What is Pattern Recognition

It means the procedure of finding a certain series of signals in a longer data file or signal stream.

A machine learning process which identifies the pattern of physical systems using data belong to investigated systems.

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

Pattern recognition is the process of classifying input data into objects or classes based on key features.

Process of classifying patterns according to common features. Feature extraction is therefore an ultimate prerequisite for the process of pattern recognition.

A science that focuses in finding regularities in data.

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.

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).

Part of machine learning (with supervised learning underpinnings) that classifies or extracts patterns from raw data (measurements or observations) relying on the features of the data.

A branch of machine learning that deals with identification of regularities and patterns in a given data.

Discovering or detecting the explicit relation or repetitive structures in a dataset using data science.

An important area of research concerned to discover or identify automatically figures, characters, shapes, forms, and patterns 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.

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 “patterns.”

Analytical approaches that detect trends, sequences, or relationships within a dataset.

Techniques to identify a given pattern from a heterogamous corpus. This pattern could be in any media.

Finding patterns in the small parts of a problem helps us see how it all fits together.

The automatic detection of regularities in data using algorithms and the corresponding use of these regularities to perform actions.

Is a data analysis method that uses machine learning algorithms to automatically recognize patterns and regularities in data.

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.

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.

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.

Is the ability to detect arrangements of characteristics or data that yield information about a given system or data set.

It means the procedure of finding a certain series of signals in a longer data file or signal stream.

A branch of machine learning that recognizes and separates the patterns of one class from the other.

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.

A sub-topic of machine learning, which aims to classify input patterns into a specific class of pre-defined groups. The classification is usually based on the availability of a set of patterns that have already been classified. Therefore, the resulting learning strategy is based on supervised learning

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.

The procedure of finding a certain series of signals in a longer data file or signal stream.

A machine learning process which identifies the pattern of physical systems using data belong to investigated systems.

Pattern recognition is the automated recognition of patterns 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.

Procedure of finding a certain series of signals in a longer data file or signal stream.

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.

Pattern recognition is the automated recognition of patterns and regularities in data. It is a technology that helps to recognize patterns, which are continuous and repetitive shapes.

A branch of machine learning that focuses on the recognition of patterns and regularities in data; in some cases, considered to be nearly synonymous with machine learning.

Concerned with the classification of individual patterns into pre-specified classes (i.e., supervised pattern recognition), or with the identification and characterization of pattern classes (i.e., unsupervised pattern recognition).

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.