initial sd-vbs

initial sd-vbs

add sd-vbs

sd-vbs

1 files changed, 27 insertions, 0 deletions

diff --git a/SD-VBS/common/toolbox/toolbox_basic/textons/dist2.m b/SD-VBS/common/toolbox/toolbox_basic/textons/dist2.m
new file mode 100755
index 0000000..f2d93e1
--- /dev/null
+++ b/SD-VBS/common/toolbox/toolbox_basic/textons/dist2.m
@@ -0,0 +1,27 @@
+function n2 = dist2(x, c)
+%DIST2  Calculates squared distance between two sets of points.
+%
+%       Description
+%       D = DIST2(X, C) takes two matrices of vectors and calculates the
+%       squared Euclidean distance between them.  Both matrices must be of
+%       the same column dimension.  If X has M rows and N columns, and C has
+%       L rows and N columns, then the result has M rows and L columns.  The
+%       I, Jth entry is the  squared distance from the Ith row of X to the
+%       Jth row of C.
+%
+%       See also
+%       GMMACTIV, KMEANS, RBFFWD
+%
+
+%       Copyright (c) Christopher M Bishop, Ian T Nabney (1996, 1997)
+
+[ndata, dimx] = size(x);
+[ncentres, dimc] = size(c);
+if dimx ~= dimc
+        error('Data dimension does not match dimension of centres')
+end
+
+n2 = (ones(ncentres, 1) * sum((x.^2)', 1))' + ...
+                ones(ndata, 1) * sum((c.^2)',1) - ...
+                2.*(x*(c'));
+