"Pattern Recognition Applications" ed. by Carlos Travieso-Gonzalez

In this book two important fields are shown. Data analysis tools to identify patterns, and a system for building 3D abstractions with wireframes.

Nowadays, technological advances allow the development of many applications in different fields. The first field, data analysis, is a good tool to identify patterns; in particular, it is observed by a stereoscopic calculation model based on fixation eye movement, a visual interactive programming learning system, an approach based on color analysis of Habanero chili pepper, an approach for the visualization and analysis of inconsistent data, and finally, a system for building 3D abstractions with wireframes. On the other hand, automatic systems help to detect or identify different kinds of patterns. It is applying to incomplete data analysis a retinal biometric approach based on crossing and bifurcation, an Arabic handwritten signature identification system, and finally, the use of clustering methods for gene expression data with RNA-seq.

Contents
1. Stereoscopic Calculation Model Based on Fixational Eye Movements
2. Visual Identification of Inconsistency in Pattern
3. Build 3D Abstractions with Wireframes
4. Incomplete Data Analysis
5. Retina Recognition Using Crossings and Bifurcations
6. New Attributes Extraction System for Arabic Autograph as Genuine and Forged through a Classification Techniques
7. Current State-of-the-Art of Clustering Methods for Gene Expression Data with RNA-Seq


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