
Face Recognition
Semisupervised Classification, Subspace Projection and Evaluation Methods
- 102 pages
- English
- PDF
- Available on iOS & Android
Face Recognition
Semisupervised Classification, Subspace Projection and Evaluation Methods
About this book
Pattern recognition has gained significant attention due to the rapid explosion of internet- and mobile-based applications. Among the various pattern recognition applications, face recognition is always being the center of attraction. With so much of unlabeled face images being captured and made available on internet (particularly on social media), conventional supervised means of classifying face images become challenging. This clearly warrants for semi-supervised classification and subspace projection. Another important concern in face recognition system is the proper and stringent evaluation of its capability. This book is edited keeping all these factors in mind. This book is composed of five chapters covering introduction, overview, semi-supervised classification, subspace projection, and evaluation techniques.
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Information
Table of contents
- Face Recognition - Semisupervised Classification, Subspace Projection and Evaluation Methods
- Contents
- Preface
- Chapter 1 Introductory Chapter: Face Recognition - Overview, Dimensionality Reduction, and Evaluation Methods
- Chapter 2 Face Recognition: Issues, Methods and Alternative Applications
- Chapter 3 A Generally Semisupervised Dimensionality Reduction Method with Local and Global Regression Regularizations for Recognition
- Chapter 4 Advances of Robust Subspace Face Recognition
- Chapter 5 Face Recognition: Demystification of Multifarious Aspect in Evaluation Metrics