| /hardware/intel/common/omx-components/videocodec/libvpx_internal/libvpx/vp9/encoder/ |
| vp9_variance.c | 21 void variance(const uint8_t *src_ptr, function
174 variance(src_ptr, source_stride, ref_ptr, recon_stride, 64, 32, &var, &avg);
231 variance(src_ptr, source_stride, ref_ptr, recon_stride, 32, 64, &var, &avg);
288 variance(src_ptr, source_stride, ref_ptr, recon_stride, 32, 16, &var, &avg);
345 variance(src_ptr, source_stride, ref_ptr, recon_stride, 16, 32, &var, &avg);
402 variance(src_ptr, source_stride, ref_ptr, recon_stride, 64, 64, &var, &avg);
415 variance(src_ptr, source_stride, ref_ptr, recon_stride, 32, 32, &var, &avg);
428 variance(src_ptr, source_stride, ref_ptr, recon_stride, 16, 16, &var, &avg);
441 variance(src_ptr, source_stride, ref_ptr, recon_stride, 8, 16, &var, &avg);
454 variance(src_ptr, source_stride, ref_ptr, recon_stride, 16, 8, &var, &avg)
[all...] |
| vp9_variance.h | 20 void variance(const uint8_t *src_ptr,
|
| /external/opencv/cvaux/src/ |
| cvbgfg_gaussmix.cpp | 79 icvMatchTest(...) assumes what all color channels component exhibit the same variance
120 //Rw is the learning rate for weight and Rg is leaning rate for mean and variance
126 //The list is maintained in sorted order using w/sqrt(variance) as a key
132 //v[n+1] = v[n] + Rg*((x[n+1] - u[n])*(x[n+1] - u[n])) - v[n]) variance
206 bg_model->g_point[n].g_values[0].variance[m] = var_init;
214 bg_model->g_point[n].g_values[k].variance[m] = var_init;
390 var_threshold += g_point->g_values[k].variance[m];
420 sum_d2 += (d*d) / (g_point->g_values[k].variance[m] * g_point->g_values[k].variance[m]);
452 g_point->g_values[k].variance[m] = g_point->g_values[k].variance[m]
[all...] |
| /external/pdfium/xfa/src/fxbarcode/oned/ |
| BC_OneDReader.cpp | 178 int32_t variance = counter > scaledPattern ? counter - scaledPattern
local
180 if (variance > maxIndividualVariance) {
184 totalVariance += variance;
|
| BC_OneDimReader.cpp | 206 int32_t variance = PatternMatchVariance(counters, &patterns[i * 4],
local
208 if (variance < bestVariance) {
209 bestVariance = variance;
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/descriptive/ |
| SummaryStatistics.java | 26 import org.apache.commons.math.stat.descriptive.moment.Variance;
45 * default implementation for the variance can be overridden by calling
67 /** SecondMoment is used to compute the mean and variance */
91 /** variance of values that have been added */
92 protected Variance variance = new Variance(); field in class:SummaryStatistics
115 /** Variance statistic implementation - can be reset by setter. */
116 private StorelessUnivariateStatistic varianceImpl = variance;
154 // If mean, variance or geomean have been overridden
[all...] |
| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/ |
| StatUtils.java | 25 import org.apache.commons.math.stat.descriptive.moment.Variance;
63 /** variance */
64 private static final Variance VARIANCE = new Variance();
301 * Returns the variance of the entries in the input array, or
304 * See {@link org.apache.commons.math.stat.descriptive.moment.Variance} for
312 * @return the variance of the values or Double.NaN if the array is empty
315 public static double variance(final double[] values) { method in class:StatUtils
316 return VARIANCE.evaluate(values)
339 public static double variance(final double[] values, final int begin, method in class:StatUtils
370 public static double variance(final double[] values, final double mean, method in class:StatUtils
397 public static double variance(final double[] values, final double mean) { method in class:StatUtils
[all...] |
| /external/chromium-trace/catapult/telemetry/telemetry/value/ |
| list_of_scalar_values.py | 13 def Variance(sample):
14 """ Compute the population variance.
32 return math.sqrt(Variance(sample))
42 list_of_variances: a list of numbers, the i-th element is the variance of
44 Variance(sample) to get the variance of the i-th sample.
53 variance = list_of_variances[i] if list_of_variances else Variance(l)
54 pooled_variance += k * variance
102 def variance(self) member in class:ListOfScalarValues
[all...] |
| /cts/common/util/src/com/android/compatibility/common/util/ |
| Stat.java | 70 double variance = sumOfSquares / (data.length - 1); local
71 double stddev = Math.sqrt(variance);
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/correlation/ |
| Covariance.java | 24 import org.apache.commons.math.stat.descriptive.moment.Variance;
162 Variance variance = new Variance(biasCorrected); local
170 outMatrix.setEntry(i, i, variance.evaluate(matrix.getColumn(i)));
|
| /external/chromium-trace/catapult/telemetry/telemetry/util/ |
| perf_tests_results_helper.py | 81 variance = sum(sqdiffs) / (len(values) - 1)
82 sd = math.sqrt(variance)
|
| /external/v8/build/util/lib/common/ |
| perf_tests_results_helper.py | 82 variance = sum(sqdiffs) / (len(values) - 1)
83 sd = math.sqrt(variance)
|
| /external/ImageMagick/MagickCore/ |
| statistic.h | 42 variance, member in struct:_ChannelStatistics
|
| /external/libgdx/extensions/gdx-bullet/jni/src/bullet/BulletCollision/Gimpact/ |
| btGImpactBvh.cpp | 74 btVector3 variance(btScalar(0.),btScalar(0.),btScalar(0.));
91 variance += diff2;
93 variance *= (btScalar(1.)/ ((btScalar)numIndices-1) );
95 return variance.maxAxis();
|
| btGImpactQuantizedBvh.cpp | 95 btVector3 variance(btScalar(0.),btScalar(0.),btScalar(0.));
112 variance += diff2;
114 variance *= (btScalar(1.)/ ((btScalar)numIndices-1) );
116 return variance.maxAxis();
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/clustering/ |
| KMeansPlusPlusClusterer.java | 27 import org.apache.commons.math.stat.descriptive.moment.Variance;
41 /** Split the cluster with largest distance variance. */
64 * algorithm iterations is to split the cluster with largest distance variance.
201 * Get a random point from the {@link Cluster} with the largest distance variance.
213 // compute the distance variance of the current cluster
215 final Variance stat = new Variance();
219 final double variance = stat.getResult(); local
221 // select the cluster with the largest variance
222 if (variance > maxVariance)
[all...] |
| /external/opencv3/modules/cudabgsegm/src/cuda/ |
| mog2.cu | 198 //update variance
201 //limit the variance
333 void mog2_caller(PtrStepSzb frame, PtrStepSzb fgmask, PtrStepSzb modesUsed, PtrStepSzf weight, PtrStepSzf variance, PtrStepSzb mean,
346 weight, variance, (PtrStepSz<WorkT>) mean,
354 weight, variance, (PtrStepSz<WorkT>) mean,
364 void mog2_gpu(PtrStepSzb frame, int cn, PtrStepSzb fgmask, PtrStepSzb modesUsed, PtrStepSzf weight, PtrStepSzf variance, PtrStepSzb mean,
367 typedef void (*func_t)(PtrStepSzb frame, PtrStepSzb fgmask, PtrStepSzb modesUsed, PtrStepSzf weight, PtrStepSzf variance, PtrStepSzb mean, float alphaT, float prune, bool detectShadows, cudaStream_t stream);
374 funcs[cn](frame, fgmask, modesUsed, weight, variance, mean, alphaT, prune, detectShadows, stream);
|
| /external/webrtc/webrtc/voice_engine/ |
| utility_unittest.cc | 98 float variance = 0; local
103 variance += ref_frame.data_[i] * ref_frame.data_[i];
107 snr = 10 * log10(variance / mse);
|
| /system/extras/tests/ext4/ |
| rand_emmc_perf.c | 59 long long variance = 0;; local
104 variance += x; /* Summation */
106 sdev = sqrt((double)variance/(double)stats_count);
|
| /art/runtime/base/ |
| histogram_test.cc | 57 double variance; local
62 variance = hist->Variance();
63 EXPECT_DOUBLE_EQ(64.25, variance);
|
| /external/ImageMagick/Magick++/lib/Magick++/ |
| Statistic.h | 175 // Standard deviation, sqrt(variance)
190 // Variance
191 double variance() const;
|
| /external/fio/tools/plot/ |
| fio2gnuplot | 253 variance = map(lambda x: (x - avg)**2, disk_perf[disk])
254 standard_deviation = math.sqrt(average(variance))
267 variance = map(lambda x: (x - avg)**2, global_disk_perf)
268 standard_deviation = math.sqrt(average(variance))
|
| /external/webrtc/webrtc/modules/audio_processing/intelligibility/ |
| intelligibility_enhancer.cc | 184 clear_variance_.variance(), clear_variance_.variance() + freqs_, 0.f);
197 FilterVariance(clear_variance_.variance(), filtered_clear_var_.get());
198 FilterVariance(noise_variance_.variance(), filtered_noise_var_.get());
209 } // Else experiencing variance underflow, so do nothing.
|
| intelligibility_utils.h | 47 // The result is an array of variances per position: the i-th variance
48 // is the variance of the stream of data on the i-th positions in the
91 const float* variance() const { return variance_.get(); } function in class:webrtc::intelligibility::VarianceArray
|
| /external/autotest/tko/perf_upload/ |
| perf_uploader.py | 87 variance = sum([(elem - mean) ** 2 for elem in data]) / (n - 1)
88 return round(mean, precision), round(math.sqrt(variance), precision)
|
