Pattern recognition (PR) is a branch of artificial intelligence and machine learning that focuses on identifying and extracting patterns in data. It is a technique that seeks to find regularities or structures in data that allow it to be classified or modeled more efficiently.
RP is used in a wide variety of applications, such as computer vision, speech processing, biomedical signal analysis, data mining, and fraud detection, among others. For example, in computer vision, RP is used to detect objects in images and videos, while in speech processing, it is used to recognize speech patterns and transform them into text.
The PR process generally involves extracting features from the data and applying machine learning algorithms to identify meaningful patterns in the data. These patterns can be used to classify new data or to create predictive models.
5 Big Data challenges can be highlighted which are defined as V (volume, velocity, veracity, variety and value). R. Narasimhan discussed 3V with [...]
Read More »As e-commerce continues to grow at a dizzying pace, fraudsters are also finding new and sophisticated ways to exploit the potential [...]
Read More »Today, consumers of any type of product or service have become demanding. It has been a long time since they were served anything [...]
Read More »GAMCO's forecasts point to an increase of at least 10% in the percentage of "non-performing loans" to individuals over the next five years.
Read More »
