| /frameworks/native/services/sensorservice/ |
| Fusion.cpp | 131 class Covariance {
136 Covariance() : mSumXX(0.0f), mSumX(0.0f), mN(0) { }
194 // process noise covariance matrix: G.Q.Gt, with
220 // initial covariance: Var{ x(t0) }
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| /external/clang/test/SemaObjC/ |
| arc.m | 160 - (id) init03; // covariance
161 - (id) init04; // covariance
179 - (Test8_super*) init30; // id exception to covariance
184 - (Test8_super*) init34; // covariance
187 - (Test8*) init40; // id exception to covariance
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| /external/eigen/doc/ |
| I13_FunctionsTakingEigenTypes.dox | 86 Let's assume one wants to write a function computing the covariance matrix of two input matrices where each row is an observation. The implementation of this function might look like this
150 One might think we are done now, right? This is not completely true because in order for our covariance function to be generically applicable, we want the follwing code to work
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| /external/chromium_org/third_party/protobuf/java/src/main/java/com/google/protobuf/ |
| AbstractMessageLite.java | 119 // Re-defined here for return type covariance.
|
| GeneratedMessageLite.java | 104 // Defined here for return type covariance.
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| /external/clang/test/SemaCXX/ |
| virtual-override.cpp | 218 // Defer checking for covariance if either return type is dependent.
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| /external/opencv/cv/src/ |
| cvkalman.cpp | 185 /* update error covariance matrices */
|
| /external/protobuf/java/src/main/java/com/google/protobuf/ |
| AbstractMessageLite.java | 111 // Re-defined here for return type covariance.
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| GeneratedMessageLite.java | 65 // Defined here for return type covariance.
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| /frameworks/base/core/java/android/gesture/ |
| GestureUtils.java | 347 * Calculates the variance-covariance matrix of a set of points.
350 * @return the variance-covariance matrix
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| /external/opencv/cvaux/src/ |
| cveigenobjects.cpp | 195 // Purpose: The function calculates a covariance matrix for a group of input objects
204 // covarMatrix - covariance matrix (output parameter; must be allocated
603 /* Calculation of covariance matrix */
[all...] |
| /external/opencv/ml/src/ |
| mlnbayes.cpp | 214 /* calculate avg, covariance matrix, c */
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| /external/aac/libSBRenc/src/ |
| invf_est.cpp | 412 the covariance method. THe ratio between the energy of the predicted
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| /external/ceres-solver/docs/source/ |
| version_history.rst | 19 #. Sparse and dense covariance estimation.
|
| modeling.rst | 707 where, :math:`\mu` is a vector and :math:`S` is a covariance matrix,
709 root of the inverse of the covariance, also known as the stiffness
712 the covariance matrix :math:`S` is rank deficient.
[all...] |
| /external/ceres-solver/include/ceres/ |
| problem.h | 426 friend class Covariance;
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| /external/llvm/lib/CodeGen/ |
| Analysis.cpp | 552 // We allow a certain amount of covariance here. For example it's permitted
|
| /external/srec/srec/clib/ |
| swimodel.c | 410 ** with diagonal covariance matrix.
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| /external/opencv/cxcore/include/ |
| cxcore.h | 800 (useful for calculating covariance matrix by parts) */
803 /* scale the covariance matrix coefficients by number of the vectors */
[all...] |
| /external/protobuf/src/google/protobuf/ |
| message.h | 197 // for return-type covariance.)
[all...] |
| /external/chromium_org/third_party/protobuf/src/google/protobuf/ |
| message.h | 178 // for return-type covariance.)
[all...] |
| /external/webrtc/src/modules/audio_processing/ns/ |
| ns_core.c | 586 // compute variance and covariance quantities
[all...] |
| /external/eigen/unsupported/test/ |
| NonLinearOptimization.cpp | 221 // check covariance
612 // check covariance
[all...] |
| /prebuilts/ndk/9/sources/cxx-stl/gnu-libstdc++/4.8/include/ext/ |
| random | 615 * vectors of dimension @f$k@f$ and @f$\Sigma@f$ is the covariance
766 * @brief Returns the compact form of the variance/covariance
[all...] |
| /external/opencv/cxcore/src/ |
| cxmatmul.cpp | [all...] |
