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钟尚武
dlib
Commits
3ecacdcc
Commit
3ecacdcc
authored
Dec 11, 2011
by
Davis King
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3ecacdcc
...
@@ -134,6 +134,9 @@
...
@@ -134,6 +134,9 @@
<li>
A
<a
href=
"ml.html#svm_multiclass_linear_trainer"
>
Multiclass SVM
</a></li>
<li>
A
<a
href=
"ml.html#svm_multiclass_linear_trainer"
>
Multiclass SVM
</a></li>
<li>
A tool for solving the optimization problem associated with
<li>
A tool for solving the optimization problem associated with
<a
href=
"ml.html#structural_svm_problem"
>
structural support vector machines
</a>
.
</li>
<a
href=
"ml.html#structural_svm_problem"
>
structural support vector machines
</a>
.
</li>
<li>
Structural SVM tools for
<a
href=
"ml.html#structural_sequence_labeling_trainer"
>
sequence labeling
</a>
</li>
<li>
Structural SVM tools for solving
<a
href=
"ml.html#structural_assignment_trainer"
>
assignment problems
</a>
</li>
<li>
Structural SVM tools for
<a
href=
"ml.html#structural_object_detection_trainer"
>
object detection
</a>
in images
</li>
<li>
An online
<a
href=
"ml.html#krls"
>
kernel RLS regression
</a>
algorithm
</li>
<li>
An online
<a
href=
"ml.html#krls"
>
kernel RLS regression
</a>
algorithm
</li>
<li>
An online
<a
href=
"ml.html#svm_pegasos"
>
SVM classification
</a>
algorithm
</li>
<li>
An online
<a
href=
"ml.html#svm_pegasos"
>
SVM classification
</a>
algorithm
</li>
<li>
An online kernelized
<a
href=
"ml.html#kcentroid"
>
centroid estimator
</a>
/novelty detector
</li>
and
<li>
An online kernelized
<a
href=
"ml.html#kcentroid"
>
centroid estimator
</a>
/novelty detector
</li>
and
...
@@ -141,7 +144,6 @@
...
@@ -141,7 +144,6 @@
<li>
A kernelized
<a
href=
"ml.html#kkmeans"
>
k-means
</a>
clustering algorithm
</li>
<li>
A kernelized
<a
href=
"ml.html#kkmeans"
>
k-means
</a>
clustering algorithm
</li>
<li><a
href=
"ml.html#rbf_network_trainer"
>
Radial Basis Function Networks
</a></li>
<li><a
href=
"ml.html#rbf_network_trainer"
>
Radial Basis Function Networks
</a></li>
<li><a
href=
"ml.html#mlp"
>
Multi layer perceptrons
</a>
</li>
<li><a
href=
"ml.html#mlp"
>
Multi layer perceptrons
</a>
</li>
<li>
Tools for
<a
href=
"ml.html#sequence_labeler"
>
sequence labeling
</a>
</li>
</ul>
</ul>
</li>
</li>
...
...
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