연구동향 분석

Development of Handwriting Recognition Using Deep Learning in Unity3D

이혜문 이원형 2019년

논문상세정보
인용/피인용
' Development of Handwriting Recognition Using Deep Learning in Unity3D' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • Character recognition
  • Convolutional Neural Network
  • Deep learning
  • Handwriting Recognition
  • unity 3d
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
1,681 0

0.0%

' Development of Handwriting Recognition Using Deep Learning in Unity3D' 의 참고문헌

  • https://www.numpy.org/
  • https://keras.io/
  • Very deep convolutional networks for large-scale image recognition
  • Unity: A general platform for intelligent agents
  • The state of the art in online handwriting recognition
  • Tensorflow: A system for large-scale machine learning
  • Study on Using Deep Learning Method to Realize The Emotion Linkage between The Gamer and His Avatar in Poker Game
    갈지용 [2018]
  • Imagenet classification with deep convolutional neural networks
  • HMM based online handwriting recognition
  • Gradient-based learning applied to document recognition
    LeCun, Yann [1998]
  • Going deeper with convolutions
  • EMNIST: an extension of MNIST to handwritten letters
  • Deep residual learning for image recognition
    He, Kaiming [2016]
  • Artificial intelligence: a modern approach
  • Artificial Intelligence and Creative Deep Learning GAN and Reinforcement Learning Technology Trend
  • Artificial Intelligence (AI)Technology Trends and Market Forecasts Leading Innovation in Service Industry
  • An overview of the Tesseract OCR engine
    Smith, Ray [2007]
  • Adjusting the Difficulty of Running Game with Facial Expression Recognition Technology Using Convolutional Neural Network
    왕지소 [2018]
  • A Study on the VR Payment System using Hand Gesture Recognition
    김경환 [2018]