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Category I.5.4 Applications

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Current category: Top :: ITHEA Classification Structure :: I. Computing Methodologies :: I.5 PATTERN RECOGNITION :: I.5.4 Applications

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ITHEA Classification Structure

A. General Literature

A.1 INTRODUCTORY AND SURVEY

A.m MISCELLANEOUS

B.1 CONTROL STRUCTURES AND MICROPROGRAMMING

B.1.1 Control Design Styles

B.1.2 Control Structure Performance Analysis and Design Aids

B.1.3 Control Structure Reliability, Testing, and Fault-Tolerance

B.1.4 Microprogram Design Aids

B.1.5 Microcode Applications

B.1.m Miscellaneous

B.2 ARITHMETIC AND LOGIC STRUCTURES

B.2.1 Design Styles

B.2.2 Performance Analysis and Design Aids

B.2.3 Reliability, Testing, and Fault-Tolerance

B.2.4 High-Speed Arithmetic

B.2.m Miscellaneous

B.3 MEMORY STRUCTURES

B.3.1 Semiconductor Memories

B.3.2 Design Styles

B.3.3 Performance Analysis and Design Aids

B.3.4 Reliability, Testing, and Fault-Tolerance

B.3.m Miscellaneous

B.4 INPUT/OUTPUT AND DATA COMMUNICATIONS

B.4.1 Data Communications Devices

B.4.2 Input/Output Devices

B.4.3 Interconnections (Subsystems)

B.4.4 Performance Analysis and Design Aids

B.4.5 Reliability, Testing, and Fault-Tolerance

B.4.m Miscellaneous

B.5 REGISTER-TRANSFER-LEVEL IMPLEMENTATION

B.5.2 Design Aids

B.5.3 Reliability and Testing

B.5.m Miscellaneous

B.6 LOGIC DESIGN

B.6.1 Design Styles

B.6.2 Reliability and Testing

B.6.3 Design Aids

B.6.m Miscellaneous

B.7 INTEGRATED CIRCUITS

B.7.1 Types and Design Styles

B.7.2 Design Aids

B.7.3 Reliability and Testing

B.7.m Miscellaneous

B.8 PERFORMANCE AND RELIABILITY

B.8.1 Reliability, Testing, and Fault-Tolerance

B.8.2 Performance Analysis and Design Aids

B.8.m Miscellaneous

B.m MISCELLANEOUS

C. Computer Systems Organization

C.1 PROCESSOR ARCHITECTURES

C.1.1 Single Data Stream Architectures

C.1.2 Multiple Data Stream Architectures (Multiprocessors)

C.1.3 Other Architecture Styles

C.1.4 Parallel Architectures

C.1.m Miscellaneous

C.2 COMPUTER-COMMUNICATION NETWORKS

C.2.1 Network Architecture and Design

C.2.2 Network Protocols

C.2.3 Network Operations

C.2.4 Distributed Systems

C.2.5 Local and Wide-Area Networks

C.2.6 Internetworking

C.2.m Miscellaneous

C.3 SPECIAL-PURPOSE AND APPLICATION-BASED SYSTEMS

C.4 PERFORMANCE OF SYSTEMS

C.5 COMPUTER SYSTEM IMPLEMENTATION

C.5.1 Large and Medium (``Mainframe'') Computers

C.5.2 Minicomputers

C.5.3 Microcomputers

C.5.4 VLSI Systems

C.5.m Miscellaneous

C.m MISCELLANEOUS

D.1 PROGRAMMING TECHNIQUES

D.1.1 Applicative (Functional) Programming

D.1.2 Automatic Programming

D.1.3 Concurrent Programming

D.1.4 Sequential Programming

D.1.5 Object-oriented Programming

D.1.6 Logic Programming

D.1.7 Visual Programming

D.1.m Miscellaneous

D.2 SOFTWARE ENGINEERING

D.3 PROGRAMMING LANGUAGES

D.3.1 Formal Definitions and Theory

D.3.2 Language Classifications

D.3.3 Language Constructs and Features

D.3.4 Processors

D.3.m Miscellaneous

D.4 OPERATING SYSTEMS

D.m MISCELLANEOUS

E.1 DATA STRUCTURES

E.2 DATA STORAGE REPRESENTATIONS

E.3 DATA ENCRYPTION

E.4 CODING AND INFORMATION THEORY

E.m MISCELLANEOUS

F. Theory of Computation

F.1 COMPUTATION BY ABSTRACT DEVICES

F.1.1 Models of Computation

F.1.2 Modes of Computation

F.1.3 Complexity Measures and Classes

F.1.m Miscellaneous

F.2 ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY

F.2.1 Numerical Algorithms and Problems

F.2.2 Nonnumerical Algorithms and Problems

F.2.3 Tradeoffs between Complexity Measures

F.2.m Miscellaneous

F.3 LOGICS AND MEANINGS OF PROGRAMS

F.3.1 Specifying and Verifying and Reasoning about Programs

F.3.2 Semantics of Programming Languages

F.3.3 Studies of Program Constructs

F.3.m Miscellaneous

F.4 MATHEMATICAL LOGIC AND FORMAL LANGUAGES

F.4.1 Mathematical Logic

F.4.2 Grammars and Other Rewriting Systems

F.4.3 Formal Languages

F.4.m Miscellaneous

F.m MISCELLANEOUS

G. Mathematics of Computing

H. Information Systems

H.1 MODELS AND PRINCIPLES

H.1.1 Systems and Information Theory

H.1.2 User/Machine Systems

H.1.m Miscellaneous

H.2 DATABASE MANAGEMENT

H.3 INFORMATION STORAGE AND RETRIEVAL

H.3.1 Content Analysis and Indexing

H.3.2 Information Storage

H.3.3 Information Search and Retrieval

H.3.4 Systems and Software

H.3.5 Online Information Services

H.3.6 Library Automation

H.3.7 Digital Libraries

H.3.m Miscellaneous

H.4 INFORMATION SYSTEMS APPLICATIONS

H.4.1 Office Automation

H.4.2 Types of Systems

H.4.3 Communications Applications

H.4.m Miscellaneous

H.5 INFORMATION INTERFACES AND PRESENTATION

H.5.1 Multimedia Information Systems

H.5.2 User Interfaces (D.2.2, H.1.2, I.3.6)

H.5.3 Group and Organization Interfaces

H.5.4 Hypertext/Hypermedia

H.5.5 Sound and Music Computing

H.5.m Miscellaneous

H.m MISCELLANEOUS

I. Computing Methodologies

I.1 SYMBOLIC AND ALGEBRAIC MANIPULATION

I.1.1 Expressions and Their Representation

I.1.2 Algorithms

I.1.3 Languages and Systems

I.1.4 Applications

I.1.m Miscellaneous

I.2 ARTIFICIAL INTELLIGENCE

I.3 COMPUTER GRAPHICS

I.4 IMAGE PROCESSING AND COMPUTER VISION

I.5 PATTERN RECOGNITION

I.5.2 Design Methodology

I.5.3 Clustering

I.5.4 Applications

I.5.5 Implementation

I.5.m Miscellaneous

I.6 SIMULATION AND MODELING

I.7 DOCUMENT AND TEXT PROCESSING

I.7.1 Document and Text Editing

I.7.2 Document Preparation

I.7.3 Index Generation

I.7.4 Electronic Publishing

I.7.5 Document Capture

I.7.m Miscellaneous

I.m MISCELLANEOUS

J. Computer Applications

J.1 ADMINISTRATIVE DATA PROCESSING

J.2 PHYSICAL SCIENCES AND ENGINEERING

J.3 LIFE AND MEDICAL SCIENCES

J.4 SOCIAL AND BEHAVIORAL SCIENCES

J.5 ARTS AND HUMANITIES

J.6 COMPUTER-AIDED ENGINEERING

J.7 COMPUTERS IN OTHER SYSTEMS

J.m MISCELLANEOUS

K. Computing Milieux

K.1 THE COMPUTER INDUSTRY

K.2 HISTORY OF COMPUTING

K.3 COMPUTERS AND EDUCATION

K.3.1 Computer Uses in Education

K.3.2 Computer and Information Science Education

K.3.m Miscellaneous

K.4 COMPUTERS AND SOCIETY

K.4.1 Public Policy Issues

K.4.2 Social Issues

K.4.3 Organizational Impacts

K.4.4 Electronic Commerce

K.4.m Miscellaneous

K.5 LEGAL ASPECTS OF COMPUTING

K.5.1 Hardware/Software Protection

K.5.2 Governmental Issues

K.5.m Miscellaneous

K.6 MANAGEMENT OF COMPUTING AND INFORMATION SYSTEMS

K.6.1 Project and People Management

K.6.2 Installation Management

K.6.3 Software Management

K.6.4 System Management

K.6.5 Security and Protection

K.6.m Miscellaneous

K.7 THE COMPUTING PROFESSION

K.7.1 Occupations

K.7.2 Organizations

K.7.3 Testing, Certification, and Licensing

K.7.4 Professional Ethics

K.7.m Miscellaneous

K.8 PERSONAL COMPUTING

K.8.1 Application Packages

K.8.3 Management/Maintenance

K.8.m Miscellaneous

K.m MISCELLANEOUS

Objects (8)

I.5.4 Applications	Article	CLASSIFICATION OF BIOMEDICAL SIGNALS USING THE DYNAMICS	Abstract: Accurate and efficient analysis of biomedical signals can be facilitated by proper identification based on their dominant dynamic characteristics (deterministic, chaotic or random). Specifi
I.5.4 Applications	Article	GENETIC BASED SPOT DETECTION METHOD IN TWO-DIMENSIONAL ELECTROPHORESIS IMAGES	Abstract: The image analysis of two-dimensional electrophoresis images is a difficult task were authors were not able to find any other work in the literature handling with evolutionary computation in
I.5.4 Applications	Article	MANOMETRY-BASED COUGH IDENTIFICATION ALGORITHM	Abstract: Gastroesophageal reflux disease (GERD) is a common cause of chronic cough. For the diagnosis and treatment of GERD, it is desirable to quantify the temporal correlation between cough and re
I.5.4 Applications	Article	POLLEN GRAINS RECOGNITION USING STRUCTURAL APPROACH AND NEURAL NETWORKS	Abstract: This paper describes the problem of automated pollen grains image recognition using images from microscope. This problem is relevant because it allows to automate a complex process of polle
I.5.4 Applications	Article	TOWARDS A SEMANTIC CATALOG OF SIMILARITY MEASURES	Abstract: The tasks that encloses the Semantic Web often requires semantic comparisons between classes, properties, relations and instances, that mainly consist in semantic similarity. As a consequen
I.5.4 Applications	Article	TRAINING A LINEAR NEURAL NETWORK WITH A STABLE LSP SOLUTION FOR JAMMING ...	Abstract: Two jamming cancellation algorithms are developed based on a stable solution of least squares problem (LSP) provided by regularization. They are based on filtered singular value decompositi
I.5.4 Applications	Article	ПОВЫШЕНИЕ ТОЧНОСТИ РЕШЕНИЯ ОБРАТНОЙ ЗАДАЧИ	Аннотация: Приводятся результаты исследования разрабатываемого подхода к решению дискретной некорректной
I.5.4 Applications	Article	РАЗРАБОТКА МЕТОДИКИ АВТОМАТИЧЕСКОГО ТЕСТИ�	Аннотация: В статье рассматривается проблема автоматического тестирования алгоритмов поиска человека по п�

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