skin regions due to changes in both lighting and resolution. We investigate the use of common colour spaces (...

Various distance-based clustering algorithms have been reported, but the core component of all them is a similarity or distance measure for classification data. Rather than setting priority to comparison performance different algorithms, it may be worthy analyze influence measures on results algorithms. The main contribution this work comparative study impact 9 similarity-based trajectory using...

Protein structure similarity is one of the most important aims pursued by bioinformatics and structural biology, nowadays. Although quite a few similarity methods have been proposed lately, yet fresh algorithms that fulfill new preconditions are needed to serve this purpose. In this paper, we provide a new similarity measure for 3D protein structures that detects not only similar structures but...

Collaborative Filtering techniques offer recommendations to users by leveraging on the preferences of like-minded users. They thus rely highly on similarity measures to determine proximity between users. However, most of the previously proposed similarity measures are heuristics based and are not guaranteed to work well under all data environments. We propose a method employing Genetic algorith...

This article proposes an informational perspective on comparison consequences in social judgment. It is argued that to understand the variable consequences of comparison, one has to examine what target knowledge is activated during the comparison process. These informational underpinnings are conceptualized in a selective accessibility model that distinguishes 2 fundamental comparison processes...