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Searched
full:weights
(Results
1 - 25
of
612
) sorted by null
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>>
/cts/tests/openglperf2/assets/fragment/
blur
19
float
weights
[11];
20
weights
[0] = 0.047748641153356156;
21
weights
[1] = 0.05979670798364139;
22
weights
[2] = 0.07123260215138659;
23
weights
[3] = 0.08071711293576822;
24
weights
[4] = 0.08700369673862933;
25
weights
[5] = 0.08920620580763855;
26
weights
[6] = 0.08700369673862933;
27
weights
[7] = 0.08071711293576822;
28
weights
[8] = 0.07123260215138659
[
all
...]
/external/opencv3/modules/java/src/
objdetect+Objdetect.java
22
// C++: void groupRectangles(vector_Rect& rectList, vector_int&
weights
, int groupThreshold, double eps = 0.2)
25
//javadoc: groupRectangles(rectList,
weights
, groupThreshold, eps)
26
public static void groupRectangles(MatOfRect rectList, MatOfInt
weights
, int groupThreshold, double eps)
29
Mat weights_mat =
weights
;
35
//javadoc: groupRectangles(rectList,
weights
, groupThreshold)
36
public static void groupRectangles(MatOfRect rectList, MatOfInt
weights
, int groupThreshold)
39
Mat weights_mat =
weights
;
48
// C++: void groupRectangles(vector_Rect& rectList, vector_int&
weights
, int groupThreshold, double eps = 0.2)
/external/apache-commons-math/src/main/java/org/apache/commons/math/stat/descriptive/
WeightedEvaluation.java
29
* using the supplied
weights
.
32
* @param
weights
array of
weights
35
double evaluate(double[] values, double[]
weights
);
39
* in the input array, using corresponding entries in the supplied
weights
array.
42
* @param
weights
array of
weights
47
double evaluate(double[] values, double[]
weights
, int begin, int length);
AbstractUnivariateStatistic.java
165
* and the
weights
are all non-negative, non-NaN, finite, and not all zero.
169
* positive length and the
weights
array contains legitimate values.</li>
172
* <li>the
weights
array is null</li>
173
* <li>the
weights
array does not have the same length as the values array</li>
174
* <li>the
weights
array contains one or more infinite values</li>
175
* <li>the
weights
array contains one or more NaN values</li>
176
* <li>the
weights
array contains negative values</li>
184
* @param
weights
the
weights
array
193
final double[]
weights
,
[
all
...]