I. Computing methodologies

I. Computing methodologies : hovedinndeling

• I.0 - Computing methodologies - General
• I.1 - Symbolic and algebraic manipulation
• I.2 - Artificial intelligence
• I.3 - Computer graphics
• I.4 - Image processing and computer vision
• I.5 - Pattern recognition
• I.6 - Simulation and modeling
• I.7 - Document and text processing
• I.m - Computing methodologies - Miscellaneous

I.0 - Computing methodologies - General

I.1 - Symbolic and algebraic manipulation

I.1.0 - Algebraic manipulation - General

I.1.1 - Expressions and their representation

Representations (general and polynomial); Simplification of expressions; ;

I.1.2 - Algorithms

Algebraic algorithms; Analysis of algorithms; Nonalgebraic algorithms

I.1.3 - Languages and systems

Evaluation strategies; Nonprocedural languages; Special-purpose algebraic systems; Special-purpose hardware; Substitution mechanisms;

I.1.4 - Applications

I.1.m - Algebraic manipulation - Miscellaneous

I.2 - Artificial intelligence

I.2.0 - Artificial intelligence - General

Cognitive simulation; Philosophical foundations; Artificial life;

I.2.1 - Applications and expert systems

Cartography; Games; Industrial automation; Law; Medicine and science; Natural language interfaces; Office automation;

I.2.2 - Automatic programming

Automatic analysis of algorithms; Program modification; Program synthesis; Program transformation; Program verification

I.2.3 - Deduction and theorem proving

Answer/reason extraction; Deduction (e.g. natural, rule-based); Logic programming; Mathematical induction; Metatheory; Nonmonotonic reasoning and belief revision; Resolution; Uncertainty, "fuzzy" and probabilistic reasoning; Inference engines; ;

I.2.4 - Knowledge representation formalisms and methods

Frames and scripts; Predicate logic; Relation systems; Representation languages; Representations (procedural and rule-based); Semantic networks; Modal logic; Temporal logic;

I.2.5 - Programming languages and software

Expert system tools and techniques;

I.2.6 - Learning

Analogies; Concept learning; Connectionism and neural nets; Induction; Knowledge acquisition; Language acquisition; Parameter learning; ; Machine learning; Genetic algorithms;

I.2.7 - Natural language processing

Discourse; Language generation; Language models; Language parsing and understanding; Machine translation; Speech recognition and synthesis; Text analysis; Semantics; Linguistics

I.2.8 - Problem solving, control methods and search

Backtracking; Dynamic programming; Graph and tree search strategies; Heuristic methods; Plan execution, formation, generation; Control theory; Scheduling;

I.2.9 - Robotics

Manipulators; Propelling mechanisms; Sensors; Autonomous vehicels; Commercial robots and applications; Kinematics and dynamics; Operator interfaces;

I.2.10 - Vision and scene understanding

Architecture and control structures; Intensity, color, photometry, and thresholding; Modeling and recovery of physical attributes; Motion; Perceptual reasoning; Representations, data structures, and transforms; Shape; Texture; 3D/stereo scene analysis; Video analysis;

I.2.11 - Distributed artificial intelligence

Coherence and coordination; Languages and structures; Intelligent agents; Multiagent systems;

I.2.m - Artificial intelligence - Miscellaneous

I.3 - Computer graphics

I.3.0 - Computer graphics - General

I.3.1 - Hardware architecture

Graphics processors; Hardcopy devices; Input devices; Parallel processing; Raster display devices; Storage devices; Three-dimensional displays; Vector display devices;

I.3.2 - Graphic systems

Distributed/network graphics; Remote systems; Stand-alone systems;

I.3.3 - Picture/image generation

Antialiasing; Bitmap and framebuffer operations; Digitizing and scanning; Display algorithms; Line and curve generation; Viewing algorithms; Graph drawing;

I.3.4 - Graphic utilities

Application packages; Device drivers; Graphic editors; Graphics packages; Meta files; Paint systems; Picture description languages; Software support; Virtual device interfaces;

I.3.5 - Computational geometry and object modeling

Boundary representations; Constructive solid geometry (CSG); Curve, surface, solid, and object representations; Geometric algorithms, languages, and systems; Hierarchy and geometric transformations; Modeling packages; Object hierarchies; Physically based modeling; Splines;

I.3.6 - Methodology and techniques

Device independence; Ergonomics; Graphics data structures and data types; Interaction techniques; Languages; Standards (e.g. GKS, PHIGS, VDI, CGM, IGES);

I.3.7 - Three-dimensional graphics and realism

Animation; Color, shading, shadowing, and texture; Fractals; Hidden line/surface removal; Radiosity; Virtual reality; Visible line/surface algorithms;

I.3.8 - Applications

I.3.m - Computer graphics - Miscellaneous

I.4 - Image processing and computer vision

I.4.0 - Image processing - General

Image displays; Image processing software;

I.4.1 - Digitization and image capture

Quantization; Sampling; Scanning; Camera calibration; Imaging geometry; Radiometry; Reflectance;

I.4.2 - Compression (coding)

Approximate methods; Exact coding;

I.4.3 - Enhancement

Filtering; Geometric correction; Grayscale manipulation; Registration; Sharpening and deblurring; Smoothing;

I.4.4 - Restoration

Inverse filtering; Kalman filtering; Pseudoinverse restoration; Wiener filtering;

I.4.5 - Reconstruction

Series expansion methods; Summation methods; Transform methods;

I.4.6 - Segmentation

Edge and feature detection; Pixel classification; Region growing, partitioning; Relaxation;

I.4.7 - Feature measurement

Invariants; Moments; Projections; Size and shape; Texture; Feature measurements;

I.4.8 - Scene analysis

Depth cues; Photometry; Range data; Sensor fusion; Stereo; Time-varying imagery; Colour; Motion; Object recognition; Shading; Shape; Surface fitting; Tracking;

I.4.9 - Applications

I.4.10 - Image representation

Hierarchical; Morphological; Multidimensional; Statistical; Volumetric;

I.4.m - Image processing - Miscellaneous

I.5 - Pattern recognition

I.5.0 - Pattern recognition - General

I.5.1 - Models

Deterministic; Fuzzy set; Geometric; Neural nets; Statistical; Structural;

I.5.2 - Design methodology

Classifier design and evaluation; Feature evaluation and selection; Pattern analysis;

I.5.3 - Clustering

Algorithms; Similarity measures;

I.5.4 - Applications

Computer vision; Signal processing; Text processing; Waveform analysis; Handwriting analysis;

I.5.5 - Implementation

Interactive systems; Special architectures;

I.5.m - Pattern recognition - Miscellaneous

I.6 - Simulation and modeling

I.6.0 - Simulation and modeling - General

I.6.1 - Simulation theory

Model classification; Systems theory; Types of simulation (continuous and discrete);

I.6.2 - Simulation languages

I.6.3 - Applications

I.6.4 - Model validation and analysis

I.6.5 - Model development

Modeling methodologies;

I.6.6 - Simulation output analysis

I.6.7 - Simulation support systems

Environments;

I.6.8 - Types of simulation

Animation; Combined; Discrete event; Distributed; Gaming; Monte Carlo; Parallel; Visual;

I.6.m - Simulation and modeling - Miscellaneous

I.7 - Document and text processing

I.7.0 - Text processing - General

I.7.1 - Document and text editing

Languages; Spelling; Document management; Version control;

I.7.2 - Document preparation

Desktop publishing; Format and notation; Hypertext/hypermedia; Languages and systems; Multi/mixed media; Photocomposition/typesetting; Standards; Digital typography; Index generation; Markup languages; Scripting languages;

I.7.3 - Index generation

I.7.4 - Electronic publishing

I.7.5 - Document capture

Document analysis; Graphics recognition and interpretation; Optical character recognition; Scanning;

I.7.m - Text processing - Miscellaneous

I.m - Computing methodologies - Miscellaneous