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Hands-On Machine Learning with IBM Watson

You're reading from  Hands-On Machine Learning with IBM Watson

Product type Book
Published in Mar 2019
Publisher Packt
ISBN-13 9781789611854
Pages 288 pages
Edition 1st Edition
Languages
Author (1):
James D. Miller James D. Miller
Profile icon James D. Miller
Toc

Table of Contents (15) Chapters close

Preface 1. Section 1: Introduction and Foundation
2. Introduction to IBM Cloud 3. Feature Extraction - A Bag of Tricks 4. Supervised Machine Learning Models for Your Data 5. Implementing Unsupervised Algorithms 6. Section 2: Tools and Ingredients for Machine Learning in IBM Cloud
7. Machine Learning Workouts on IBM Cloud 8. Using Spark with IBM Watson Studio 9. Deep Learning Using TensorFlow on the IBM Cloud 10. Section 3: Real-Life Complete Case Studies
11. Creating a Facial Expression Platform on IBM Cloud 12. The Automated Classification of Lithofacies Formation Using ML 13. Building a Cloud-Based Multibiometric Identity Authentication Platform 14. Another Book You May Enjoy

Exploring expression databases

At the core of all facial expression analysis solutions is an expression database.

A (facial) expression database is a collection of images showing the specific facial expressions of a range of emotions. These images must be well annotated or emotion-tagged if they are to be useful to expression recognition systems and their related algorithms.

A major hindrance to new developments in the area of automatic human behavior analysis is the lack of suitable databases with displays of behavior and affect. There have been directed advances in this area, as in the MMI Facial Expression Database project, which aims to deliver large volumes of visual data of facial expressions to the facial expression analysis community.

The MMI Facial Expression Database was initially created in 2002 as a resource for building and evaluating facial expression recognition...
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