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alignment from group de.cit-ec.tcs (version 3.1.1)

This Java Toolbox provides several algorithms to align two input sequences, where your sequential data is allowed to be multimodal and multidimensional. We also provide additional tools to inspect the alignment results in more detail or even calculate derivatives of the alignment w.r.t. metric parameters such that you can optimize the alignment parameters according to some cost function. It is written in Java 1.7. and is also compatible with Matlab (version 2013b or higher).

Group: de.cit-ec.tcs Artifact: alignment
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alignment from group de.cit-ec.tcs (version 3.1.0)

This Java Toolbox provides several algorithms to align two input sequences, where your sequential data is allowed to be multimodal and multidimensional. We also provide additional tools to inspect the alignment results in more detail or even calculate derivatives of the alignment w.r.t. metric parameters such that you can optimize the alignment parameters according to some cost function. It is written in Java 1.7. and is also compatible with Matlab (version 2013b or higher).

Group: de.cit-ec.tcs Artifact: alignment
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alignment from group de.cit-ec.tcs (version 3.0.1)

This Java Toolbox provides several algorithms to align two input sequences, where your sequential data is allowed to be multimodal and multidimensional. We also provide additional tools to inspect the alignment results in more detail or even calculate derivatives of the alignment w.r.t. metric parameters such that you can optimize the alignment parameters according to some cost function. It is written in Java 1.7. and is also compatible with Matlab (version 2013b or higher).

Group: de.cit-ec.tcs Artifact: alignment
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alignment from group de.cit-ec.tcs (version 3.0.0)

This Java Toolbox provides several algorithms to align two input sequences, where your sequential data is allowed to be multimodal and multidimensional. We also provide additional tools to inspect the alignment results in more detail or even calculate derivatives of the alignment w.r.t. metric parameters such that you can optimize the alignment parameters according to some cost function. It is written in Java 1.7. and is also compatible with Matlab (version 2013b or higher).

Group: de.cit-ec.tcs Artifact: alignment
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alignment from group de.cit-ec.tcs (version 2.1.2)

This Java Toolbox provides several algorithms to align two input sequences, where your sequential data is allowed to be multimodal and multidimensional. We also provide additional tools to inspect the alignment results in more detail or even calculate derivatives of the alignment w.r.t. metric parameters such that you can optimize the alignment parameters according to some cost function. It is written in Java 1.7. and is also compatible with Matlab (version 2013b or higher).

Group: de.cit-ec.tcs Artifact: alignment
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alignment from group de.cit-ec.tcs (version 2.1.1)

This Java Toolbox provides several algorithms to align two input sequences, where your sequential data is allowed to be multimodal and multidimensional. We also provide additional tools to inspect the alignment results in more detail or even calculate derivatives of the alignment w.r.t. metric parameters such that you can optimize the alignment parameters according to some cost function. It is written in Java 1.7. and is also compatible with Matlab (version 2013b or higher).

Group: de.cit-ec.tcs Artifact: alignment
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Artifact alignment
Group de.cit-ec.tcs
Version 2.1.1
Last update 16. July 2015
Tags: allowed alignment detail provide calculate multimodal data higher where derivatives according function version sequential tools more results compatible written matlab parameters algorithms with toolbox multidimensional such 2013b align your sequences provides cost optimize that input additional metric several java even also this some inspect
Organization not specified
URL http://openresearch.cit-ec.de/projects/tcs
License The GNU Affero General Public License, Version 3
Dependencies amount 6
Dependencies comparators-lib, algorithms-lib, adp, visualization, wrappers, learning,
There are maybe transitive dependencies!



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