Computer Science
Connected Component
100%
Rotation Invariant
100%
Random Decision Forest
100%
feature descriptor
100%
Classification Method
100%
Multi Class Classification
100%
Anisotropic Diffusion
100%
Multiclass Classification
100%
Diffusion Filtering
100%
True Positive Rate
100%
Template Matching
100%
Component Analysis
100%
Detection Method
100%
Classification Algorithm
100%
Machine Learning
100%
Learning System
100%
Hierarchical Classification
100%
Keyphrases
Cryo-electron
100%
Automatic Particle picking
100%
Multi-class Classification
100%
Structure Determination
50%
Random Forest
50%
Macromolecular Structure
50%
Template-free
50%
Density-based Spatial Clustering of Applications with Noise (DBSCAN)
50%
Haar
50%
Detection Method
50%
Template Matching
50%
Two-machine
50%
Classification Methods
50%
Cryo-electron Tomography (cryo-ET)
50%
Machine Learning Models
50%
True Positive Rate
50%
Subtomogram
50%
Anisotropic Diffusion Filtering
50%
Two-stage Detection
50%
Invariant Descriptor
50%
Connected Component Analysis
50%
Rotation Invariant Features
50%
Picking System
50%
Two-stage Classification
50%
Hierarchical Classification Algorithm
50%
Particle Classification
50%
3D Rotation Invariants
50%
Biochemistry, Genetics and Molecular Biology
DNA Template
100%
Structure Determination
50%
Facilitated Diffusion
50%
Cryoelectron Tomography
50%
Random Forest
50%
Classification Algorithm
50%
Proteasome
50%
Immunology and Microbiology
DNA Template
100%
Cryoelectron Tomography
50%
Random Forest
50%
Classification Algorithm
50%
Proteasome
50%
Structure Determination
50%