Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Learning a Mahalanobis Distance-Based Dynamic Time Warping Measure for Multivariate Time Series Classification
Toward accurate dynamic time warping in linear time and space
DTW-D: time series semi-supervised learning from a single example
Predicting time series with support vector machines
An efficient and accurate method for evaluating time series similarity
Univariate and Multivariate Time Series Manifold Learning
Exploiting MultiChannels Deep Convolutional Neural Networks for Multivariate Time Series Classification
An Enhanced Representation of Time Series Which Allows Fast and Accurate Classification, Clustering and Relevance Feedback
An Overview and Empirical Comparison of Distance Metric Learning Methods
Pattern discovery in data streams under the time warping distance
a complexity - invariant distance measure for time series .
scaling up dynamic time warping to massive dataset .
Generalizing DTW to the multi-dimensional case requires an adaptive approach
Learning a Mahalanobis Metric from Equivalence Constraints
Making Time-series Classification More Accurate Using Learned Constraints
An improvement of symbolic aggregate approximation distance measure for time series
A Cluster-based Algorithm for Anomaly Detection in Time Series Using Mahalanobis Distance
The Great Time Series Classification Bake Off : A Review and Experimental Evaluation of Recently Proposed Algorithms
Classifying Time Series Using Local Descriptors with Hybrid Sampling
Time Series Classification under More Realistic Assumptions
Characteristic-based Clustering for Time Series Data
Every Time You Go Away: Changes in Affect, Behavior, and Physiology Associated With Travel-Related Separations From Romantic Partners
Automated extraction and parameterization of motions in large data sets
A Wideband Circularly Polarized Omnidirectional Antenna Based on Excitation of Two Orthogonal Circular TE21 Modes
HEVC real-time decoding
nonverbal displays of shame predict relapse and declining health in recovering alcoholics .