Corpus ID: 16409971

Encoding Time Series as Images for Visual Inspection and Classification Using Tiled Convolutional Neural Networks

  title={Encoding Time Series as Images for Visual Inspection and Classification Using Tiled Convolutional Neural Networks},
  author={Zhiguang Wang and T. Oates},
  • Zhiguang Wang, T. Oates
  • Published 2014
  • Computer Science
  • Inspired by recent successes of deep learning in computer vision and speech recognition, we propose a novel framework to encode time series data as different types of images, namely, Gramian Angular Fields (GAF) and Markov Transition Fields (MTF). This enables the use of techniques from computer vision for classification. Using a polar coordinate system, GAF images are represented as a Gramian matrix where each element is the trigonometric sum (i.e., superposition of directions) between… CONTINUE READING
    Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review
    • 575
    • Highly Influenced
    Recent advances in convolutional neural networks
    • 936
    • PDF
    Deep learning for time series classification: a review
    • 300
    • PDF
    Sequence-to-Sequence Model with Attention for Time Series Classification
    • 17
    • Highly Influenced
    • PDF
    Deep Learning for Time-Series Analysis
    • 125
    • PDF
    Sensor Classification Using Convolutional Neural Network by Encoding Multivariate Time Series as Two-Dimensional Colored Images
    • 3
    • Highly Influenced
    • PDF
    Multivariate Time Series Data Transformation for Convolutional Neural Network
    • 4
    Hybrid Neural Networks for Learning the Trend in Time Series
    • 51
    • PDF


    Publications referenced by this paper.
    Face recognition: a convolutional neural-network approach
    • 2,149
    • PDF
    Convolutional networks and applications in vision
    • 1,215
    • PDF
    A Fast Learning Algorithm for Deep Belief Nets
    • 10,964
    • PDF
    Time Series Classification Using Multi-Channels Deep Convolutional Neural Networks
    • 289
    • PDF
    GradientBased Learning Applied to Document Recognition
    • 2,605
    Tiled convolutional neural networks
    • 272
    • Highly Influential
    • PDF
    Learning Convolutional Feature Hierarchies for Visual Recognition
    • 518
    • PDF
    Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
    • 5,924
    • PDF