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What is Pattern Recognition
1.
Feature-based algorithms for prediction and
pattern recognition
purposes.
Learn more in: Computer Science in Sport
2.
It means the procedure of finding a certain series of signals in a longer data file or signal stream.
Learn more in: Pattern-Based Identification in P2P Systems
3.
A machine learning process which identifies the
pattern
of physical systems using data belong to investigated systems.
Learn more in: General Perspectives on Electromyography Signal Features and Classifiers Used for Control of Human Arm Prosthetics
4.
The assignment of some sort of output value to a given input value, according to some specific algorithm; the technologies designed to provide a reasonable answer for all possible inputs
Learn more in: Technological Approaches to Maintaining Academic Integrity in Management Education
5.
Pattern recognition
is the process of classifying input data into objects or classes based on key features.
Learn more in: Expertise Development for Next-Generation Digital Learners
6.
Process of classifying
pattern
s according to common features. Feature extraction is therefore an ultimate prerequisite for the process of
pattern recognition
.
Learn more in: In Machina Systems for the Rational De Novo Peptide Design
7.
A science that focuses in finding regularities in data.
Learn more in: A Hybrid Intelligent Risk Identification Model for Configuration Management in Aerospace Systems
8.
The act of taking in raw data and taking an action based on the category of the data. It is a field within the area of machine learning.
Learn more in: Data Mining: Payoffs and Pitfalls
9.
The task of assigning each input value to one of a given set of classes (for example, to infer whether a given pixel is a natural or man-made object).
Learn more in: Conditional Random Fields for Modeling Structured Data
10.
Part of machine learning (with supervised learning underpinnings) that classifies or extracts
pattern
s from raw data (measurements or observations) relying on the features of the data.
Learn more in: Linguistic Indexing of Images with Database Mediation
11.
A branch of machine learning that deals with identification of regularities and
pattern
s in a given data.
Learn more in: Computational Methods for Prediction of Protein-Protein Interactions: PPI Prediction Methods
12.
Discovering or detecting the explicit relation or repetitive structures in a dataset using data science.
Learn more in: Demand Forecasting Models With Time Series and Random Forest
13.
An important area of research concerned to discover or identify automatically figures, characters, shapes, forms, and
pattern
s without active human participation in the decision process. It is also related with classify data in categories. Classification consists in learning a model for separating the data categories, that kind of machine learning can be approached using statistical (parametric or no-parametric models) or heuristic techniques. If some prior information is given in learning process, it is called supervised or semi-supervised, else it is called unsupervised.
Learn more in: Automatic Classification of Impact-Echo Spectra I
14.
Pattern recognition
is the scientific discipline whose goal is the classification of objects into a number of categories or classes. Objects can be, for example, signal waveforms or any type of measurement that needs to be classified. These objects are here referred to using the generic term “
pattern
s.”
Learn more in: Unobtrusive Movement Interaction for Mobile Devices
15.
Analytical approaches that detect trends, sequences, or relationships within a dataset.
Learn more in: Approaches to Detect Securities Fraud in Capital Markets
16.
Techniques to identify a given
pattern
from a heterogamous corpus. This
pattern
could be in any media.
Learn more in: Crime Profiling System
17.
Finding
pattern
s in the small parts of a problem helps us see how it all fits together.
Learn more in: Preparing Pre-Service Teachers for the Future: Computational Thinking as a Scaffold for Critical Thinking
18.
The automatic detection of regularities in data using algorithms and the corresponding use of these regularities to perform actions.
Learn more in: Integrated Continuous Healthcare Team Computer System Architecture
19.
The act of taking in raw data and taking an action based on the category of the data. It is a field within the area of machine learning.
Learn more in: Data Mining Fundamental Concepts and Critical Issues
20.
Research area that enclose the development of methods and automatized techniques for identification and classification of samples in specific groups, in accordance with representative characteristics.
Learn more in: Artificial Intelligence in Computer-Aided Diagnosis
21.
The act of taking in raw data and taking an action based on the category of the data. It is a field within the area of machine learning.
Learn more in: Applications of Data Mining in the Healthcare Industry
22.
It means the procedure of finding a certain series of signals in a longer data file or signal stream.
Learn more in: A Content-Sensitive Approach to Search in Shared File Storages
23.
A branch of machine learning that recognizes and separates the
pattern
s of one class from the other.
Learn more in: Soft-Computational Techniques and Spectro-Temporal Features for Telephonic Speech Recognition: An Overview and Review of Current State of the Art
24.
Pattern Recognition
in the discipline which tries to find the classes in the datasets of the various applications and it is the major building block of artificially intelligent systems.
Learn more in: Support Vector Machines and Applications
25.
A sub-topic of machine learning, which aims to classify input
pattern
s into a specific class of pre-defined groups. The classification is usually based on the availability of a set of
pattern
s that have already been classified. Therefore, the resulting learning strategy is based on supervised learning
Learn more in: Hierarchical Neuro-Fuzzy Systems Part I
26.
Automatic process of extracting, representing, and splitting conspicuous characteristics from a dataset to produce several subsets that can be associated with concepts normally accepted by humans.
Learn more in: New Perspectives of Pattern Recognition for Automatic Credit Card Fraud Detection
27.
The procedure of finding a certain series of signals in a longer data file or signal stream.
Learn more in: Light-Weight Content-Based Search for File Sharing Systems
28.
A machine learning process which identifies the
pattern
of physical systems using data belong to investigated systems.
Learn more in: General Perspectives on Electromyography Signal Features and Classifiers Used for Control of Human Arm Prosthetics
29.
Pattern recognition
is the automated
recognition
of
pattern
s and regularities in data.
Pattern recognition
is closely related to artificial intelligence and machine learning, together with applications such as data mining and knowledge discovery in databases, and is often used interchangeably with these terms.
Learn more in: Guidance Algorithm for Unmanned Aerial Vehicles on a Basis System of Technical Viewing
30.
Procedure of finding a certain series of signals in a longer data file or signal stream.
Learn more in: Content-Based Searching in Group Communication Systems
31.
The ability to see something and realize what it is and where it belongs. Humans are extremely adept at this and various forms of this are now computer processes.
Learn more in: Advanced Methodologies Descriptions and Applications
32.
Pattern recognition
is the automated
recognition
of
pattern
s and regularities in data. It is a technology that helps to recognize
pattern
s, which are continuous and repetitive shapes.
Learn more in: Tanimoto Similarity Coefficients Measuring Bipolar q-Rung Picture Fuzzy Information and Their Applications
33.
A branch of machine learning that focuses on the
recognition
of
pattern
s and regularities in data; in some cases, considered to be nearly synonymous with machine learning.
Learn more in: A Comparative Study of Machine Learning Techniques for Gesture Recognition Using Kinect
34.
Concerned with the classification of individual
pattern
s into pre-specified classes (i.e., supervised
pattern recognition
), or with the identification and characterization of
pattern
classes (i.e., unsupervised
pattern recognition
).
Learn more in: Image Classification and Retrieval with Mining Technologies
35.
Noticing when objects, events, or steps repeat or grow in a predictable way (a
pattern
), as a way to help make sense of situations or problems.
Learn more in: Developing Preschoolers' Computational Thinking Skills Through Digital Gameplay
Find more terms and definitions using our
Dictionary Search
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appears in:
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