Invariant subspace learning for time series data based on dynamic time warping distance

Keyphrases

• Data-centric 100%
• Subspace Learning 100%
• Time Series Data 100%
• Invariant Subspace 100%
• Dynamic Time Warping 100%
• Dynamic Time Warping Distance 100%
• Learning Algorithm 80%
• Reconstruction Error 60%
• Pseudometric Space 40%
• Experiment Results 20%
• Dictionary 20%
• Compact Representation 20%
• Discriminative Features 20%
• Euclidean Distance 20%
• Kernel Principal Component Analysis 20%
• Competitive Results 20%
• Low-dimensional Representation 20%
• Linear Representation 20%
• Intrinsic Basis 20%
• Time Representation 20%
• Transform Invariance 20%
• Temporal Transformation 20%
• Practice Time 20%
• Shared Subspace Learning 20%
• Elastic Distances 20%
• Transformed Data 20%
• Temporal Scaling 20%

Computer Science

• Time Series Data 100%
• Dynamic Time Warping 100%
• Invariant Subspace 100%
• Learning Algorithm 57%
• Reconstruction Error 42%
• Metric Space 28%
• Discriminative Feature 14%
• Compact Representation 14%
• Euclidean Distance 14%
• Transformed Data 14%
• Linear Representation 14%

Mathematics

• Time Series Data 100%
• Metric Space 50%
• Minimizes 25%
• Principal Component Analysis 25%
• Euclidean Distance 25%
• Transformed Series 25%
• Transformed Data 25%