- Cover
- Title Page
- Copyright
- Contents
- Preface
- Chapter 1: Synthetic Vision Using Volume Learning and Visual DNA
- Chapter 2: Eye/LGN Model
- Chapter 3: Memory Model and Visual Cortex
- Overview
- Visual Cortex Feedback to LGN
- Memory Impressions and Photographic Memory
- CAM Neurons, CAM Features, and CAM Neural Clusters
- Visual Cortex and Memory Model Architecture
- CAM and Associative Memory
- Multivariate Features
- Primal Shapes, Colors, Textures, and Glyphs
- Feature VDNA
- Volume Feature Space, Metrics, Learning
- Visual DNA Compared to Human DNA
- Spatial Relationship Processing Centers
- Strand and Bundle Models
- Visual Genome Sequencing
- Summary
- Chapter 4: Learning and Reasoning Agents
- Chapter 5: VGM Platform Overview
- Overview
- Feature Metrics, Old and New
- Invariance
- Visual Genomes Database
- Agent Management
- Master Learning Controller (MLC)
- CSV Agents
- Correspondence Signature Vectors (CSVs)
- Group Metric Classifiers (GMCs)
- Strand Topological Distance
- Interactive Training and Strand Editing
- Metric Combination Classifiers (MCCs)
- VGM Platform Controllers
- Summary
- Chapter 6: Volume Projection Metrics
- Chapter 7: Color 2D Region Metrics
- Chapter 8: Shape Metrics
- Chapter 9: Texture Metrics
- Chapter 10: Region Glyph Metrics
- Chapter 11: Applications, Training, Results
- Overview
- Test Application Outline
- Strands and Genome Segmentations
- Testing and Interactive Reinforcement Learning
- Test Genomes and Correspondence Results
- Selected Uniform Baseline Test Metrics
- Test Genome Pairs
- Compare Leaf : Head (Lo-res) Genomes
- Compare ront Squirrel : Stucco Genomes
- Compare Rotated Back : Brush Genomes
- Compare Enhanced Back : Rotated Back Genomes
- Compare Left Head : Right Head Genomes
- Test Genome Correspondence Scoring Results
- Scoring Results Discussion
- Scoring Strategies and Scoring Criteria
- Unit Test for First Order Metric Evaluations
- Agent Coding
- Summary
- Chapter 12: Visual Genome Project
- Bibliography
- Index
Acknowledgments
Thanks to Jeffrey Pepper at De Gruyter Publishers for taking this project and making it possible; thanks to Uma Gadamsetty for technical editorial feedback and interesting applications discussions; and thanks to several other reviewers, most notably Chris Nelson, Jaya Dalal, and many people at De Gruyter for editorial touches during the publications process. Thanks to those who have graciously provided permissions to use illustrations, as well as numerous conversations on various points with several people, too many to mention. As usual, thanks to my wife for advising me and managing my schedule, so that I pace myself and do not burn out as rapidly as I am able to by over working and enjoying it (maybe too much). And most thanks to the Father of Lights, who shines wisdom and knowledge on us all, Anno Domini 2018.
Scott Krig
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