Face Recognition: Semisupervised Classification, Subspace Projection and Evaluation Methods

Face Recognition: Semisupervised Classification, Subspace Projection and Evaluation Methods

ITexLi | 2016 | ISBN: 9535124218 9535124226 | 100 Pages | PDF | 11 MB


This book is composed of chapters covering introduction, overview, semi-supervised classification, subspace projection, and evaluation techniques.

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.

Contents
Preface
1 Introductory Chapter: Face Recognition - Overview, Dimensionality Reduction, and Evaluation Methods
2 Face Recognition: Issues, Methods and Alternative Applications
3 A Generally Semisupervised Dimensionality Reduction Method with Local and Global Regression Regularizations for Recognition
4 Advances of Robust Subspace Face Recognition
5 Face Recognition: Demystification of Multifarious Aspect in Evaluation Metrics
1st true PDF

Download:

http://longfiles.com/ywgbi939ki1r/-Face_Recognition_Semisupervised_Classification-_Subspace_Projection_and_Evaluation_Methods-_ed._by_S._Ramakrishnan.pdf.html

[Fast Download] Face Recognition: Semisupervised Classification, Subspace Projection and Evaluation Methods


Ebooks related to "Face Recognition: Semisupervised Classification, Subspace Projection and Evaluation Methods" :
Image Processing and Acquisition using Python
The Technology of Binaural Listening (Modern Acoustics and Signal Processing)
Theoretical Foundations of Digital Imaging Using MATLAB
Signal Processing: A Mathematical Approach, Second Edition
Noise and Vibration Analysis: Signal Analysis and Experimental Procedures
Principles of Digital Communication and Coding
Remote Sensing of Urban and Suburban Areas (Remote Sensing and Digital Image Processing)
Digital Signal Processing Techniques and Applications in Radar Image Processing
Handbook of Filter Synthesis
Detection and Signal Processing: Technical Realization
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.