Index
- 2-bit quantization , ,
- 2-bits ,
- 3-bits , ,
- 5-bit color input ,
- 5-bits , , , , , , , ,
- 6-bits ,
- 7-bits ,
- 8-bit , , , , , , , ,
- 8-bit Color space metrics
- A
- ABCD genome orientation ,
- Accuracy , , , , , , , ,
- ACM ,
- Address , , , , , , , ,
- Adjacent pixels , , ,
- Adversarial images , ,
- Agent architecture , , ,
- Agent architecture and agent types ,
- Agent callbacks
- Agent hunting
- Agent ID list
- Agent learning , ,
- Agent management ,
- Agent match criteria
- Agent name , , , ,
- Agent registry , , , , ,
- Agent types ,
- Agents , , , , , , , ,
- – autonomous ,
- – back.strand , ,
- – box.strand
- – char , ,
- – foliage.strand
- – leaves.strand , ,
- – registered ,
- – scaled.strand
- – separate ,
- – shades.strand ,
- – shade.strand
- – shadows.strand
- – side.strand ,
- – stucco.strand
- – sweater.strand ,
- – vgc
- Agents model , , , ,
- Algorithms , , , , , , ,
- API (Application Programming Interface) , , , , , , , ,
- API calls
- Application domains ,
- Applications , , , , , , , ,
- – test ,
- AR (Attentional Region) , , , , , ,
- Associative memory , , , , ,
- Autolearning hull families , , ,
- Autolearning hull files ,
- Autolearning hull range ,
- Autolearning hull thresholds , , ,
- Autolearning hulls , , , , , , , ,
- – default ,
- Average score ,
- B
- Background , , , , , , , ,
- Background Survey , , ,
- Back.strand
- Base attributes MCC metric functions ,
- Base feature metrics , ,
- Base genome metrics , , ,
- Base metric structures , ,
- Base metrics , , , , , , , ,
- Base metrics files , ,
- Bases , , , , , , , ,
- Bengio , , , ,
- Best scores , , , , ,
- – returning
- Bestmatch , , , ,
- Biomedical Imagery
- Biomedical pattern recognition and image processing
- Bird.strand , , ,
- Bit mask , ,
- Bit quantization ,
- Bits , , , , , , , ,
- Bitslots
- Blue , , , , , ,
- Blue cones , ,
- Blur , , , , , , , ,
- Blur projections , ,
- Blur RGB
- Blurred.strand ,
- Bounding box , , , ,
- Box.strand ,
- Brain , , , , , , ,
- Brain mapping ,
- Branch , , ,
- Branch.strand , , ,
- Bricks.strand ,
- Bundle models ,
- Bundles , , , , , , , ,
- C
- C, shape S, texture T, and glyphs G (CSTG) ,
- Callback , ,
- CAM (content-addressable memory) , , , , , , , ,
- CAM address , ,
- CAM clusters, volume projection metrics for , , ,
- CAM feature spaces , , , , , , , ,
- CAM features , , , ,
- CAM memory
- CAM neurons , , , , ,
- Candidate genomes ,
- Candidate genomes Cn
- Candidates , , , , ,
- – target strand ST
- Category , , , ,
- Category reference objects ,
- CCIN (comprehensive color image normalization)
- Cells , , , , ,
- Centroid , , , , , , , ,
- Char ,
- CLAHE
- Classification , , , , , , , ,
- Classifier family learning ,
- Classifiers , , , , , , , ,
- – metrics correspondence ,
- Clausi ,
- CLOSE ,
- CLOSE scores ,
- CLOSE test genome pairs
- Code , , , , , , , ,
- Color , , , , , , , ,
- – 8-bit
- – best , ,
- – common , , – double
- – opponent ,
- – popular , , ,
- – primal
- – standard , , , ,
- Color base ,
- Color channels , ,
- Color component , , , , , ,
- Color component values ,
- Color correspondence
- Color image segmentation ,
- Color information , , , ,
- Color labeling , ,
- Color labels , , ,
- – standard , ,
- Color leveling , , ,
- Color leveling alignment spaces ,
- Color leveling methods
- Color leveling works ,
- Color levels , ,
- Color list, standard
- Color maps ,
- – standard
- Color metrics , , , , , , , ,
- Color metrics function signatures
- Color metrics functions
- Color palettes ,
- Color perception ,
- Color popularity ,
- Color popularity algorithms ,
- Color range ,
- Color score
- Color segmentation ,
- Color SIFT ,
- Color space components , , ,
- Color spaces , , , , , , , ,
- – leveled ,
- – multiple , , ,
- – separate
- Color visualizations
- COLORS , , , , , , , ,
- Command shell ,
- Commands , , ,
- Comparison , , , , , , , ,
- – brush , , , ,
- Comparison metrics , ,
- Component , , , , , , , ,
- Component values
- Comprehensive color image normalization (CCIN)
- Compute SDMX metrics
- Computer vision , , , , , , , ,
- Computer Vision and Pattern Recognition. See CVPR
- Computer Vision Metrics , ,
- Computer vision models , ,
- Concepts , , , , , , , ,
- – higher-level , , , , ,
- Cones , , , , , , ,
- – green ,
- Connectivity , ,
- Constant , , , , , ,
- Containment , , , , , , , ,
- Content-addressable memory. See CAM
- Context , , , ,
- Contrast , , , , , , , ,
- Contrast variations
- Control flags ,
- Controller , , , , , ,
- Coordinate system
- – local , ,
- – strand-relative local
- Coordinates, normalized
- CORR , , , ,
- Correlation , , , , , , , ,
- Correspondence controller , ,
- Correspondence metrics ,
- Correspondence scores , , , , , , , ,
- – final ,
- Count , , , , , , , ,
- Coverage , , , , , , ,
- Criteria , , , , , ,
- CSTG (C, shape S, texture T, and glyphs G) ,
- CSV agent calls
- CSV agent parameterizations
- CSV agents , , , , , , , ,
- – predefined ,
- CSV Metric Functions
- CSV Texture Functions ,
- CSVs (correspondence signature vectors) , , , , , , , ,
- Custom agents , , , , , ,
- – registered
- CVPR (Computer Vision and Pattern Recognition) , , ,
- D
- Dahlem Workshop on Biomedical Pattern Recognition and Image Processing
- Dark , , ,
- Data structures , , , ,
- Database , , , , ,
- Default agents
- Default CSV agents , , , , , , , ,
- Deg , , , , , ,
- Degrees , , , , , , , ,
- Delta , , , , , , , ,
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