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saxeed from group com.github.olivergondza (version 1.7)
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jt-regionalize from group org.jaitools (version 1.6.0)
Identifies (sufficiently) uniform regions in the source image, allocates
each a unique integer ID, and generates an output image with these IDs
as pixel values
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Artifact jt-regionalize
Group org.jaitools
Version 1.6.0
Last update 02. July 2020
Organization not specified
URL Not specified
License not specified
Dependencies amount 1
Dependencies jt-utils,
There are maybe transitive dependencies!
Group org.jaitools
Version 1.6.0
Last update 02. July 2020
Organization not specified
URL Not specified
License not specified
Dependencies amount 1
Dependencies jt-utils,
There are maybe transitive dependencies!
jt-regionalize from group com.googlecode.jaitools (version 1.1.1)
Group: com.googlecode.jaitools Artifact: jt-regionalize
Show all versions Show documentation Show source
Show all versions Show documentation Show source
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regionalize from group com.googlecode.jaitools (version 1.0.1)
Group: com.googlecode.jaitools Artifact: regionalize
Show all versions Show documentation Show source
Show all versions Show documentation Show source
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kernelLogisticRegression from group nz.ac.waikato.cms.weka (version 1.0.0)
This package contains a classifier that can be used to train a two-class kernel logistic regression model with the kernel functions that are available in WEKA. It optimises the negative log-likelihood with a quadratic penalty. Both, BFGS and conjugate gradient descent, are available as optimisation methods, but the former is normally faster. It is possible to use multiple threads, but the speed-up is generally very marginal when used with BFGS optimisation. With conjugate gradient descent optimisation, greater speed-ups can be achieved when using multiple threads. With the default kernel, the dot product kernel, this method produces results that are close to identical to those obtained using standard logistic regression in WEKA, provided a sufficiently large value for the parameter determining the size of the quadratic penalty is used in both cases.
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Artifact kernelLogisticRegression
Group nz.ac.waikato.cms.weka
Version 1.0.0
Last update 26. June 2013
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/kernelLogisticRegression
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.0
Last update 26. June 2013
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/kernelLogisticRegression
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
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