#include <iostream>#include <fstream>#include <cstdio>#include <cassert>#include <cmath>#include <liatools.h>#include <DoubleSquareMatrix.h>#include <RealVector.h>#include "FileInfo.h"#include "UnsupervisedTools.h"
Go to the source code of this file.
Classes | |
| class | WindowLLR |
| class | Norm |
Defines | |
| #define | ALIZE_UnsupervisedTools_cpp |
Functions | |
| void | accumulateStatLK (StatServer &ss, FeatureServer &fs, MixtureStat &acc, unsigned long idxBeginFrame, unsigned long nbFrames, Config &config) |
| void | accumulateStatLK (StatServer &ss, FeatureServer &fs, MixtureStat &acc, Seg *seg, Config &config) |
| void | accumulateStatLK (StatServer &ss, FeatureServer &fs, MixtureStat &acc, SegCluster &selectedSegments, Config &config) |
| void | adaptModel (Config &config, StatServer &ss, MixtureServer &ms, ObjectRefVector &FeatServ, ObjectRefVector &ClusterSeg, MixtureGD &aprioriModel, MixtureGD &clientMixture, DoubleVector &decision) |
| void | modelBasedadaptModelEM (Config &config, StatServer &ss, MixtureServer &ms, FeatureServer &fs, SegCluster &selectedSegments, FeatureServer &fsTests, SegCluster &selectedSegmentsTests, MixtureGD &aprioriModel, MixtureGD &clientMixture, MixtureGD &initModel) |
| void | modelBasedadaptModelEM (Config &config, StatServer &ss, MixtureServer &ms, FeatureServer &fs, SegCluster &selectedSegments, MixtureGD &aprioriModel, MixtureGD &clientMixture, MixtureGD &initModel) |
| void | adaptModelMAP (Config &config, StatServer &ss, MixtureServer &ms, MixtureGD &aprioriModel, MixtureGD &clientMixture, MAPCfg &mapCfg, unsigned long &frameCount) |
| void | adaptModelMAP (Config &config, StatServer &ss, MixtureServer &ms, MixtureGD &aprioriModel, MixtureGD &clientMixture, unsigned long &frameCount) |
| void | adaptModelEM (Config &config, StatServer &ss, MixtureServer &ms, FeatureServer &fs, SegCluster &selectedSegments, MixtureGD &aprioriModel, MixtureGD &clientMixture, MAPCfg &mapCfg) |
| void | adaptModelEM (Config &config, StatServer &ss, MixtureServer &ms, FeatureServer &fs, SegCluster &selectedSegments, MixtureGD &aprioriModel, MixtureGD &clientMixture) |
| void | adaptModelEM (Config &config, StatServer &ss, MixtureServer &ms, FeatureServer &fs, SegCluster &selectedSegments, FeatureServer &fs2, SegCluster &selectedSegments2, MixtureGD &aprioriModel, MixtureGD &clientMixture, MAPCfg &mapCfg) |
| void | adaptModelEM (Config &config, StatServer &ss, MixtureServer &ms, FeatureServer &fs, SegCluster &selectedSegments, FeatureServer &fs2, SegCluster &selectedSegments2, MixtureGD &aprioriModel, MixtureGD &clientMixture) |
| double | computeLLR (StatServer &ss, FeatureServer &fsTests, MixtureGD &world, MixtureGD &clientMixture, SegCluster &selectedSegmentsTests) |
| double | computeLLR (Config &config, StatServer &ss, FeatureServer &fsTests, MixtureGD &world, MixtureGD &clientMixture, SegCluster &selectedSegmentsTests, String &idTest) |
| double | computeFastLLR (StatServer &ss, FeatureServer &fsTests, MixtureGD &world, MixtureGD &clientMixture, SegCluster &selectedSegmentsTests, String &idTest, Config &config) |
| double | computeLLRGD (Config &config, MixtureGD &clientMixture, MixtureGD &world, MixtureGD &dataTest) |
| void | expandLLR (DoubleVector &decision, Config &configTest) |
| void | WMAP (DoubleVector &decision, Config &configTest) |
| String | getFullFileName (String &id, Config &c) |
| String | getFullMixtureName (String &id, Config &c) |
| bool | FileExists (String &fullFileName) |
| void | WMAPGMMFixedPriors (DoubleVector &decision, Config &configTest, MixtureGD &tar, MixtureGD &non, StatServer &ss) |
| void | WMAPGMM (DoubleVector &decision, Config &configTest, MixtureGD &tar, MixtureGD &non, StatServer &ss) |
| void | computePriors (DoubleVector &decision, DoubleVector &priorImp, DoubleVector &priorTar, Config &configTest) |
| void | computeMAPmodelFromEMones (Config &config, StatServer &ss, MixtureServer &ms, DoubleVector &nbFramesSelected, MixtureGD &aprioriModel, MixtureGD &clientMixture, MixtureGD &aux, MixtureGD &tmp, DoubleVector &decision, XLine &testsToCompute) |
| double | SegClusterFrame (SegCluster &SegC) |
| void | loadTnormParam (String &inputTestListFileName, String &testFileTnorm, ObjectRefVector &stockTnorm, Config &config) |
| void | normalizeScore (String &test, double &decision, ObjectRefVector &stockNorm) |
| void | normalizeScore (String &test, double &decision, ObjectRefVector &stockNorm, double &shift) |
| void | computeAndStoreZnormParam (StatServer &ss, String &inputImpListFileName, String &idclient, MixtureGD &clientMixture, ObjectRefVector &stockZnorm, MixtureGD &world, Config &config, bool &ztnorm, ObjectRefVector &stockTnorm) |
| void | resetWeights (DoubleVector &decision) |
| void | Oracle (String &idTar, String &idTest, double &score, Config &config, MixtureGD &tar, MixtureGD &non, StatServer &ss) |
| void | crossValid (Config &configTest, StatServer &ss, MixtureServer &ms, FeatureServer &fs, SegCluster &selectedSegments, MixtureGD &aprioriModel, MixtureGD &bestModel, SegCluster &selectedSegmentsBagged, String &idTest) |
| double | searchLLRFromResFile (String &idTar, String &test, String &inputResFilename, Config &config) |
| unsigned long | adaptModelEMweightedFrames (String &labelSelectedFrames, XLine &featureFileName, StatServer &ss, MixtureGD &world, MixtureGD &tar, MixtureGD &non, MixtureGD &MixtureforLLR, MixtureGD &MixtureEMOutput, Config &config, FeatureServer &fs, String &fullFileName, String &idTest) |
| String | selectNearestTarModel (String &TARListFilename, String &fullFileName, Config &config, StatServer &ss, FeatureServer &fs, MixtureGD &world, SegCluster &selectedSegments, MixtureServer &ms) |
| void | computeLLRmatrix (DoubleMatrix &LLR, XLine &models, XList &features, Config &config, StatServer &ss, MixtureGD &world, MixtureServer &ms, String &labelSelectedFrames) |
| void | addLineInXList (XLine &line, XList &list) |
| void | fuseMAP (Config &config, StatServer &ss, MixtureServer &ms, MixtureGD &aprioriModel, MixtureGD &clientMixture, MixtureGD &aux, MixtureGD &tmp, DoubleVector &decision, XLine &testsToCompute) |
| void | fuseMAPMeans (const MixtureGD &model1, double &w1, const MixtureGD &model2, double &w2, MixtureGD &result) |
| double | computeWeightedLLR (Config &config, StatServer &ss, FeatureServer &fsTests, MixtureServer &ms, MixtureGD &aprioriModel, SegCluster &selectedSegmentsTests, MixtureGD &aux, DoubleVector &decision, XLine &testsToCompute, String &idTest, String &fullFileName) |
| void | copyCluster (SegCluster &source, SegCluster &dest) |
| int | findClusterInRefvector (ObjectRefVector &SegServ, String &id) |
| void | learnEMimpostorModels (Config &config, DoubleVector &NbFramesSelectedImp, MixtureServer &ms, StatServer &ss, MixtureGD &world) |
| void | learnMAPimpostorModels (Config &config, DoubleVector &NbFramesSelectedImp, MixtureServer &ms, StatServer &ss, MixtureGD &world) |
| double | computeAdaptedTnorm (Config &configTest, MixtureServer &ms, StatServer &ss, MixtureGD &world, MixtureGD &auxMixture, MixtureGD &tmpMixture, double &nonorm_score, int &countTests, DoubleVector &decision, DoubleVector &NbFramesSelected, XLine &testsToCompute, DoubleVector &NbFramesSelectedImp, FeatureServer &fsTests, SegCluster &selectedSegmentsTests, String &idTest) |
| double | findNearestLLRInMatrix (Matrix< double > &Mat, unsigned long &index, double &LLR) |
| void | assessAdaptation (StatServer &ss, MixtureGD &adaptedMixture, SegCluster &selectedSegments, Config &configTest, FeatureServer &fs, MixtureGD &world, DoubleVector &tmp, String &fullFileNameTrain, int countTests, double &tarScore) |
| void | divDetect (double &LLRbaseline, double &LLRadapted, double &thresBaseline, double &thresAdapted) |
Define Documentation
| #define ALIZE_UnsupervisedTools_cpp |
Definition at line 56 of file UnsupervisedTools.cpp.
Function Documentation
| void accumulateStatLK | ( | StatServer & | ss, |
| FeatureServer & | fs, | ||
| MixtureStat & | acc, | ||
| unsigned long | idxBeginFrame, | ||
| unsigned long | nbFrames, | ||
| Config & | config | ||
| ) |
Definition at line 180 of file UnsupervisedTools.cpp.
Referenced by accumulateStatLK().
| void accumulateStatLK | ( | StatServer & | ss, |
| FeatureServer & | fs, | ||
| MixtureStat & | acc, | ||
| Seg * | seg, | ||
| Config & | config | ||
| ) |
Definition at line 195 of file UnsupervisedTools.cpp.
References accumulateStatLK().
| void accumulateStatLK | ( | StatServer & | ss, |
| FeatureServer & | fs, | ||
| MixtureStat & | acc, | ||
| SegCluster & | selectedSegments, | ||
| Config & | config | ||
| ) |
Definition at line 203 of file UnsupervisedTools.cpp.
References accumulateStatLK().
| void adaptModel | ( | Config & | config, |
| StatServer & | ss, | ||
| MixtureServer & | ms, | ||
| ObjectRefVector & | FeatServ, | ||
| ObjectRefVector & | ClusterSeg, | ||
| MixtureGD & | aprioriModel, | ||
| MixtureGD & | clientMixture, | ||
| DoubleVector & | decision | ||
| ) |
Definition at line 219 of file UnsupervisedTools.cpp.
References accumulateStatEM(), baggedSegments(), computeMAP(), debug, MAPCfg::getBaggedFrameProbability(), MAPCfg::getNbTrainIt(), MAPCfg::getNormalizeModel(), meanLikelihood(), normalizeMixture(), MAPCfg::showConfig(), verbose, and verboseLevel.
| void adaptModelEM | ( | Config & | config, |
| StatServer & | ss, | ||
| MixtureServer & | ms, | ||
| FeatureServer & | fs, | ||
| SegCluster & | selectedSegments, | ||
| MixtureGD & | aprioriModel, | ||
| MixtureGD & | clientMixture, | ||
| MAPCfg & | mapCfg | ||
| ) |
Definition at line 574 of file UnsupervisedTools.cpp.
References accumulateStatEM(), baggedSegments(), MAPCfg::getBaggedFrameProbability(), MAPCfg::getNbTrainIt(), meanLikelihood(), verbose, and verboseLevel.
| void adaptModelEM | ( | Config & | config, |
| StatServer & | ss, | ||
| MixtureServer & | ms, | ||
| FeatureServer & | fs, | ||
| SegCluster & | selectedSegments, | ||
| MixtureGD & | aprioriModel, | ||
| MixtureGD & | clientMixture | ||
| ) |
Definition at line 622 of file UnsupervisedTools.cpp.
References adaptModelEM().
Referenced by adaptModelEM(), learnEMimpostorModels(), and TrainTargetAdapt().
| void adaptModelEM | ( | Config & | config, |
| StatServer & | ss, | ||
| MixtureServer & | ms, | ||
| FeatureServer & | fs, | ||
| SegCluster & | selectedSegments, | ||
| FeatureServer & | fs2, | ||
| SegCluster & | selectedSegments2, | ||
| MixtureGD & | aprioriModel, | ||
| MixtureGD & | clientMixture, | ||
| MAPCfg & | mapCfg | ||
| ) |
Definition at line 632 of file UnsupervisedTools.cpp.
References accumulateStatEM(), baggedSegments(), MAPCfg::getBaggedFrameProbability(), MAPCfg::getNbTrainIt(), meanLikelihood(), verbose, and verboseLevel.
| void adaptModelEM | ( | Config & | config, |
| StatServer & | ss, | ||
| MixtureServer & | ms, | ||
| FeatureServer & | fs, | ||
| SegCluster & | selectedSegments, | ||
| FeatureServer & | fs2, | ||
| SegCluster & | selectedSegments2, | ||
| MixtureGD & | aprioriModel, | ||
| MixtureGD & | clientMixture | ||
| ) |
Definition at line 692 of file UnsupervisedTools.cpp.
References adaptModelEM().
| unsigned long adaptModelEMweightedFrames | ( | String & | labelSelectedFrames, |
| XLine & | featureFileName, | ||
| StatServer & | ss, | ||
| MixtureGD & | world, | ||
| MixtureGD & | tar, | ||
| MixtureGD & | non, | ||
| MixtureGD & | MixtureforLLR, | ||
| MixtureGD & | MixtureEMOutput, | ||
| Config & | config, | ||
| FeatureServer & | fs, | ||
| String & | fullFileName, | ||
| String & | idTest | ||
| ) |
Definition at line 1562 of file UnsupervisedTools.cpp.
References WindowLLR::accLLR(), WindowLLR::dec(), FileExists(), WindowLLR::getLLR(), initializeClusters(), WindowLLR::isEnd(), WindowLLR::isSet(), alize::FileInfo::loadTopInfo(), WindowLLR::setNbClient(), WindowLLR::showConfig(), verbose, verboseLevel, verifyClusterFile(), WMAPGMMFixedPriors(), and alize::FileInfo::writeTopInfo().
| void adaptModelMAP | ( | Config & | config, |
| StatServer & | ss, | ||
| MixtureServer & | ms, | ||
| MixtureGD & | aprioriModel, | ||
| MixtureGD & | clientMixture, | ||
| unsigned long & | frameCount | ||
| ) |
Definition at line 561 of file UnsupervisedTools.cpp.
References adaptModelMAP().
Referenced by adaptModelMAP(), and computeMAPmodelFromEMones().
| void adaptModelMAP | ( | Config & | config, |
| StatServer & | ss, | ||
| MixtureServer & | ms, | ||
| MixtureGD & | aprioriModel, | ||
| MixtureGD & | clientMixture, | ||
| MAPCfg & | mapCfg, | ||
| unsigned long & | frameCount | ||
| ) |
Definition at line 540 of file UnsupervisedTools.cpp.
References computeMAP(), debug, MAPCfg::getNbTrainIt(), MAPCfg::getNormalizeModel(), and normalizeMixture().
| void addLineInXList | ( | XLine & | line, |
| XList & | list | ||
| ) |
Definition at line 1733 of file UnsupervisedTools.cpp.
| void assessAdaptation | ( | StatServer & | ss, |
| MixtureGD & | adaptedMixture, | ||
| SegCluster & | selectedSegments, | ||
| Config & | configTest, | ||
| FeatureServer & | fs, | ||
| MixtureGD & | world, | ||
| DoubleVector & | tmp, | ||
| String & | fullFileNameTrain, | ||
| int | countTests, | ||
| double & | tarScore | ||
| ) |
Definition at line 2033 of file UnsupervisedTools.cpp.
References computeFastLLR().
Referenced by TrainTargetAdapt().
| double computeAdaptedTnorm | ( | Config & | configTest, |
| MixtureServer & | ms, | ||
| StatServer & | ss, | ||
| MixtureGD & | world, | ||
| MixtureGD & | auxMixture, | ||
| MixtureGD & | tmpMixture, | ||
| double & | nonorm_score, | ||
| int & | countTests, | ||
| DoubleVector & | decision, | ||
| DoubleVector & | NbFramesSelected, | ||
| XLine & | testsToCompute, | ||
| DoubleVector & | NbFramesSelectedImp, | ||
| FeatureServer & | fsTests, | ||
| SegCluster & | selectedSegmentsTests, | ||
| String & | idTest | ||
| ) |
Definition at line 1963 of file UnsupervisedTools.cpp.
References computeFastLLR(), computeMAPmodelFromEMones(), and line.
| void computeAndStoreZnormParam | ( | StatServer & | ss, |
| String & | inputImpListFileName, | ||
| String & | idclient, | ||
| MixtureGD & | clientMixture, | ||
| ObjectRefVector & | stockZnorm, | ||
| MixtureGD & | world, | ||
| Config & | config, | ||
| bool & | ztnorm, | ||
| ObjectRefVector & | stockTnorm | ||
| ) |
Definition at line 1303 of file UnsupervisedTools.cpp.
References computeFastLLR(), computeLLR(), FileExists(), getFullFileName(), Norm::idTest, initializeClusters(), line, Norm::mu, normalizeScore(), Norm::sigma, verbose, verboseLevel, and verifyClusterFile().
Referenced by TrainTargetAdapt().
| double computeFastLLR | ( | StatServer & | ss, |
| FeatureServer & | fsTests, | ||
| MixtureGD & | world, | ||
| MixtureGD & | clientMixture, | ||
| SegCluster & | selectedSegmentsTests, | ||
| String & | idTest, | ||
| Config & | config | ||
| ) |
Definition at line 812 of file UnsupervisedTools.cpp.
References alize::FileInfo::close(), debug, alize::FileInfo::loadTopInfo(), verbose, and verboseLevel.
Referenced by assessAdaptation(), computeAdaptedTnorm(), computeAndStoreZnormParam(), computeWeightedLLR(), selectNearestTarModel(), and TrainTargetAdapt().
| double computeLLR | ( | StatServer & | ss, |
| FeatureServer & | fsTests, | ||
| MixtureGD & | world, | ||
| MixtureGD & | clientMixture, | ||
| SegCluster & | selectedSegmentsTests | ||
| ) |
Definition at line 708 of file UnsupervisedTools.cpp.
References verbose, and verboseLevel.
Referenced by computeAndStoreZnormParam(), computeLLRmatrix(), crossValid(), selectNearestTarModel(), and TrainTargetAdapt().
| double computeLLR | ( | Config & | config, |
| StatServer & | ss, | ||
| FeatureServer & | fsTests, | ||
| MixtureGD & | world, | ||
| MixtureGD & | clientMixture, | ||
| SegCluster & | selectedSegmentsTests, | ||
| String & | idTest | ||
| ) |
Definition at line 748 of file UnsupervisedTools.cpp.
References alize::FileInfo::close(), verbose, verboseLevel, and alize::FileInfo::writeTopInfo().
| double computeLLRGD | ( | Config & | config, |
| MixtureGD & | clientMixture, | ||
| MixtureGD & | world, | ||
| MixtureGD & | dataTest | ||
| ) |
Definition at line 852 of file UnsupervisedTools.cpp.
References likelihoodGD(), verbose, and verboseLevel.
| void computeLLRmatrix | ( | DoubleMatrix & | LLR, |
| XLine & | models, | ||
| XList & | features, | ||
| Config & | config, | ||
| StatServer & | ss, | ||
| MixtureGD & | world, | ||
| MixtureServer & | ms, | ||
| String & | labelSelectedFrames | ||
| ) |
Definition at line 1685 of file UnsupervisedTools.cpp.
References computeLLR(), debug, initializeClusters(), line, and verifyClusterFile().
| void computeMAPmodelFromEMones | ( | Config & | config, |
| StatServer & | ss, | ||
| MixtureServer & | ms, | ||
| DoubleVector & | nbFramesSelected, | ||
| MixtureGD & | aprioriModel, | ||
| MixtureGD & | clientMixture, | ||
| MixtureGD & | aux, | ||
| MixtureGD & | tmp, | ||
| DoubleVector & | decision, | ||
| XLine & | testsToCompute | ||
| ) |
Definition at line 1130 of file UnsupervisedTools.cpp.
References adaptModelMAP(), debug, fuseModels(), verbose, and verboseLevel.
Referenced by computeAdaptedTnorm(), and TrainTargetAdapt().
| void computePriors | ( | DoubleVector & | decision, |
| DoubleVector & | priorImp, | ||
| DoubleVector & | priorTar, | ||
| Config & | configTest | ||
| ) |
Definition at line 1089 of file UnsupervisedTools.cpp.
References verbose, and verboseLevel.
Referenced by WMAPGMM().
| double computeWeightedLLR | ( | Config & | config, |
| StatServer & | ss, | ||
| FeatureServer & | fsTests, | ||
| MixtureServer & | ms, | ||
| MixtureGD & | aprioriModel, | ||
| SegCluster & | selectedSegmentsTests, | ||
| MixtureGD & | aux, | ||
| DoubleVector & | decision, | ||
| XLine & | testsToCompute, | ||
| String & | idTest, | ||
| String & | fullFileName | ||
| ) |
Definition at line 1804 of file UnsupervisedTools.cpp.
References computeFastLLR(), debug, verbose, and verboseLevel.
| void copyCluster | ( | SegCluster & | source, |
| SegCluster & | dest | ||
| ) |
Definition at line 1831 of file UnsupervisedTools.cpp.
Referenced by crossValid(), and TrainTargetAdapt().
| void crossValid | ( | Config & | configTest, |
| StatServer & | ss, | ||
| MixtureServer & | ms, | ||
| FeatureServer & | fs, | ||
| SegCluster & | selectedSegments, | ||
| MixtureGD & | aprioriModel, | ||
| MixtureGD & | bestModel, | ||
| SegCluster & | selectedSegmentsBagged, | ||
| String & | idTest | ||
| ) |
Definition at line 1459 of file UnsupervisedTools.cpp.
References accumulateStatEM(), baggedSegments(), computeLLR(), computeMAP(), copyCluster(), debug, MAPCfg::getNormalizeModel(), meanLikelihood(), normalizeMixture(), verbose, and verboseLevel.
Referenced by TrainTargetAdapt().
| void divDetect | ( | double & | LLRbaseline, |
| double & | LLRadapted, | ||
| double & | thresBaseline, | ||
| double & | thresAdapted | ||
| ) |
Definition at line 2081 of file UnsupervisedTools.cpp.
| void expandLLR | ( | DoubleVector & | decision, |
| Config & | configTest | ||
| ) |
Definition at line 874 of file UnsupervisedTools.cpp.
Referenced by TrainTargetAdapt().
| bool FileExists | ( | String & | fullFileName ) |
Definition at line 968 of file UnsupervisedTools.cpp.
Referenced by adaptModelEMweightedFrames(), computeAndStoreZnormParam(), learnEMimpostorModels(), learnMAPimpostorModels(), selectNearestTarModel(), and TrainTargetAdapt().
| int findClusterInRefvector | ( | ObjectRefVector & | SegServ, |
| String & | id | ||
| ) |
Definition at line 1839 of file UnsupervisedTools.cpp.
| double findNearestLLRInMatrix | ( | Matrix< double > & | Mat, |
| unsigned long & | index, | ||
| double & | LLR | ||
| ) |
Definition at line 2005 of file UnsupervisedTools.cpp.
Referenced by TrainTargetAdapt().
| void fuseMAP | ( | Config & | config, |
| StatServer & | ss, | ||
| MixtureServer & | ms, | ||
| MixtureGD & | aprioriModel, | ||
| MixtureGD & | clientMixture, | ||
| MixtureGD & | aux, | ||
| MixtureGD & | tmp, | ||
| DoubleVector & | decision, | ||
| XLine & | testsToCompute | ||
| ) |
Definition at line 1751 of file UnsupervisedTools.cpp.
References debug, fuseMAPMeans(), verbose, and verboseLevel.
Referenced by TrainTargetAdapt().
| void fuseMAPMeans | ( | const MixtureGD & | model1, |
| double & | w1, | ||
| const MixtureGD & | model2, | ||
| double & | w2, | ||
| MixtureGD & | result | ||
| ) |
Definition at line 1784 of file UnsupervisedTools.cpp.
Referenced by fuseMAP().
| String getFullFileName | ( | String & | id, |
| Config & | c | ||
| ) |
Definition at line 952 of file UnsupervisedTools.cpp.
Referenced by computeAndStoreZnormParam(), and TrainTargetAdapt().
| String getFullMixtureName | ( | String & | id, |
| Config & | c | ||
| ) |
Definition at line 959 of file UnsupervisedTools.cpp.
Referenced by learnEMimpostorModels(), learnMAPimpostorModels(), and TrainTargetAdapt().
| void learnEMimpostorModels | ( | Config & | config, |
| DoubleVector & | NbFramesSelectedImp, | ||
| MixtureServer & | ms, | ||
| StatServer & | ss, | ||
| MixtureGD & | world | ||
| ) |
Definition at line 1850 of file UnsupervisedTools.cpp.
References adaptModelEM(), FileExists(), getFullMixtureName(), initializeClusters(), line, SegClusterFrame(), verbose, and verifyClusterFile().
| void learnMAPimpostorModels | ( | Config & | config, |
| DoubleVector & | NbFramesSelectedImp, | ||
| MixtureServer & | ms, | ||
| StatServer & | ss, | ||
| MixtureGD & | world | ||
| ) |
Definition at line 1899 of file UnsupervisedTools.cpp.
References adaptModel(), FileExists(), getFullMixtureName(), initializeClusters(), line, SegClusterFrame(), verbose, and verifyClusterFile().
| void loadTnormParam | ( | String & | inputTestListFileName, |
| String & | testFileTnorm, | ||
| ObjectRefVector & | stockTnorm, | ||
| Config & | config | ||
| ) |
Definition at line 1211 of file UnsupervisedTools.cpp.
References debug, Norm::idTest, line, Norm::mu, and Norm::sigma.
Referenced by TrainTargetAdapt().
| void modelBasedadaptModelEM | ( | Config & | config, |
| StatServer & | ss, | ||
| MixtureServer & | ms, | ||
| FeatureServer & | fs, | ||
| SegCluster & | selectedSegments, | ||
| FeatureServer & | fsTests, | ||
| SegCluster & | selectedSegmentsTests, | ||
| MixtureGD & | aprioriModel, | ||
| MixtureGD & | clientMixture, | ||
| MixtureGD & | initModel | ||
| ) |
Definition at line 288 of file UnsupervisedTools.cpp.
References accumulateStatEM(), baggedSegments(), debug, MAPCfg::getBaggedFrameProbability(), MAPCfg::getNbEmIt(), likelihoodGD(), meanLikelihood(), verbose, and verboseLevel.
| void modelBasedadaptModelEM | ( | Config & | config, |
| StatServer & | ss, | ||
| MixtureServer & | ms, | ||
| FeatureServer & | fs, | ||
| SegCluster & | selectedSegments, | ||
| MixtureGD & | aprioriModel, | ||
| MixtureGD & | clientMixture, | ||
| MixtureGD & | initModel | ||
| ) |
Definition at line 423 of file UnsupervisedTools.cpp.
References accumulateStatEM(), baggedSegments(), debug, MAPCfg::getBaggedFrameProbability(), MAPCfg::getNbEmIt(), likelihoodGD(), and verbose.
| void normalizeScore | ( | String & | test, |
| double & | decision, | ||
| ObjectRefVector & | stockNorm, | ||
| double & | shift | ||
| ) |
Definition at line 1284 of file UnsupervisedTools.cpp.
References verbose, and verboseLevel.
| void normalizeScore | ( | String & | test, |
| double & | decision, | ||
| ObjectRefVector & | stockNorm | ||
| ) |
Definition at line 1264 of file UnsupervisedTools.cpp.
References verbose, and verboseLevel.
Referenced by computeAndStoreZnormParam(), and TrainTargetAdapt().
| void Oracle | ( | String & | idTar, |
| String & | idTest, | ||
| double & | score, | ||
| Config & | config, | ||
| MixtureGD & | tar, | ||
| MixtureGD & | non, | ||
| StatServer & | ss | ||
| ) |
Definition at line 1404 of file UnsupervisedTools.cpp.
References line, and WMAPGMMFixedPriors().
Referenced by TrainTargetAdapt().
| void resetWeights | ( | DoubleVector & | decision ) |
Definition at line 1390 of file UnsupervisedTools.cpp.
| double searchLLRFromResFile | ( | String & | idTar, |
| String & | test, | ||
| String & | inputResFilename, | ||
| Config & | config | ||
| ) |
Definition at line 1527 of file UnsupervisedTools.cpp.
References line.
Referenced by TrainTargetAdapt().
| double SegClusterFrame | ( | SegCluster & | SegC ) |
Definition at line 1183 of file UnsupervisedTools.cpp.
Referenced by learnEMimpostorModels(), learnMAPimpostorModels(), and TrainTargetAdapt().
| String selectNearestTarModel | ( | String & | TARListFilename, |
| String & | fullFileName, | ||
| Config & | config, | ||
| StatServer & | ss, | ||
| FeatureServer & | fs, | ||
| MixtureGD & | world, | ||
| SegCluster & | selectedSegments, | ||
| MixtureServer & | ms | ||
| ) |
Definition at line 1654 of file UnsupervisedTools.cpp.
References computeFastLLR(), computeLLR(), FileExists(), and line.
Referenced by TrainTargetAdapt().
| void WMAP | ( | DoubleVector & | decision, |
| Config & | configTest | ||
| ) |
Definition at line 901 of file UnsupervisedTools.cpp.
Referenced by TrainTargetAdapt().
| void WMAPGMM | ( | DoubleVector & | decision, |
| Config & | configTest, | ||
| MixtureGD & | tar, | ||
| MixtureGD & | non, | ||
| StatServer & | ss | ||
| ) |
Definition at line 1038 of file UnsupervisedTools.cpp.
References computePriors(), debug, verbose, and verboseLevel.
Referenced by TrainTargetAdapt().
| void WMAPGMMFixedPriors | ( | DoubleVector & | decision, |
| Config & | configTest, | ||
| MixtureGD & | tar, | ||
| MixtureGD & | non, | ||
| StatServer & | ss | ||
| ) |
Definition at line 985 of file UnsupervisedTools.cpp.
References debug, verbose, and verboseLevel.
Referenced by adaptModelEMweightedFrames(), Oracle(), and TrainTargetAdapt().
