Contents
Chapter 1:Synthetic Vision Using Volume Learning and Visual DNA
Synthetic Visual Pathway Model
Classifier Learning and Autolearning Hulls
Master Sequence of Visual Genomes and VDNA
Overcoming DNN Spoofing with VGM
Inspection and Inventory Using VDNA
Background Trends in Synthetic Intelligence
Background Visual Pathway Neuroscience
Feature and Concept Memory Locality
Attentional Neural Memory Research
Virtually Unlimited Feature Memory
Neurogenesis, Neuron Size, and Connectivity
Bias for Learning New Memory Impressions
Synthetic Vision Pathway Architecture
VDNA Synthetic Neurobiological Machinery
Learning Centers and Reasoning Agent Models
Deep Learning vs. Volume Learning
Visual Acuity, Attentional Region (AR)
LGN Magno and Parvo Channel Model
Magno and Parvo Feature Metric Details
Eye/LGN Visual Genome Sequencing Phases
Processing Pipeline Output Files and Unique IDs
Chapter 3:Memory Model and Visual Cortex
Memory Impressions and Photographic Memory
CAM Neurons, CAM Features, and CAM Neural Clusters
Visual Cortex and Memory Model Architecture
Primal Shapes, Colors, Textures, and Glyphs
Volume Feature Space, Metrics, Learning
Visual DNA Compared to Human DNA
Spatial Relationship Processing Centers
Visual Genome Format and Encodings
Chapter 4:Learning and Reasoning Agents
Machine Learning and AI Background Survey
Synthetic Learning and Reasoning Model Overview
Conscious Proxy Agents in the PFC
Genetically Preexisting Learnings and Memory
Object Learning vs. Category Learning
Agents as Dedicated Proxy Learning Centers
Agent Learning and Reasoning Styles
Autolearning Hull Threshold Learning
Correspondence Permutations and Autolearning Hull Families
Hull Learning and Classifier Family Learning
Autolearning Hull Reference/Target Differences
Structured Classifiers Using MCC Classifiers
VDNA Sequencing and Unique Genome IDs
Correspondence Signature Vectors (CSV)
Alignment Spaces and Invariance
Agent Architecture and Agent Types
Master Learning Controller: Autogenerated C++ Agents
Chapter 5:VGM Platform Overview
Global Unique File ID and Genome ID
Neuron Encoder and QoS Profiles
Master Learning Controller (MLC)
Correspondence Signature Vectors (CSVs)
Group Metric Classifiers (GMCs)
Interactive Training and Strand Editing
Metric Combination Classifiers (MCCs)
Metric Combination Classifier (MCC) Summary
Image Pre-Processing and Segmenter: lgn
Comparing and Viewing Metrics: vgc
Agent Testing and Strand Management: vgv
Chapter 6:Volume Projection Metrics
Volume Metrics Memory Size Discussion
Magno and Parvo Low-Level Feature Tiles
Realistic Values for Volume Projections
Quantized Volume Projection Metric Renderings
Chapter 7:Color 2D Region Metrics
Squinting Model and Sliding Histograms
Sliding Contrast over Cumulative Histograms
Sliding Lightness over Normal Histograms
Sliding Metrics, Centroid, and Best Match
Static Color Histogram Metrics
Color Level HSL Saturation Boosting
Leveled Histogram Distance, Moments
Strand Topological Shape Metrics
Single-Image vs. Multiple-Image Strands
Strand Local Vector Coordinate System
Strand Shape Metrics: Ellipse and Fourier Descriptors
Volume Projection Shape Metrics
Genome Structure Shape Metrics
Genome Structure Local Feature Tensor Space
Genome Structure Correspondence Metrics
Volume Projection Metrics for CAM Clusters
Volume Metric Distance Functions
Haralick and SDMX Metric Comparison Graphs
Texture Similarity Graphs (Match < 1.0)
Texture Dissimilarity Graphs (Nonmatch > 1.0)
Chapter 10:Region Glyph Metrics
Color Component R,G,B,I G-SURF
Chapter 11:Applications, Training, Results
Strands and Genome Segmentations
Discussion on Segmentation Problems and Work-arounds
Strand Alternatives: Single-image vs. Multi-image
Testing and Interactive Reinforcement Learning
Hierarchical Parallel Ensemble Classifier
Reinforcement Learning Process
Test Genomes and Correspondence Results
Selected Uniform Baseline Test Metrics
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 Strategies and Scoring Criteria
Unit Test for First Order Metric Evaluations
NOMATCH Unit Test Group Results
Chapter 12:Visual Genome Project
VGM Cloud Server, API, and iOS App