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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
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Related topics

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Algorithmic tradingAutomated X-ray inspectionBioinformaticsBranch and bound
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Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
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
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Review
2018
Review
2018
Neuro-Inspired Computing With Emerging Nonvolatile Memorys
  • Shimeng Yu
  • Proceedings of the IEEE
  • 2018
    • Corpus ID: 19152264
This comprehensive review summarizes state of the art, challenges, and prospects of the neuro-inspired computing with emerging… Expand
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Review
2018
Review
2018
A Survey on Security Threats and Defensive Techniques of Machine Learning: A Data Driven View
Machine learning is one of the most prevailing techniques in computer science, and it has been widely applied in image processing… Expand
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Review
2018
Review
2018
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Deep neural networks and machine-learning algorithms are pervasively used in several applications, ranging from computer vision… Expand
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Review
2018
Review
2018
Dynamic classifier selection: Recent advances and perspectives
An updated taxonomy of Dynamic Selection techniques is proposed.A review of the state-of-the-art dynamic selection techniques is… Expand
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Review
2018
Review
2018
A survey on deep learning for big data
Abstract Deep learning, as one of the most currently remarkable machine learning techniques, has achieved great success in many… Expand
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Review
2017
Review
2017
A survey of human-centered intelligent robots: issues and challenges
Intelligent techniques foster the dissemination of new discoveries and novel technologies that advance the ability of robots to… Expand
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Review
2017
Review
2017
Data Mining and Analytics in the Process Industry: The Role of Machine Learning
Data mining and analytics have played an important role in knowledge discovery and decision making/supports in the process… Expand
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Review
2017
Review
2017
A brief survey of machine learning methods and their sensor and IoT applications
This paper provides a brief survey of the basic concepts and algorithms used for Machine Learning and its applications. We begin… Expand
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Review
2017
Review
2017
Survey of Machine Learning Algorithms for Disease Diagnostic
In medical imaging, Computer Aided Diagnosis (CAD) is a rapidly growing dynamic area of research. In recent years, significant… Expand
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