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4.6
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18 days
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Computer Vision and Pattern Recognition with Applications

This special issue belongs to the section “E1: Mathematics and Computer Science“.

Special Issue Information

Dear Colleagues,

Computer vision and pattern recognition are fundamental problems in artificial intelligence, which also belongs to the application scopes of mathematical theory and tools. Computer vision enables computers and systems to derive meaningful information from digital images, videos, and other visual inputs and take actions or make recommendations based on that information. Pattern recognition is the process of recognizing patterns using a machine learning algorithm. Recent years have witnessed the rapid expansion of computer vision and pattern recognition, and a wide range of applications based on computer vision and pattern recognition can be seen everywhere, e.g., object detection, recognition, segmentation, classification, content generation, and multimedia analysis. In this Special Issue, we aim to assemble recent advances in computer vision, pattern recognition, and related extended applications.

Prof. Dr. Teng Li
Guest Editor

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Keywords

pattern classification and clustering
machine learning, neural network, and deep learning
theory in computer vision and pattern recognition
low-level vision, image processing, and machine vision
3D computer vision and reconstruction
object detection, tracking, recognition, and action recognition
data mining and signal processing
multimedia/multimodal analysis and applications
biomedical image processing and analysis
medical image analysis and applications
graph theory and its applications
vision analysis and understanding
vision for robots and autonomous driving
vision applications and systems
vision and language

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