Adaptive query processing for time-series data
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Classification on pairwise proximity data
Proceedings of the 1998 conference on Advances in neural information processing systems II
Scaling up dynamic time warping for datamining applications
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Segment-based approach for subsequence searches in sequence databases
Proceedings of the 2001 ACM symposium on Applied computing
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
On Comparing Classifiers: Pitfalls toAvoid and a Recommended Approach
Data Mining and Knowledge Discovery
Machine Learning as an Experimental Science
Machine Learning
Distance Measures for Effective Clustering of ARIMA Time-Series
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Identifying Representative Trends in Massive Time Series Data Sets Using Sketches
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
On the need for time series data mining benchmarks: a survey and empirical demonstration
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Supporting Content-Based Searches on Time Series via Approximation
SSDBM '00 Proceedings of the 12th International Conference on Scientific and Statistical Database Management
On-Line Handwriting Recognition with Support Vector Machines " A Kernel Approach
IWFHR '02 Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR'02)
Kernel Methods for Pattern Analysis
Kernel Methods for Pattern Analysis
Online event-driven subsequence matching over financial data streams
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Learning with non-positive kernels
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Estimating the Support of a High-Dimensional Distribution
Neural Computation
An introduction to ROC analysis
Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition
Support vector machines for dyadic data
Neural Computation
Fast Kernel Classifiers with Online and Active Learning
The Journal of Machine Learning Research
Optimizing resources in model selection for support vector machine
Pattern Recognition
Statistical Comparisons of Classifiers over Multiple Data Sets
The Journal of Machine Learning Research
On the marriage of Lp-norms and edit distance
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Learning transportation mode from raw gps data for geographic applications on the web
Proceedings of the 17th international conference on World Wide Web
Toward accurate dynamic time warping in linear time and space
Intelligent Data Analysis
A Study on the Dynamic Time Warping in Kernel Machines
SITIS '07 Proceedings of the 2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System
Pedestrian Detection from a Moving Camera with an Advanced Camera-Motion Estimator
SITIS '07 Proceedings of the 2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System
Time Warp Edit Distance with Stiffness Adjustment for Time Series Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mining interesting locations and travel sequences from GPS trajectories
Proceedings of the 18th international conference on World wide web
Forecasting model of global stock index by stochastic time effective neural network
Expert Systems with Applications: An International Journal
Sequential non-stationary dynamic classification with sparse feedback
Pattern Recognition
Pattern Recognition Letters
Infrared gait recognition based on wavelet transform and support vector machine
Pattern Recognition
λ-Perceptron: An adaptive classifier for data streams
Pattern Recognition
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Weighted dynamic time warping for time series classification
Pattern Recognition
Improved support vector machine generalization using normalized input space
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Classification in a normalized feature space using support vector machines
IEEE Transactions on Neural Networks
An Analysis of Different Approaches to Gait Recognition Using Cell Phone Based Accelerometers
Proceedings of International Conference on Advances in Mobile Computing & Multimedia
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We describe a new technique for sequential data analysis, called GDTW-P-SVMs. It is a maximum margin method for the construction of classifiers with variable-length input series. It employs potential support vector machines (P-SVMs) and Gaussian Dynamic Time Warping (GDTW) to waive the fixed-length restriction of feature vectors in training and test data. As a result, GDTW-P-SVMs enjoy the P-SVM method's properties such as the ability to: (i) handle data and kernel matrices that are neither positive definite nor square and (ii) minimise a scale-invariant capacity measure. The new technique elaborates on the P-SVM kernel functions, by utilising the well-known dynamic time warping algorithm to provide an elastic distance measure for the kernel functions. Benchmarks for classification are performed with several real-world data sets from the UCR time series classification/clustering page, the GeoLife trajectory data set, and the UCI Machine Learning Repository. The data sets include data with both variable and fixed-length input series. The results show that the new method performs significantly better than the benchmarked standard classification methods.