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updated the docs

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extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%402253
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Davis King 2008-05-23 00:05:53 +00:00
parent dbff99837c
commit 2ae506deac
2 changed files with 5 additions and 5 deletions
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8
docs/docs/algorithms.xml
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@ -56,7 +56,7 @@
<item>decision_function</item> <item>decision_function</item>
<item>probabilistic_decision_function</item> <item>probabilistic_decision_function</item>
<item>krls</item> <item>krls</item>
<item>one_class</item> <item>kcentroid</item>
</sub> </sub>
</item> </item>
</section> </section>
@ -682,12 +682,12 @@
<!-- ************************************************************************* --> <!-- ************************************************************************* -->
<component> <component>
<name>one_class</name> <name>kcentroid</name>
<file>dlib/svm.h</file> <file>dlib/svm.h</file>
<spec_file link="true">dlib/svm/one_class_abstract.h</spec_file> <spec_file link="true">dlib/svm/kcentroid_abstract.h</spec_file>
<description> <description>
This is an implementation of an online algorithm for recursively estimating the This is an implementation of an online algorithm for recursively estimating the
center of mass of a sequence of training points. It uses the sparsification technique centroid of a sequence of training points. It uses the sparsification technique
described in the paper The Kernel Recursive Least Squares Algorithm by Yaakov Engel. described in the paper The Kernel Recursive Least Squares Algorithm by Yaakov Engel.
<p> <p>

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docs/docs/term_index.xml
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@ -375,7 +375,7 @@
<term link="algorithms.html#vector" name="vector"/> <term link="algorithms.html#vector" name="vector"/>
<term link="algorithms.html#point" name="point"/> <term link="algorithms.html#point" name="point"/>
<term link="algorithms.html#krls" name="krls"/> <term link="algorithms.html#krls" name="krls"/>
<term link="algorithms.html#one_class" name="one_class"/> <term link="algorithms.html#kcentroid" name="kcentroid"/>
<term link="dlib/svm/svm_abstract.h.html#maximum_nu" name="maximum_nu"/> <term link="dlib/svm/svm_abstract.h.html#maximum_nu" name="maximum_nu"/>