Natural Language
[Provide a short definition]
Section: Context Supplied by Text or Language (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Navigation
[Provide a short definition]
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Navigation -- Landmarks (H3)
Section: Navigation Issues (H3)
Section: Vehicle Based Structure, Depth, and Shape from Motion (H2)
Nearest Neighbor
[Provide a short definition]
Section: Fast Nearest Neighbor Techniques (H3)
Section: Nearest Neighbor Classification (H2)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Network Descriptions
[Provide a short definition]
Section: Basic Comparison of Relational Network Descriptions (H2)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Networks
[Provide a short definition]
Section: Network Analysis, Wireless, Intrusion (H2)
Section: New Unsorted Entries, and Other Miscellaneous Papers (H)
Neural Nets
[Provide a short definition]
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Learning Face Detection, Neural Nets, SVM (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)
* Recognition of Handwritten Musical Notes by a Modified Neocognitron
Neural Networks
[Provide a short definition]
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Face Recognition Systems Using Neural Networks, Learning (H2)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Graph Matching, Neural Networks, Hopfield Networks (H2)
Section: Learning in Computer Vision (H1)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Neural Networks Applied to Specific Problems (H3)
Section: Neural Networks Combinations and Evaluations (H3)
Section: Neural Networks for Classification and Pattern Recognition (H3)
Section: Neural Networks for Numbers and Digits (H4)
Section: Neural Networks for Shapes and Complex Features (H3)
Section: Neural Networks: General, Survey, Special Issues (H3)
Section: Neural Networks (H2)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Automatic Feature Generation for Handwritten Digit Recognition
* Combining Artificial Neural Networks and Symbolic Processing for Autonomous Robot Guidance
* Comparative Study of Three Paradigms for Object Recognition: Bayesian Statistics, Neural Networks, and Expert Systems, A
* Experimental Comparison of Neural and Statistical Nonparametric Algorithms for Supervised Classification of Remote Sensing Images, An
* Fuzzy Hierarchical Data Fusion Networks for Terrain Location Identification Problems
* Handprinted Character-Recognition Based on Spatial Topology Distance Measurement
* Learning Texture-Discrimination Masks
* Multiresolution Recognition of Unconstrained Handwritten Numerals with Wavelet Transform and Multilayer Cluster Neural-Network
* Neural Networks for the Classification of Image Texture
* On the Behavior of Artificial Neural-Network Classifiers in High-Dimensional Spaces
* Online Shape-Recognition with Incremental Training Using Binary Synaptic Weights Algorithm
* simplified neuron model as a principal component analyzer, A
* Use Neural Networks to Determine Matching Order for Recognizing Overlapping Objects
31 for Neural Networks
Neurons
[Provide a short definition]
Section: Extraction and Analysis of Neurons (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
News Programs
[Provide a short definition]
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: News Video Analysis, Cut Detection, Summaries, Indexing (H2)
NMF
Definition:* Non-negative Matrix Factorizations.
Noise Models
[Provide a short definition]
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Noise Models, Digitization Noise (H3)
Noise Reduction
[Provide a short definition]
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: MRI, Enhancement, Noise and Artifact Reduction (H2)
Noise Removal
[Provide a short definition]
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Multiplicative Noise Removal (H3)
Section: Noise Removal, Adaptive, Non-linear Techniques (H3)
Section: Noise Removal, Denoising (H2)
Section: Noise Removal, Impulse Noise (H3)
Section: Noise Removal, Wavelet Techniques (H3)
Section: Poisson Noise Removal (H3)
Section: Radar, Speckle Analysis and Removal, Speckle Reduction, Despeckle (H2)
Section: Total Variation Restoration (H3)
10 for Noise Removal
Noise
[Provide a short definition]
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Noise Models in Segmentation (H2)
Non-accidentalness
[Provide a short definition]
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Perceptual Grouping, Saliency, Theory (H2)
* What is Perceptual Organization for?
Non-Rigid Motion
[Provide a short definition]
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Energy Constraints on Deformable Models: Recovering Shape and Non-rigid Motion
* Volumetric Deformation Analysis Using Mechanics-Based Data Fusion: Applications in Cardiac Motion Recovery
Non-Rigid Registration
[Provide a short definition]
Section: Non-Rigid Image Registration, Deformable Registration, Techniques (H3)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Nonparametric Clustering
[Provide a short definition]
Section: Nonparametric Clustering (H2)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Nonrigid Motion
[Provide a short definition]
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Nonrigid, Deformable Motion Tracking (H3)
Section: Nonrigid, Non-Rigid, Deformable Motion Analysis and Tracking (H2)
* Reconstruction of dynamic 3-D structures of biological objects using stereo microscopy
Nonrigid Tracking
[Provide a short definition]
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Nonrigid, Deformable Motion Tracking (H3)
Section: Nonrigid, Non-Rigid, Deformable Motion Analysis and Tracking (H2)
Normal Flow
[Provide a short definition]
Section: Optical Flow Field Computations and Use (H)
* What Is Computed by Structure from Motion Algorithms?
Number of Clusters
[Provide a short definition]
Section: Detecting Clusters and Number of Clusters (H2)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Numbers
[Provide a short definition]
Section: Multiple Classifiers Applied to Arabic Numbers (H4)
Section: Neural Networks for Numbers and Digits (H4)
Section: OCR, Document Analysis and Character Recognition Systems (H)