Dynamic programming algorithm optimization for spoken word recognition
Readings in speech recognition
The nature of statistical learning theory
The nature of statistical learning theory
Large Margin Classification Using the Perceptron Algorithm
Machine Learning - The Eleventh Annual Conference on computational Learning Theory
Scaling up dynamic time warping for datamining applications
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient Retrieval of Similar Time Sequences Under Time Warping
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
Learning Comprehensible Descriptions of Multivariate Time Series
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration
Data Mining and Knowledge Discovery
Margin based feature selection - theory and algorithms
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Exact indexing of dynamic time warping
Knowledge and Information Systems
Fast time series classification using numerosity reduction
ICML '06 Proceedings of the 23rd international conference on Machine learning
An Adaptable Time Warping Distance for Time Series Learning
ICMLA '06 Proceedings of the 5th International Conference on Machine Learning and Applications
Information-theoretic metric learning
Proceedings of the 24th international conference on Machine learning
Survey of Improving K-Nearest-Neighbor for Classification
FSKD '07 Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 01
Information Sciences: an International Journal
Distance Learning for Similarity Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Toward accurate dynamic time warping in linear time and space
Intelligent Data Analysis
Induction of multiple fuzzy decision trees based on rough set technique
Information Sciences: an International Journal
Proceedings of the VLDB Endowment
Mining frequent trajectory patterns in spatial-temporal databases
Information Sciences: an International Journal
Time series shapelets: a new primitive for data mining
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Improving generalization of fuzzy IF-THEN rules by maximizing fuzzy entropy
IEEE Transactions on Fuzzy Systems
Positive approximation: An accelerator for attribute reduction in rough set theory
Artificial Intelligence
Discovering multi-label temporal patterns in sequence databases
Information Sciences: an International Journal
Large margin nearest neighbor classifiers
IEEE Transactions on Neural Networks
Time series classification by class-specific Mahalanobis distance measures
Advances in Data Analysis and Classification
SAGA: A novel signal alignment method based on genetic algorithm
Information Sciences: an International Journal
Coarse to fine K nearest neighbor classifier
Pattern Recognition Letters
A time series forest for classification and feature extraction
Information Sciences: an International Journal
Automatic identification of application I/O signatures from noisy server-side traces
FAST'14 Proceedings of the 12th USENIX conference on File and Storage Technologies
Defending recommender systems by influence analysis
Information Retrieval
| Hi-index | 0.07 |
Nearest neighbor (NN) classifier with dynamic time warping (DTW) is considered to be an effective method for time series classification. The performance of NN-DTW is dependent on the DTW constraints because the NN classifier is sensitive to the used distance function. For time series classification, the global path constraint of DTW is learned for optimization of the alignment of time series by maximizing the nearest neighbor hypothesis margin. In addition, a reduction technique is combined with a search process to condense the prototypes. The approach is implemented and tested on UCR datasets. Experimental results show the effectiveness of the proposed method.