Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

Pattern recognition

Known as: Pattern Recognition and Learning, Pattern recognition (machine learning), Pattern (disambiguation) 
Pattern recognition is a branch of machine learning that focuses on the recognition of patterns and regularities in data, although it is in some… Expand
Wikipedia

Related topics

Related topics

49 relations
Algorithmic tradingAutomated X-ray inspectionBioinformaticsBranch and bound
Expand

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Review of Deep Learning Algorithms and Architectures
Deep learning (DL) is playing an increasingly important role in our lives. It has already made a huge impact in areas, such as… Expand
  • figure 1
  • figure 2
  • figure 3
  • table 1
  • figure 4
Review
2019
Review
2019
A Survey on Energy Efficient Narrowband Internet of Things (NBIoT): Architecture, Application and Challenges
The advancement of technologies over years has poised Internet of Things (IoT) to scoop out untapped information and… Expand
  • figure 1
  • figure 2
  • table 1
  • figure 3
  • figure 4
Review
2019
Review
2019
Texture Feature Extraction Methods: A Survey
Texture analysis is used in a very broad range of fields and applications, from texture classification (e.g., for remote sensing… Expand
  • table 1
Review
2019
Review
2019
Recent Advances in Convolutional Neural Network Acceleration
Abstract In recent years, convolutional neural networks (CNNs) have shown great performance in various fields such as image… Expand
  • figure 1
  • table 1
  • figure 2
  • table 2
  • figure 3
Review
2019
Review
2019
Deep Learning for Sensor-based Activity Recognition: A Survey
Abstract Sensor-based activity recognition seeks the profound high-level knowledge about human activities from multitudes of low… Expand
  • figure 1
  • figure 2
  • table 1
  • table 2
  • table 3
Review
2019
Review
2019
How Complex Is Your Classification Problem?
Characteristics extracted from the training datasets of classification problems have proven to be effective predictors in a… Expand
  • figure 1
  • figure 2
  • figure 4
  • figure 3
  • figure 5
Review
2018
Review
2018
EMG Pattern Recognition in the Era of Big Data and Deep Learning
The increasing amount of data in electromyographic (EMG) signal research has greatly increased the importance of developing… Expand
  • table 1
  • table 1
  • table 2
  • table 3
  • table 4
Review
2018
Review
2018
Wild patterns: Ten years after the rise of adversarial machine learning
Abstract Learning-based pattern classifiers, including deep networks, have shown impressive performance in several application… Expand
  • figure 1
  • figure 2
  • figure 4
  • figure 3
  • figure 6
Review
2016
Review
2016
Quantum machine learning
Machine learning techniques are applied for solving a large variety of practical problems. The tasks attacked by machine learning… Expand
Highly Cited
2007
Highly Cited
2007
Pattern Recognition and Machine Learning
  • R. Neal
  • Technometrics
  • 2007
    • Corpus ID: 31993898
the selection of symmetric factorial designs, that is, a design where all factors have the same number of levels. Chapter 3… Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License
ACCEPT & CONTINUE