ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Interval and dynamic time warping-based decision trees
Proceedings of the 2004 ACM symposium on Applied computing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Improving SVM accuracy by training on auxiliary data sources
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Extraction and classification of facemarks
Proceedings of the 10th international conference on Intelligent user interfaces
Feature Space Interpretation of SVMs with Indefinite Kernels
IEEE Transactions on Pattern Analysis and Machine Intelligence
Text classification with kernels on the multinomial manifold
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
The Genetic Kernel Support Vector Machine: Description and Evaluation
Artificial Intelligence Review
Directional features in online handwriting recognition
Pattern Recognition
Invariant kernel functions for pattern analysis and machine learning
Machine Learning
ACM SIGGRAPH 2007 courses
Text Entry Systems: Mobility, Accessibility, Universality
Text Entry Systems: Mobility, Accessibility, Universality
IEEE Transactions on Pattern Analysis and Machine Intelligence
A large margin approach for writer independent online handwriting classification
Pattern Recognition Letters
Robust matching and recognition using context-dependent kernels
Proceedings of the 25th international conference on Machine learning
Learning a Kernel Matrix for Time Series Data from DTW Distances
Neural Information Processing
Unsupervised order-preserving regression kernel for sequence analysis
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Parametric kernels for sequence data analysis
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
A visual approach to sketched symbol recognition
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Handwriting Recognition Algorithm in Different Languages: Survey
IVIC '09 Proceedings of the 1st International Visual Informatics Conference on Visual Informatics: Bridging Research and Practice
A multi-touchpad based human computer gesture interface for people with disabilities
Telehealth/AT '08 Proceedings of the IASTED International Conference on Telehealth/Assistive Technologies
Predicting system collapse: two theoretical models
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Support vector machines of interval-based features for time series classification
Knowledge-Based Systems
ERCIM'06 Proceedings of the 9th conference on User interfaces for all
An ACO-based algorithm for parameter optimization of support vector machines
Expert Systems with Applications: An International Journal
A kernel-based approach to document retrieval
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Online signature verification with support vector machines based on LCSS kernel functions
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
On-line handwriting recognition with parallelized machine learning algorithms
KI'10 Proceedings of the 33rd annual German conference on Advances in artificial intelligence
Time series gene expression data classification via L1-norm temporal SVM
PRIB'10 Proceedings of the 5th IAPR international conference on Pattern recognition in bioinformatics
An Iterative Method for Deciding SVM and Single Layer Neural Network Structures
Neural Processing Letters
An evolutionary approach to automatic kernel construction
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
Online signature verification with new time series kernels for support vector machines
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Embedding time series data for classification
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
Bootstrapping personal gesture shortcuts with the wisdom of the crowd and handwriting recognition
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Predicting protein-protein interactions by a supervised learning classifier
Computational Biology and Chemistry
Invariant time-series classification
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Handwriting beautification using token means
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Explicit context-aware kernel map learning for image annotation
ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems
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In this contribution we describe a novel classification approach for on-line handwriting recognition. The technique combines dynamic time warping (DTW) and support vector machines (SVMs) by establishing a new SVM kernel. We call this kernel Gaussian DTW (GDTW) kernel. This kernel approach has a main advantage over common HMM techniques. It does not assume a model for the generative class conditional densities. Instead, it directlyaddresses the problem of discrimination by creating class boundaries and thus is less sensitive to modeling assumptions. By incorporating DTW in the kernel function, general classification problems with variable-sized sequential data can be handled. In this respect the proposed method can be straightforwardly applied to all classification problems, where DTW gives a reasonable distance measure, e.g. speech recognition or genome processing. We show experiments with this kernel approach on the UNIPEN handwriting data, achieving results comparable to an HMM-based technique.