| /external/webrtc/webrtc/modules/audio_processing/vad/ |
| gmm.h | 18 // f(x) = w[0] * mixture[0] + w[1] * mixture[1] + ... +
19 // w[num_mixtures - 1] * mixture[num_mixtures - 1];
20 // Where a 'mixture' is a Gaussian density.
24 // where cov[n] is the covariance matrix of mixture n;
27 // where kth row is the mean of the kth mixture.
31 // matrix of the kth mixture.
|
| /ndk/tests/device/issue42891-boost-1_52/jni/boost/boost/numeric/conversion/detail/ |
| int_float_mixture.hpp | 33 // Selects the appropriate Int-Float Mixture Integral Constant for the combination T,S.
48 // for_int_float_mixture<Mixture,int_int,int_float,float_int,float_float>::type
50 // {Mixture} is one of the Integral Constants for Mixture, declared above.
|
| /external/opencv3/doc/py_tutorials/py_video/py_bg_subtraction/ |
| py_bg_subtraction.markdown | 32 It is a Gaussian Mixture-based Background/Foreground Segmentation Algorithm. It was introduced in
33 the paper "An improved adaptive background mixture model for real-time tracking with shadow
35 pixel by a mixture of K Gaussian distributions (K = 3 to 5). The weights of the mixture represent
70 It is also a Gaussian Mixture-based Background/Foreground Segmentation Algorithm. It is based on two
71 papers by Z.Zivkovic, "Improved adaptive Gausian mixture model for background subtraction" in 2004
|
| /external/chromium-trace/catapult/third_party/Paste/docs/ |
| index.txt | 41 Paste: a soft mixture of malleable consistency.
42 Paste: a tasty mixture to be spread on bread or crackers.
|
| /external/opencv3/modules/cudabgsegm/include/opencv2/ |
| cudabgsegm.hpp | 68 /** @brief Gaussian Mixture-based Background/Foreground Segmentation Algorithm.
77 - An example on gaussian mixture based background/foreground segmantation can be found at
103 /** @brief Creates mixture-of-gaussian background subtractor
118 /** @brief Gaussian Mixture-based Background/Foreground Segmentation Algorithm.
|
| /external/opencv3/samples/python2/ |
| kmeans.py | 42 cv2.imshow('gaussian mixture', img)
|
| gaussian_mix.py | 55 cv2.imshow('gaussian mixture', img)
|
| /prebuilts/go/darwin-x86/test/ |
| initializerr.go | 21 var a1 = S { 0, X: 1 } // ERROR "mixture|undefined"
|
| /prebuilts/go/linux-x86/test/ |
| initializerr.go | 21 var a1 = S { 0, X: 1 } // ERROR "mixture|undefined"
|
| /external/opencv/cvaux/src/ |
| cvhmm1d.cpp | 306 // Purpose: The function implements the mixture segmentation of the states of the embedded HMM
399 /* all vectors belong to one mixture */
411 /* for every vector number of mixture is assigned */
471 // Purpose: The function computes the mixture Gaussian pdf of a sample vector.
481 // weight - pointer to the wights of the Gaussian mixture
484 // Returns: the pdf of the sample vector given the specified Gaussian mixture.
700 /* 1. calculate logarithms of probabilities for each mixture */
730 /* skip the rest if there is a single mixture */
734 (i.e. probability for each mixture) */
740 /* 3a. first mixture - simply scale by weight *
[all...] |
| cvhmm.cpp | 362 // Purpose: The function implements the mixture segmentation of the states of the
467 /* all vectors belong to one mixture */
479 /* for every vector number of mixture is assigned */
538 // Purpose: The function computes the mixture Gaussian pdf of a sample vector.
548 // weight - pointer to the wights of the Gaussian mixture
551 // Returns: the pdf of the sample vector given the specified Gaussian mixture.
765 /* 1. calculate logarithms of probabilities for each mixture */
795 /* skip the rest if there is a single mixture */
799 (i.e. probability for each mixture) */
803 /* 3a. first mixture - simply scale by weight *
1406 int state, mixture; local
1437 int mixture = info->mix[j]; local
[all...] |
| /prebuilts/go/darwin-x86/src/hash/ |
| test_cases.txt | 30 The fugacity of a constituent in a mixture of gases at a given temperature is proportional to its mole fraction. Lewis-Randall Rule
|
| /prebuilts/go/linux-x86/src/hash/ |
| test_cases.txt | 30 The fugacity of a constituent in a mixture of gases at a given temperature is proportional to its mole fraction. Lewis-Randall Rule
|
| /external/opencv3/modules/cudabgsegm/src/ |
| mog.cpp | 185 // for each gaussian mixture of each pixel bg model we store
186 // the mixture sort key (w/sum_of_variances), the mixture weight (w),
|
| mog2.cpp | 69 const int defaultNMixtures = 5; // maximal number of Gaussians in mixture
232 // for each gaussian mixture of each pixel bg model we store ...
233 // the mixture weight (w),
|
| /libcore/ojluni/src/main/java/java/beans/ |
| PropertyChangeListenerProxy.java | 39 * then the array returned could be a mixture of {@code PropertyChangeListener}
|
| /external/opencv/cvaux/include/ |
| cvaux.h | 110 int* mix; /* number of mixture to which observation belong */
120 float* mu; /*mean vectors corresponding to each mixture*/
121 float* inv_var; /* square root of inversed variances corresp. to each mixture*/
123 float* weight; /*array of mixture weights. Summ of all weights in state is 1. */
197 /* Does mixture segmentation of the states of embedded HMM */
201 /* Function calculates means, variances, weights of every Gaussian mixture
223 Centers of clusters are given means of every mixture */
[all...] |
| /external/opencv3/modules/video/src/ |
| bgfg_gaussmix2.cpp | 43 /*//Implementation of the Gaussian mixture model background subtraction from:
45 //"Improved adaptive Gausian mixture model for background subtraction"
61 //"Recursive unsupervised learning of finite mixture models "
92 Interface of Gaussian mixture algorithm from:
94 "Improved adaptive Gausian mixture model for background subtraction"
108 static const int defaultNMixtures2 = 5; // maximal number of Gaussians in mixture
222 // for each gaussian mixture of each pixel bg model we store ...
223 // the mixture weight (w),
334 //! here it is the maximum allowed number of mixture components.
516 //"Recursive unsupervised learning of finite mixture models
[all...] |
| /external/deqp/doc/testspecs/GLES3/ |
| functional.instanced.txt | 31 - Mixture of the above
|
| /external/llvm/unittests/Analysis/ |
| MixedTBAATest.cpp | 66 // Run the TBAA eval pass on a mixture of path-aware and non-path-aware TBAA.
|
| /external/opencv3/modules/ml/include/opencv2/ |
| ml.hpp | [all...] |
| /external/opencv3/modules/video/include/opencv2/video/ |
| background_segm.hpp | 85 /** @brief Gaussian Mixture-based Background/Foreground Segmentation Algorithm.
87 The class implements the Gaussian mixture model background subtraction described in @cite Zivkovic2004
130 /** @brief Returns the variance threshold for the pixel-model match used for new mixture component generation
139 /** @brief Sets the variance threshold for the pixel-model match used for new mixture component generation
|
| /frameworks/support/v17/leanback/src/android/support/v17/leanback/ |
| package-info.java | 42 * Leanback contains a mixture of higher level building blocks such as Fragments in the
|
| /libcore/luni/src/test/java/libcore/java/util/ |
| LocaleInternalsTest.java | 104 // A mixture of attributes and keywords.
|
| /prebuilts/go/darwin-x86/src/hash/crc64/ |
| crc64_test.go | 47 {0xd402559dfe9b70c, "The fugacity of a constituent in a mixture of gases at a given temperature is proportional to its mole fraction. Lewis-Randall Rule"},
|
