├── .gitignore ├── README.md ├── code ├── Andreas-Themos │ ├── Config.py │ ├── FaceDatasets.py │ ├── FaceNetworks.py │ ├── MetaEmbeddings.py │ ├── Readme.md │ ├── example_baseline.py │ ├── landmarks.py │ ├── utils_data.py │ ├── utils_test.py │ └── utils_train.py ├── Niko │ └── matlab │ │ ├── SRE18 │ │ ├── MLNDA_SRE18 │ │ │ ├── MLNDA_MAP_obj.m │ │ │ ├── MLNDAobj.m │ │ │ ├── create_nice_Trans.m │ │ │ ├── create_nice_Trans2.m │ │ │ ├── create_nice_Trans3.m │ │ │ ├── create_nice_Trans4.m │ │ │ ├── demo_MLNDA.m │ │ │ ├── demo_MLNDA2.m │ │ │ ├── demo_MLNDA3.m │ │ │ ├── htplda_llh.m │ │ │ ├── logdetNice.m │ │ │ ├── logdetNice2.m │ │ │ ├── logdetNice3.m │ │ │ ├── logdetNice4.m │ │ │ ├── mmd │ │ │ │ ├── gauss_mmd.m │ │ │ │ ├── log_gauss_norm.m │ │ │ │ ├── logdet_solveLU.m │ │ │ │ ├── rkhs_inner_prod.m │ │ │ │ ├── rkhs_normsq_slow.m │ │ │ │ ├── rkhs_proj_onto_I0.m │ │ │ │ └── rkhs_proj_onto_I0_slow.m │ │ │ ├── optimization │ │ │ │ ├── L_BFGS.m │ │ │ │ ├── minpack_cstep.m │ │ │ │ └── minpack_cvsrch.m │ │ │ ├── param_adaptation │ │ │ │ ├── LinvSR.m │ │ │ │ ├── adaptSPLDA.m │ │ │ │ ├── demo_adaptSPLDA.m │ │ │ │ ├── logdetLU.m │ │ │ │ ├── matinv.m │ │ │ │ ├── perturb_and_simulate_SPLDA.m │ │ │ │ ├── posteriorNorm2_slow.m │ │ │ │ ├── posteriorNorm_fast.m │ │ │ │ ├── posteriorNorm_mindiv_slow.m │ │ │ │ ├── posteriorNorm_slow.m │ │ │ │ ├── splda_adaptation_obj.m │ │ │ │ ├── splda_llh_full.m │ │ │ │ ├── train_ML_adapted_SPLDA.m │ │ │ │ └── unpack_SPLDA_adaptation_params.m │ │ │ ├── sample_HTnoise.m │ │ │ ├── simulateSPLDA.m │ │ │ ├── splda_llh.m │ │ │ ├── test │ │ │ │ ├── testBackprop.m │ │ │ │ ├── testBackprop_multi.m │ │ │ │ └── testBackprop_rs.m │ │ │ ├── train_MAP_trans.m │ │ │ └── train_ML_trans.m │ │ └── fusion and calibration │ │ │ └── llr_vs_score_plot.m │ │ ├── clean │ │ └── VB4HTPLDA │ │ │ ├── HTPLDA_SGME_train_VB.m │ │ │ ├── VB4HTPLDA_demo.m │ │ │ ├── VB4HTPLDA_iteration.m │ │ │ ├── VB4HTPLDA_iteration_2.m │ │ │ └── create_HTPLDA_SGME_backend.m │ │ ├── fous-y-tout │ │ ├── Bell.m │ │ ├── CRP │ │ │ ├── K1.table │ │ │ ├── K2.table │ │ │ ├── create_PYCRP.m │ │ │ └── randgumbel.m │ │ ├── MLNDA │ │ │ ├── LinvSR.m │ │ │ ├── MLNDAobj.m │ │ │ ├── adaptSPLDA.m │ │ │ ├── compose_trans.m │ │ │ ├── create_affineTrans.m │ │ │ ├── create_affineTrans2.m │ │ │ ├── create_diaglinTrans.m │ │ │ ├── create_iso_lowrank_trans.m │ │ │ ├── create_linTrans.m │ │ │ ├── create_linTrans2.m │ │ │ ├── create_nice_Trans.m │ │ │ ├── create_nice_Trans2.m │ │ │ ├── create_sandwich_trans.m │ │ │ ├── create_scalTrans.m │ │ │ ├── create_shiftTrans.m │ │ │ ├── demo_MLNDA.m │ │ │ ├── diag2full.m │ │ │ ├── logdetLU.m │ │ │ ├── logdetNice.m │ │ │ ├── logdetNice2.m │ │ │ ├── matmul.m │ │ │ ├── mvn_obj.m │ │ │ ├── posteriorNorm_fast.m │ │ │ ├── posteriorNorm_slow.m │ │ │ ├── simulateSPLDA.m │ │ │ ├── smvn_llh.m │ │ │ ├── splda_adaptation_obj.m │ │ │ ├── splda_llh.m │ │ │ ├── splda_llh_full.m │ │ │ ├── splda_map_adaptation_obj.m │ │ │ ├── testTransform_obj.m │ │ │ ├── test_MLNDA.m │ │ │ ├── test_MLNDA2.m │ │ │ ├── test_MLNDA3.m │ │ │ ├── test_MLNDA4.m │ │ │ └── train_ML_trans.m │ │ ├── MVG_ME_example1.m │ │ ├── MVG_ME_example2.m │ │ ├── MVG_ME_example3.m │ │ ├── MVG_ME_example4.m │ │ ├── MVG_ME_example5.m │ │ ├── Orlov2002_partitions.pdf │ │ ├── PLDA_mixture_responsibilities.m │ │ ├── ParPLDA │ │ │ ├── JPLDA_equip_with_extractor.m │ │ │ ├── SPLDA_equip_with_diagble_extractor.m │ │ │ ├── SPLDA_equip_with_extractor.m │ │ │ ├── create_diagonalized_precision.m │ │ │ ├── derive_parPLDA.m │ │ │ ├── equip_with_GME_scoring.m │ │ │ ├── equip_with_diagble_GME_scoring.m │ │ │ ├── init_SPLDA.m │ │ │ ├── test_parPLDA.m │ │ │ ├── train_JPLDA.m │ │ │ └── train_parPLDA.m │ │ ├── SDPLDA │ │ │ ├── create_semi_discrete_plda.m │ │ │ ├── create_semi_discrete_plda2.m │ │ │ └── create_semi_discrete_plda3.m │ │ ├── SGME_BXE.m │ │ ├── SGME_F2G.m │ │ ├── SGME_MXE.m │ │ ├── SGME_MXE2.m │ │ ├── SGME_extr.m │ │ ├── SGME_extr_full.m │ │ ├── SGME_extr_full_slightly_slower.m │ │ ├── SGME_extract.m │ │ ├── SGME_given_precisions_experiment.m │ │ ├── SGME_logPsL.m │ │ ├── SGME_logexpectation.m │ │ ├── SGME_logexpectation_full.m │ │ ├── SGME_logexpectation_slow.m │ │ ├── SGME_nu_experiment.m │ │ ├── SGME_nu_experiment2.m │ │ ├── SGME_train.m │ │ ├── SGME_train2.m │ │ ├── SGME_train_BXE.m │ │ ├── SGME_train_MXE.m │ │ ├── SGME_train_MXE2.m │ │ ├── SGME_train_experiment1.m │ │ ├── SGME_train_experiment2.m │ │ ├── SGME_train_experiment3.m │ │ ├── SGME_train_experiment4.m │ │ ├── SGME_train_experiment_VB.m │ │ ├── VB4HTPLDA │ │ │ └── create_HTPLDA_SGME_backend_prod.m │ │ ├── VB_vs_PsL_demo.m │ │ ├── approx_log_Bell.m │ │ ├── asChol.m │ │ ├── asEig.m │ │ ├── asEig_svd.m │ │ ├── bosaris_toolkit │ │ │ ├── binary_mixture_llh.m │ │ │ ├── calibration │ │ │ │ ├── linear_calibrate_scores.m │ │ │ │ ├── linear_calibrate_scores_dev_eval.m │ │ │ │ ├── linear_calibrate_scores_dev_eval_from_files.m │ │ │ │ ├── linear_calibrate_scores_from_files.m │ │ │ │ ├── pav_calibrate_scores.m │ │ │ │ ├── pav_calibrate_scores_dev_eval.m │ │ │ │ ├── pav_calibration.m │ │ │ │ └── train_linear_calibration.m │ │ │ ├── classes │ │ │ │ ├── @Det_Plot │ │ │ │ │ ├── Det_Plot.m │ │ │ │ │ ├── add_legend_entry.m │ │ │ │ │ ├── display_legend.m │ │ │ │ │ ├── plot_DR30_both.m │ │ │ │ │ ├── plot_DR30_fa.m │ │ │ │ │ ├── plot_DR30_miss.m │ │ │ │ │ ├── plot_det_from_roc.m │ │ │ │ │ ├── plot_mindcf_point.m │ │ │ │ │ ├── plot_rocch_det.m │ │ │ │ │ ├── plot_steppy_det.m │ │ │ │ │ ├── prepare_plot.m │ │ │ │ │ ├── save_as_pdf.m │ │ │ │ │ ├── set_system.m │ │ │ │ │ └── set_system_from_scores.m │ │ │ │ ├── @Id_Map │ │ │ │ │ ├── Id_Map.m │ │ │ │ │ ├── filter_on_left.m │ │ │ │ │ ├── filter_on_right.m │ │ │ │ │ ├── map_left_to_right.m │ │ │ │ │ ├── map_right_to_left.m │ │ │ │ │ ├── merge.m │ │ │ │ │ ├── read.m │ │ │ │ │ ├── read_hdf5.m │ │ │ │ │ ├── read_mat.m │ │ │ │ │ ├── read_txt.m │ │ │ │ │ ├── save.m │ │ │ │ │ ├── save_hdf5.m │ │ │ │ │ ├── save_mat.m │ │ │ │ │ ├── save_txt.m │ │ │ │ │ └── validate.m │ │ │ │ ├── @Key │ │ │ │ │ ├── Key.m │ │ │ │ │ ├── filter.m │ │ │ │ │ ├── merge.m │ │ │ │ │ ├── read.m │ │ │ │ │ ├── read_hdf5.m │ │ │ │ │ ├── read_mat.m │ │ │ │ │ ├── read_sre16.m │ │ │ │ │ ├── read_txt.m │ │ │ │ │ ├── save.m │ │ │ │ │ ├── save_hdf5.m │ │ │ │ │ ├── save_mat.m │ │ │ │ │ ├── save_txt.m │ │ │ │ │ ├── to_ndx.m │ │ │ │ │ └── validate.m │ │ │ │ ├── @Logger │ │ │ │ │ ├── Logger.m │ │ │ │ │ ├── add_fid.m │ │ │ │ │ ├── add_filename.m │ │ │ │ │ ├── add_stderr.m │ │ │ │ │ ├── add_stdout.m │ │ │ │ │ ├── clear.m │ │ │ │ │ ├── log.m │ │ │ │ │ ├── rm_fid.m │ │ │ │ │ ├── rm_filename.m │ │ │ │ │ ├── rm_stderr.m │ │ │ │ │ ├── rm_stdout.m │ │ │ │ │ └── validate.m │ │ │ │ ├── @Ndx │ │ │ │ │ ├── Ndx.m │ │ │ │ │ ├── filter.m │ │ │ │ │ ├── merge.m │ │ │ │ │ ├── read.m │ │ │ │ │ ├── read_hdf5.m │ │ │ │ │ ├── read_mat.m │ │ │ │ │ ├── read_nistsre16_eval.m │ │ │ │ │ ├── read_txt.m │ │ │ │ │ ├── save.m │ │ │ │ │ ├── save_hdf5.m │ │ │ │ │ ├── save_mat.m │ │ │ │ │ ├── save_txt.m │ │ │ │ │ └── validate.m │ │ │ │ ├── @Norm_DCF_Plot │ │ │ │ │ ├── Norm_DCF_Plot.m │ │ │ │ │ ├── add_legend_entry.m │ │ │ │ │ ├── display_legend.m │ │ │ │ │ ├── plot_DR30_both.m │ │ │ │ │ ├── plot_DR30_fa.m │ │ │ │ │ ├── plot_DR30_miss.m │ │ │ │ │ ├── plot_curves.m │ │ │ │ │ ├── plot_dcf_curve.m │ │ │ │ │ ├── plot_dcf_curve_act.m │ │ │ │ │ ├── plot_dcf_curve_min.m │ │ │ │ │ ├── plot_fa_rate.m │ │ │ │ │ ├── plot_fa_rate_act.m │ │ │ │ │ ├── plot_fa_rate_min.m │ │ │ │ │ ├── plot_miss_rate.m │ │ │ │ │ ├── plot_miss_rate_act.m │ │ │ │ │ ├── plot_miss_rate_min.m │ │ │ │ │ ├── plot_operating_point.m │ │ │ │ │ ├── save_as_pdf.m │ │ │ │ │ ├── set_system.m │ │ │ │ │ └── set_system_from_scores.m │ │ │ │ ├── @Quality │ │ │ │ │ ├── Quality.m │ │ │ │ │ ├── align_with_ndx.m │ │ │ │ │ ├── merge.m │ │ │ │ │ ├── read.m │ │ │ │ │ ├── read_hdf5.m │ │ │ │ │ ├── read_mat.m │ │ │ │ │ ├── save.m │ │ │ │ │ ├── save_hdf5.m │ │ │ │ │ ├── save_mat.m │ │ │ │ │ └── validate.m │ │ │ │ ├── @Results │ │ │ │ │ └── Results.m │ │ │ │ ├── @Scores │ │ │ │ │ ├── Scores.m │ │ │ │ │ ├── align_with_ndx.m │ │ │ │ │ ├── filter.m │ │ │ │ │ ├── get_scores.m │ │ │ │ │ ├── get_tar_non.m │ │ │ │ │ ├── merge.m │ │ │ │ │ ├── read.m │ │ │ │ │ ├── read_NM_Jesusito.m │ │ │ │ │ ├── read_crimdev.m │ │ │ │ │ ├── read_crimeval.m │ │ │ │ │ ├── read_hdf5.m │ │ │ │ │ ├── read_mat.m │ │ │ │ │ ├── read_txt.m │ │ │ │ │ ├── save.m │ │ │ │ │ ├── save_hdf5.m │ │ │ │ │ ├── save_mat.m │ │ │ │ │ ├── save_txt.m │ │ │ │ │ ├── set_missing_to_value.m │ │ │ │ │ ├── transform.m │ │ │ │ │ └── validate.m │ │ │ │ └── @Seg_Quality │ │ │ │ │ ├── Seg_Quality.m │ │ │ │ │ ├── align_with_ids.m │ │ │ │ │ ├── merge.m │ │ │ │ │ ├── read.m │ │ │ │ │ ├── read_hdf5.m │ │ │ │ │ ├── read_mat.m │ │ │ │ │ ├── read_txt.m │ │ │ │ │ ├── save.m │ │ │ │ │ ├── save_hdf5.m │ │ │ │ │ ├── save_mat.m │ │ │ │ │ ├── save_txt.m │ │ │ │ │ └── validate.m │ │ │ ├── demo │ │ │ │ ├── demo_fusion.m │ │ │ │ ├── demo_main.m │ │ │ │ ├── demo_make_data_for_fusion.m │ │ │ │ ├── demo_make_score_files.m │ │ │ │ ├── demo_plot_det.m │ │ │ │ ├── demo_plot_det_for_fusion.m │ │ │ │ ├── demo_plot_nber.m │ │ │ │ └── demo_with_files.m │ │ │ ├── docs │ │ │ │ └── bosaristoolkit_user_manual.pdf │ │ │ ├── fusion │ │ │ │ ├── analyse_dev_lin_and_qual_fusion.m │ │ │ │ ├── analyse_dev_lin_fusion.m │ │ │ │ ├── analyse_eval_lin_and_qual_fusion.m │ │ │ │ ├── analyse_eval_lin_fusion.m │ │ │ │ ├── apply_linear_fusion_function.m │ │ │ │ ├── apply_quality_fusion_function.m │ │ │ │ ├── funcs │ │ │ │ │ ├── AWB_sparse.m │ │ │ │ │ ├── applyQtrans.m │ │ │ │ │ ├── assemble_scr.m │ │ │ │ │ ├── estimate_target_proportions.m │ │ │ │ │ ├── evalAll.m │ │ │ │ │ ├── kldivergence_of_systems.m │ │ │ │ │ ├── make_classf_from_key.m │ │ │ │ │ ├── make_initial_fusion_weights.m │ │ │ │ │ ├── qfuser_backoff.m │ │ │ │ │ ├── qfuser_linear.m │ │ │ │ │ ├── spliceQ.m │ │ │ │ │ ├── stackQ.m │ │ │ │ │ ├── stackScores.m │ │ │ │ │ └── train_qfuser.m │ │ │ │ ├── linear_and_quality_fusion_dev_eval.m │ │ │ │ ├── linear_and_quality_fusion_dev_eval_from_files.m │ │ │ │ ├── linear_and_quality_fusion_scores.m │ │ │ │ ├── linear_and_quality_fusion_scores_from_files.m │ │ │ │ ├── linear_fusion_dev_eval.m │ │ │ │ ├── linear_fusion_dev_eval_from_files.m │ │ │ │ ├── linear_fusion_scores.m │ │ │ │ ├── linear_fusion_scores_from_files.m │ │ │ │ ├── train_linear_fuser.m │ │ │ │ ├── train_linear_fusion_function.m │ │ │ │ └── train_quality_fusion_function.m │ │ │ ├── plotting │ │ │ │ ├── dcfplot.m │ │ │ │ └── detplot.m │ │ │ ├── readme.txt │ │ │ ├── stats │ │ │ │ ├── area_under_rocch.m │ │ │ │ ├── cllr.m │ │ │ │ ├── dcf_at_threshold.m │ │ │ │ ├── eer.m │ │ │ │ ├── effective_prior.m │ │ │ │ ├── fastEval.m │ │ │ │ ├── fast_actDCF.m │ │ │ │ ├── fast_minDCF.m │ │ │ │ ├── funcs │ │ │ │ │ ├── opt_loglr.m │ │ │ │ │ └── rocch2eer.m │ │ │ │ ├── min_cllr.m │ │ │ │ └── prbep.m │ │ │ └── utility_funcs │ │ │ │ ├── Optimization_Toolkit │ │ │ │ ├── MV2DF │ │ │ │ │ ├── 2diff_chain_rules.pdf │ │ │ │ │ ├── MV2DF_API_DEFINITION.readme │ │ │ │ │ ├── WARNING_bug_when_using_singles.readme │ │ │ │ │ ├── deriv_approx │ │ │ │ │ │ ├── crstepHess.m │ │ │ │ │ │ ├── cstepHess.m │ │ │ │ │ │ ├── cstepJacobian.m │ │ │ │ │ │ ├── r2stepHess.m │ │ │ │ │ │ ├── r4stepHess.m │ │ │ │ │ │ ├── rstep.m │ │ │ │ │ │ ├── rstepHess.m │ │ │ │ │ │ └── rstepJacobian.m │ │ │ │ │ ├── discrim_training │ │ │ │ │ │ ├── score_system.m │ │ │ │ │ │ └── train_system.m │ │ │ │ │ ├── function_combination │ │ │ │ │ │ ├── compose_mv.m │ │ │ │ │ │ ├── dotprod_of_functions.m │ │ │ │ │ │ ├── dottimes_of_functions.m │ │ │ │ │ │ ├── interleave.m │ │ │ │ │ │ ├── outerprod_of_functions.m │ │ │ │ │ │ ├── product_of_functions.m │ │ │ │ │ │ ├── replace_hessian.m │ │ │ │ │ │ ├── scale_and_translate.m │ │ │ │ │ │ ├── scale_function.m │ │ │ │ │ │ ├── shift_function.m │ │ │ │ │ │ ├── stack.m │ │ │ │ │ │ └── sum_of_functions.m │ │ │ │ │ ├── function_library │ │ │ │ │ │ ├── linear │ │ │ │ │ │ │ ├── KtimesW.m │ │ │ │ │ │ │ ├── WtimesK.m │ │ │ │ │ │ │ ├── addOffset.m │ │ │ │ │ │ │ ├── addSigmaI.m │ │ │ │ │ │ │ ├── columnJofN_fh.m │ │ │ │ │ │ │ ├── fusion_mv2df.m │ │ │ │ │ │ │ ├── identity_trans.m │ │ │ │ │ │ │ ├── scaleColumns.m │ │ │ │ │ │ │ ├── scaleRows.m │ │ │ │ │ │ │ ├── subvec.m │ │ │ │ │ │ │ ├── sumcolumns_fh.m │ │ │ │ │ │ │ ├── templates │ │ │ │ │ │ │ │ ├── affineTrans.m │ │ │ │ │ │ │ │ ├── const_mv2df.m │ │ │ │ │ │ │ │ └── linTrans.m │ │ │ │ │ │ │ └── transpose_mv2df.m │ │ │ │ │ │ ├── multivariate │ │ │ │ │ │ │ ├── UtU.m │ │ │ │ │ │ │ ├── XtKX.m │ │ │ │ │ │ │ ├── bsxtimes.m │ │ │ │ │ │ │ ├── calibrateScores.m │ │ │ │ │ │ │ ├── dottimes.m │ │ │ │ │ │ │ ├── gemm.m │ │ │ │ │ │ │ ├── logsoftmax_mv2df.m │ │ │ │ │ │ │ ├── logsoftmax_trunc_mv2df.m │ │ │ │ │ │ │ ├── mm_special.m │ │ │ │ │ │ │ ├── solveChol_AXeqB.m │ │ │ │ │ │ │ ├── solve_AXeqB.m │ │ │ │ │ │ │ ├── sqdist.m │ │ │ │ │ │ │ └── sums_of_squares.m │ │ │ │ │ │ ├── scalar │ │ │ │ │ │ │ ├── boost_obj.m │ │ │ │ │ │ │ ├── brier_obj.m │ │ │ │ │ │ │ ├── cllr_obj.m │ │ │ │ │ │ │ ├── gauss_ll.m │ │ │ │ │ │ │ ├── logdet_chol.m │ │ │ │ │ │ │ ├── mce_obj.m │ │ │ │ │ │ │ ├── neg_gaussll_taylor.m │ │ │ │ │ │ │ ├── sumsquares_penalty.m │ │ │ │ │ │ │ ├── templates │ │ │ │ │ │ │ │ └── sum_ai_f_of_w_i.m │ │ │ │ │ │ │ └── wmlr_obj.m │ │ │ │ │ │ ├── test │ │ │ │ │ │ │ ├── demo_tracer.m │ │ │ │ │ │ │ ├── test_MV2DF.m │ │ │ │ │ │ │ ├── test_MV2DF_noHess.m │ │ │ │ │ │ │ └── tracer.m │ │ │ │ │ │ └── vector │ │ │ │ │ │ │ ├── exp_mv2df.m │ │ │ │ │ │ │ ├── expneg_mv2df.m │ │ │ │ │ │ │ ├── logsigmoid_fh.m │ │ │ │ │ │ │ ├── logsumexp_fh.m │ │ │ │ │ │ │ ├── logsumsquares_fh.m │ │ │ │ │ │ │ ├── neglogsigmoid_fh.m │ │ │ │ │ │ │ ├── one_over_one_plus_w_mv2df.m │ │ │ │ │ │ │ ├── sigmoid_mv2df.m │ │ │ │ │ │ │ ├── square_mv2df.m │ │ │ │ │ │ │ ├── templates │ │ │ │ │ │ │ └── vectorized_function.m │ │ │ │ │ │ │ └── what_goes_in_here.readme │ │ │ │ │ └── utils │ │ │ │ │ │ ├── inv_lu2.m │ │ │ │ │ │ ├── invchol2.m │ │ │ │ │ │ ├── invchol_or_lu.m │ │ │ │ │ │ └── invchol_taylor.m │ │ │ │ ├── TRNCG │ │ │ │ │ ├── cg_steihaug.m │ │ │ │ │ └── trustregion_newton_cg.m │ │ │ │ └── applications │ │ │ │ │ └── fusion2class │ │ │ │ │ ├── evaluate_objective.m │ │ │ │ │ ├── experiments │ │ │ │ │ ├── experiment_quality.m │ │ │ │ │ └── synth_scores_with_quality.m │ │ │ │ │ ├── mv2df_function_library │ │ │ │ │ ├── AWB_fh.m │ │ │ │ │ ├── addtotranspose_fh.m │ │ │ │ │ ├── augmentmatrix_fh.m │ │ │ │ │ ├── bsx_col_plus_row.m │ │ │ │ │ ├── duplicator_fh.m │ │ │ │ │ ├── log_distance_mv2df.m │ │ │ │ │ ├── splitvec_fh.m │ │ │ │ │ ├── square_distance_mv2df.m │ │ │ │ │ ├── subvec_fh.m │ │ │ │ │ ├── templates │ │ │ │ │ │ └── linTrans_adaptive.m │ │ │ │ │ ├── tril_to_symm_fh.m │ │ │ │ │ └── xoverxplusalpha.m │ │ │ │ │ ├── quality_modules │ │ │ │ │ ├── QQtoLLH.m │ │ │ │ │ ├── QQtoP.m │ │ │ │ │ ├── QtoLLH.m │ │ │ │ │ ├── fused_sigmoid.m │ │ │ │ │ ├── outerprod_of_sigmoids.m │ │ │ │ │ ├── parallel_cal.m │ │ │ │ │ ├── parallel_cal_augm.m │ │ │ │ │ ├── prmtrzd_sig_log_dist.m │ │ │ │ │ ├── prmtrzd_sigmoid.m │ │ │ │ │ ├── prod_of_prmtrzd_sigmoids.m │ │ │ │ │ ├── prod_sigmoid_logdist.m │ │ │ │ │ ├── sigmoid_log_sumsqdist.m │ │ │ │ │ └── sigmoid_logdistance.m │ │ │ │ │ ├── systems │ │ │ │ │ ├── aside │ │ │ │ │ │ ├── quality_fuser_v1.m │ │ │ │ │ │ ├── quality_fuser_v2.m │ │ │ │ │ │ ├── quality_fuser_v3.m │ │ │ │ │ │ └── quality_fuser_v4.m │ │ │ │ │ ├── linear_fuser.m │ │ │ │ │ ├── qfuser_v1.m │ │ │ │ │ ├── qfuser_v2.m │ │ │ │ │ ├── qfuser_v3.m │ │ │ │ │ ├── qfuser_v4.m │ │ │ │ │ ├── qfuser_v5.m │ │ │ │ │ ├── qfuser_v6.m │ │ │ │ │ ├── qfuser_v7.m │ │ │ │ │ └── scalibration │ │ │ │ │ │ ├── logsumexp_special.m │ │ │ │ │ │ ├── scal_fuser.m │ │ │ │ │ │ ├── scal_fuser_slow.m │ │ │ │ │ │ ├── scal_simple_fh.m │ │ │ │ │ │ ├── scalibration_fh.m │ │ │ │ │ │ └── scalibration_fragile_fh.m │ │ │ │ │ ├── test_binary_classifier.m │ │ │ │ │ └── train_binary_classifier.m │ │ │ │ ├── data │ │ │ │ ├── load_qual_files.m │ │ │ │ ├── load_score_files.m │ │ │ │ ├── log_error.m │ │ │ │ ├── log_info.m │ │ │ │ ├── log_warning.m │ │ │ │ ├── logprint.m │ │ │ │ ├── read_list.m │ │ │ │ ├── read_map.m │ │ │ │ ├── save_list.m │ │ │ │ └── sprintfmatrix.m │ │ │ │ ├── det │ │ │ │ ├── compute_roc.m │ │ │ │ ├── filter_roc.m │ │ │ │ ├── pavx.m │ │ │ │ ├── rocch.m │ │ │ │ └── rocchdet.m │ │ │ │ ├── manip │ │ │ │ ├── make_objective_function_from_name.m │ │ │ │ ├── map_mod_names.m │ │ │ │ ├── maplookup.m │ │ │ │ └── seg_qual_to_qual.m │ │ │ │ └── maths │ │ │ │ ├── logit.m │ │ │ │ ├── neglogsigmoid.m │ │ │ │ ├── probit.m │ │ │ │ └── sigmoid.m │ │ ├── count_Gibbs_states.m │ │ ├── create_BXE_calculator.m │ │ ├── create_GPLDA_extractor.m │ │ ├── create_HTPLDA_SGME_backend2.m │ │ ├── create_HTPLDA_extractor.m │ │ ├── create_SGME_calculator.m │ │ ├── create_TPLDA.m │ │ ├── create_flat_partition_prior.m │ │ ├── create_partition_iterator.m │ │ ├── create_partition_posterior_calculator.m │ │ ├── create_plain_GME.m │ │ ├── create_pseudolikelihood_calculator.m │ │ ├── create_pseudolikelihood_calculator_old.m │ │ ├── create_scaled_GME.m │ │ ├── dpmm │ │ │ ├── CRP │ │ │ │ ├── K1.table │ │ │ │ ├── K2.table │ │ │ │ ├── create_PYCRP.m │ │ │ │ └── randgumbel.m │ │ │ ├── NUTS-matlab-master │ │ │ │ ├── ESS.m │ │ │ │ ├── Example │ │ │ │ │ ├── NUTS_wrapper.m │ │ │ │ │ ├── SP500.mat │ │ │ │ │ ├── example_Bayesian_logistic_regression.m │ │ │ │ │ ├── example_stochastic_volatility.m │ │ │ │ │ ├── german.mat │ │ │ │ │ ├── gradLogitPosterior.m │ │ │ │ │ └── gradSvPosterior.m │ │ │ │ ├── LICENSE.md │ │ │ │ ├── NUTS.m │ │ │ │ ├── README.md │ │ │ │ ├── Recycle │ │ │ │ │ └── ReNUTS.m │ │ │ │ ├── dualAveraging.m │ │ │ │ └── getting_started_with_NUTS_and_dual_averaging_algorithm.m │ │ │ ├── assemble_truncDPMM.m │ │ │ ├── createDPMM.m │ │ │ ├── create_GibbsGMM.m │ │ │ ├── create_Label_node.m │ │ │ ├── create_SPLDA_node.m │ │ │ ├── create_fast_CollapsedGibbs.m │ │ │ ├── create_stdMVG_node.m │ │ │ ├── create_symmetricDirichlet_node.m │ │ │ ├── create_truncGMM.m │ │ │ ├── create_univariate_Laplace_node.m │ │ │ ├── create_uvg_Prior.m │ │ │ ├── gamma_vs_lognormal.m │ │ │ ├── logDirichlet.m │ │ │ ├── plots │ │ │ │ ├── 500_100_1.4_full_vs_collapsed.pdf │ │ │ │ ├── 500_100_10_full_vs_collapsed.pdf │ │ │ │ ├── 500_100_3_full_vs_collapsed.pdf │ │ │ │ ├── Gibbs_vs_VB_example1.jpg │ │ │ │ └── Gibbs_vs_VB_example2.jpg │ │ │ ├── randDirichlet.m │ │ │ ├── randg.m │ │ │ ├── stochastic_clustering.zip │ │ │ ├── t-sne │ │ │ │ ├── d2p.m │ │ │ │ ├── tSNE_matlab.zip │ │ │ │ ├── tsne.m │ │ │ │ ├── tsne_d.m │ │ │ │ ├── tsne_p.m │ │ │ │ └── x2p.m │ │ │ ├── testEER.m │ │ │ ├── test_GMM_Gibbs.m │ │ │ ├── test_GMM_Gibbs_Balerion.m │ │ │ └── trunc_gaussian │ │ │ │ └── trandn.m │ │ ├── dsolve.m │ │ ├── equip_ME.m │ │ ├── example_8_1.m │ │ ├── labels2blocks.m │ │ ├── language_recognition │ │ │ ├── TLDIvector │ │ │ │ ├── create_diagonalized_C.m │ │ │ │ ├── experiment.m │ │ │ │ ├── getPosteriorNatParams.m │ │ │ │ ├── precomputeTT.m │ │ │ │ ├── score_TLDIvector.m │ │ │ │ ├── stats2ivectors.m │ │ │ │ └── train_TLDIvector.m │ │ │ ├── T_backend │ │ │ │ ├── McClachlan_Krishnan_The_EM_algorithm_and_extensions.pdf │ │ │ │ └── create_T_backend.m │ │ │ ├── augmentation │ │ │ │ ├── augment_i_vectors.m │ │ │ │ └── create_augmenting_backend.m │ │ │ └── synth_data │ │ │ │ ├── rand_fake_Dirichlet.m │ │ │ │ ├── rand_ivector.m │ │ │ │ └── randgamma.m │ │ ├── logBell.m │ │ ├── log_pseudo_likelihood.m │ │ ├── logsumexp.m │ │ ├── optimization │ │ │ ├── L_BFGS.m │ │ │ ├── minpack_cstep.m │ │ │ └── minpack_cvsrch.m │ │ ├── plain_GME_log_expectations.m │ │ ├── plotGaussian.m │ │ ├── plotL2dist.m │ │ ├── randg.m │ │ ├── sampleARG.m │ │ ├── sampleChol.m │ │ ├── scaled_GME_precision.m │ │ ├── stochastic_clustering │ │ │ └── create_partition_posterior.m │ │ ├── sumlogsoftmax.m │ │ ├── sumlogsumexp.m │ │ ├── synthdata │ │ │ ├── sample_HTPLDA_database.m │ │ │ ├── sample_HTnoise.m │ │ │ └── sample_speaker.m │ │ ├── test │ │ │ ├── testBackprop.m │ │ │ ├── testBackprop_multi.m │ │ │ └── testBackprop_rs.m │ │ └── tme.m │ │ └── stochastic_clustering │ │ ├── create_truncGMM.m │ │ ├── logDirichlet.m │ │ ├── randDirichlet.m │ │ └── randg.m └── snapshot_for_anya │ └── matlab │ ├── Bell.m │ ├── CRP │ ├── K1.table │ ├── K2.table │ ├── create_PYCRP.m │ └── randgumbel.m │ ├── MVG_ME_example1.m │ ├── MVG_ME_example2.m │ ├── MVG_ME_example3.m │ ├── MVG_ME_example4.m │ ├── MVG_ME_example5.m │ ├── Orlov2002_partitions.pdf │ ├── PLDA_mixture_responsibilities.m │ ├── SGME_BXE.m │ ├── SGME_MXE.m │ ├── SGME_MXE2.m │ ├── SGME_extract.m │ ├── SGME_logPsL.m │ ├── SGME_logexpectation.m │ ├── SGME_train.m │ ├── SGME_train_BXE.m │ ├── SGME_train_MXE.m │ ├── SGME_train_MXE2.m │ ├── SGME_train_experiment1.m │ ├── SGME_train_experiment2.m │ ├── SGME_train_experiment3.m │ ├── SGME_train_experiment4.m │ ├── approx_log_Bell.m │ ├── asChol.m │ ├── bosaris_toolkit │ ├── binary_mixture_llh.m │ ├── calibration │ │ ├── linear_calibrate_scores.m │ │ ├── linear_calibrate_scores_dev_eval.m │ │ ├── linear_calibrate_scores_dev_eval_from_files.m │ │ ├── linear_calibrate_scores_from_files.m │ │ ├── pav_calibrate_scores.m │ │ ├── pav_calibrate_scores_dev_eval.m │ │ ├── pav_calibration.m │ │ └── train_linear_calibration.m │ ├── classes │ │ ├── @Det_Plot │ │ │ ├── Det_Plot.m │ │ │ ├── add_legend_entry.m │ │ │ ├── display_legend.m │ │ │ ├── plot_DR30_both.m │ │ │ ├── plot_DR30_fa.m │ │ │ ├── plot_DR30_miss.m │ │ │ ├── plot_det_from_roc.m │ │ │ ├── plot_mindcf_point.m │ │ │ ├── plot_rocch_det.m │ │ │ ├── plot_steppy_det.m │ │ │ ├── prepare_plot.m │ │ │ ├── save_as_pdf.m │ │ │ ├── set_system.m │ │ │ └── set_system_from_scores.m │ │ ├── @Id_Map │ │ │ ├── Id_Map.m │ │ │ ├── filter_on_left.m │ │ │ ├── filter_on_right.m │ │ │ ├── map_left_to_right.m │ │ │ ├── map_right_to_left.m │ │ │ ├── merge.m │ │ │ ├── read.m │ │ │ ├── read_hdf5.m │ │ │ ├── read_mat.m │ │ │ ├── read_txt.m │ │ │ ├── save.m │ │ │ ├── save_hdf5.m │ │ │ ├── save_mat.m │ │ │ ├── save_txt.m │ │ │ └── validate.m │ │ ├── @Key │ │ │ ├── Key.m │ │ │ ├── filter.m │ │ │ ├── merge.m │ │ │ ├── read.m │ │ │ ├── read_hdf5.m │ │ │ ├── read_mat.m │ │ │ ├── read_sre16.m │ │ │ ├── read_txt.m │ │ │ ├── save.m │ │ │ ├── save_hdf5.m │ │ │ ├── save_mat.m │ │ │ ├── save_txt.m │ │ │ ├── to_ndx.m │ │ │ └── validate.m │ │ ├── @Logger │ │ │ ├── Logger.m │ │ │ ├── add_fid.m │ │ │ ├── add_filename.m │ │ │ ├── add_stderr.m │ │ │ ├── add_stdout.m │ │ │ ├── clear.m │ │ │ ├── log.m │ │ │ ├── rm_fid.m │ │ │ ├── rm_filename.m │ │ │ ├── rm_stderr.m │ │ │ ├── rm_stdout.m │ │ │ └── validate.m │ │ ├── @Ndx │ │ │ ├── Ndx.m │ │ │ ├── filter.m │ │ │ ├── merge.m │ │ │ ├── read.m │ │ │ ├── read_hdf5.m │ │ │ ├── read_mat.m │ │ │ ├── read_nistsre16_eval.m │ │ │ ├── read_txt.m │ │ │ ├── save.m │ │ │ ├── save_hdf5.m │ │ │ ├── save_mat.m │ │ │ ├── save_txt.m │ │ │ └── validate.m │ │ ├── @Norm_DCF_Plot │ │ │ ├── Norm_DCF_Plot.m │ │ │ ├── add_legend_entry.m │ │ │ ├── display_legend.m │ │ │ ├── plot_DR30_both.m │ │ │ ├── plot_DR30_fa.m │ │ │ ├── plot_DR30_miss.m │ │ │ ├── plot_curves.m │ │ │ ├── plot_dcf_curve.m │ │ │ ├── plot_dcf_curve_act.m │ │ │ ├── plot_dcf_curve_min.m │ │ │ ├── plot_fa_rate.m │ │ │ ├── plot_fa_rate_act.m │ │ │ ├── plot_fa_rate_min.m │ │ │ ├── plot_miss_rate.m │ │ │ ├── plot_miss_rate_act.m │ │ │ ├── plot_miss_rate_min.m │ │ │ ├── plot_operating_point.m │ │ │ ├── save_as_pdf.m │ │ │ ├── set_system.m │ │ │ └── set_system_from_scores.m │ │ ├── @Quality │ │ │ ├── Quality.m │ │ │ ├── align_with_ndx.m │ │ │ ├── merge.m │ │ │ ├── read.m │ │ │ ├── read_hdf5.m │ │ │ ├── read_mat.m │ │ │ ├── save.m │ │ │ ├── save_hdf5.m │ │ │ ├── save_mat.m │ │ │ └── validate.m │ │ ├── @Results │ │ │ └── Results.m │ │ ├── @Scores │ │ │ ├── Scores.m │ │ │ ├── align_with_ndx.m │ │ │ ├── filter.m │ │ │ ├── get_scores.m │ │ │ ├── get_tar_non.m │ │ │ ├── merge.m │ │ │ ├── read.m │ │ │ ├── read_NM_Jesusito.m │ │ │ ├── read_crimdev.m │ │ │ ├── read_crimeval.m │ │ │ ├── read_hdf5.m │ │ │ ├── read_mat.m │ │ │ ├── read_txt.m │ │ │ ├── save.m │ │ │ ├── save_hdf5.m │ │ │ ├── save_mat.m │ │ │ ├── save_txt.m │ │ │ ├── set_missing_to_value.m │ │ │ ├── transform.m │ │ │ └── validate.m │ │ └── @Seg_Quality │ │ │ ├── Seg_Quality.m │ │ │ ├── align_with_ids.m │ │ │ ├── merge.m │ │ │ ├── read.m │ │ │ ├── read_hdf5.m │ │ │ ├── read_mat.m │ │ │ ├── read_txt.m │ │ │ ├── save.m │ │ │ ├── save_hdf5.m │ │ │ ├── save_mat.m │ │ │ ├── save_txt.m │ │ │ └── validate.m │ ├── demo │ │ ├── demo_fusion.m │ │ ├── demo_main.m │ │ ├── demo_make_data_for_fusion.m │ │ ├── demo_make_score_files.m │ │ ├── demo_plot_det.m │ │ ├── demo_plot_det_for_fusion.m │ │ ├── demo_plot_nber.m │ │ └── demo_with_files.m │ ├── docs │ │ └── bosaristoolkit_user_manual.pdf │ ├── fusion │ │ ├── analyse_dev_lin_and_qual_fusion.m │ │ ├── analyse_dev_lin_fusion.m │ │ ├── analyse_eval_lin_and_qual_fusion.m │ │ ├── analyse_eval_lin_fusion.m │ │ ├── apply_linear_fusion_function.m │ │ ├── apply_quality_fusion_function.m │ │ ├── funcs │ │ │ ├── AWB_sparse.m │ │ │ ├── applyQtrans.m │ │ │ ├── assemble_scr.m │ │ │ ├── estimate_target_proportions.m │ │ │ ├── evalAll.m │ │ │ ├── kldivergence_of_systems.m │ │ │ ├── make_classf_from_key.m │ │ │ ├── make_initial_fusion_weights.m │ │ │ ├── qfuser_backoff.m │ │ │ ├── qfuser_linear.m │ │ │ ├── spliceQ.m │ │ │ ├── stackQ.m │ │ │ ├── stackScores.m │ │ │ └── train_qfuser.m │ │ ├── linear_and_quality_fusion_dev_eval.m │ │ ├── linear_and_quality_fusion_dev_eval_from_files.m │ │ ├── linear_and_quality_fusion_scores.m │ │ ├── linear_and_quality_fusion_scores_from_files.m │ │ ├── linear_fusion_dev_eval.m │ │ ├── linear_fusion_dev_eval_from_files.m │ │ ├── linear_fusion_scores.m │ │ ├── linear_fusion_scores_from_files.m │ │ ├── train_linear_fuser.m │ │ ├── train_linear_fusion_function.m │ │ └── train_quality_fusion_function.m │ ├── plotting │ │ ├── dcfplot.m │ │ └── detplot.m │ ├── readme.txt │ ├── stats │ │ ├── area_under_rocch.m │ │ ├── cllr.m │ │ ├── dcf_at_threshold.m │ │ ├── eer.m │ │ ├── effective_prior.m │ │ ├── fastEval.m │ │ ├── fast_actDCF.m │ │ ├── fast_minDCF.m │ │ ├── funcs │ │ │ ├── opt_loglr.m │ │ │ └── rocch2eer.m │ │ ├── min_cllr.m │ │ └── prbep.m │ └── utility_funcs │ │ ├── Optimization_Toolkit │ │ ├── MV2DF │ │ │ ├── 2diff_chain_rules.pdf │ │ │ ├── MV2DF_API_DEFINITION.readme │ │ │ ├── WARNING_bug_when_using_singles.readme │ │ │ ├── deriv_approx │ │ │ │ ├── crstepHess.m │ │ │ │ ├── cstepHess.m │ │ │ │ ├── cstepJacobian.m │ │ │ │ ├── r2stepHess.m │ │ │ │ ├── r4stepHess.m │ │ │ │ ├── rstep.m │ │ │ │ ├── rstepHess.m │ │ │ │ └── rstepJacobian.m │ │ │ ├── discrim_training │ │ │ │ ├── score_system.m │ │ │ │ └── train_system.m │ │ │ ├── function_combination │ │ │ │ ├── compose_mv.m │ │ │ │ ├── dotprod_of_functions.m │ │ │ │ ├── dottimes_of_functions.m │ │ │ │ ├── interleave.m │ │ │ │ ├── outerprod_of_functions.m │ │ │ │ ├── product_of_functions.m │ │ │ │ ├── replace_hessian.m │ │ │ │ ├── scale_and_translate.m │ │ │ │ ├── scale_function.m │ │ │ │ ├── shift_function.m │ │ │ │ ├── stack.m │ │ │ │ └── sum_of_functions.m │ │ │ ├── function_library │ │ │ │ ├── linear │ │ │ │ │ ├── KtimesW.m │ │ │ │ │ ├── WtimesK.m │ │ │ │ │ ├── addOffset.m │ │ │ │ │ ├── addSigmaI.m │ │ │ │ │ ├── columnJofN_fh.m │ │ │ │ │ ├── fusion_mv2df.m │ │ │ │ │ ├── identity_trans.m │ │ │ │ │ ├── scaleColumns.m │ │ │ │ │ ├── scaleRows.m │ │ │ │ │ ├── subvec.m │ │ │ │ │ ├── sumcolumns_fh.m │ │ │ │ │ ├── templates │ │ │ │ │ │ ├── affineTrans.m │ │ │ │ │ │ ├── const_mv2df.m │ │ │ │ │ │ └── linTrans.m │ │ │ │ │ └── transpose_mv2df.m │ │ │ │ ├── multivariate │ │ │ │ │ ├── UtU.m │ │ │ │ │ ├── XtKX.m │ │ │ │ │ ├── bsxtimes.m │ │ │ │ │ ├── calibrateScores.m │ │ │ │ │ ├── dottimes.m │ │ │ │ │ ├── gemm.m │ │ │ │ │ ├── logsoftmax_mv2df.m │ │ │ │ │ ├── logsoftmax_trunc_mv2df.m │ │ │ │ │ ├── mm_special.m │ │ │ │ │ ├── solveChol_AXeqB.m │ │ │ │ │ ├── solve_AXeqB.m │ │ │ │ │ ├── sqdist.m │ │ │ │ │ └── sums_of_squares.m │ │ │ │ ├── scalar │ │ │ │ │ ├── boost_obj.m │ │ │ │ │ ├── brier_obj.m │ │ │ │ │ ├── cllr_obj.m │ │ │ │ │ ├── gauss_ll.m │ │ │ │ │ ├── logdet_chol.m │ │ │ │ │ ├── mce_obj.m │ │ │ │ │ ├── neg_gaussll_taylor.m │ │ │ │ │ ├── sumsquares_penalty.m │ │ │ │ │ ├── templates │ │ │ │ │ │ └── sum_ai_f_of_w_i.m │ │ │ │ │ └── wmlr_obj.m │ │ │ │ ├── test │ │ │ │ │ ├── demo_tracer.m │ │ │ │ │ ├── test_MV2DF.m │ │ │ │ │ ├── test_MV2DF_noHess.m │ │ │ │ │ └── tracer.m │ │ │ │ └── vector │ │ │ │ │ ├── exp_mv2df.m │ │ │ │ │ ├── expneg_mv2df.m │ │ │ │ │ ├── logsigmoid_fh.m │ │ │ │ │ ├── logsumexp_fh.m │ │ │ │ │ ├── logsumsquares_fh.m │ │ │ │ │ ├── neglogsigmoid_fh.m │ │ │ │ │ ├── one_over_one_plus_w_mv2df.m │ │ │ │ │ ├── sigmoid_mv2df.m │ │ │ │ │ ├── square_mv2df.m │ │ │ │ │ ├── templates │ │ │ │ │ └── vectorized_function.m │ │ │ │ │ └── what_goes_in_here.readme │ │ │ └── utils │ │ │ │ ├── inv_lu2.m │ │ │ │ ├── invchol2.m │ │ │ │ ├── invchol_or_lu.m │ │ │ │ └── invchol_taylor.m │ │ ├── TRNCG │ │ │ ├── cg_steihaug.m │ │ │ └── trustregion_newton_cg.m │ │ └── applications │ │ │ └── fusion2class │ │ │ ├── evaluate_objective.m │ │ │ ├── experiments │ │ │ ├── experiment_quality.m │ │ │ └── synth_scores_with_quality.m │ │ │ ├── mv2df_function_library │ │ │ ├── AWB_fh.m │ │ │ ├── addtotranspose_fh.m │ │ │ ├── augmentmatrix_fh.m │ │ │ ├── bsx_col_plus_row.m │ │ │ ├── duplicator_fh.m │ │ │ ├── log_distance_mv2df.m │ │ │ ├── splitvec_fh.m │ │ │ ├── square_distance_mv2df.m │ │ │ ├── subvec_fh.m │ │ │ ├── templates │ │ │ │ └── linTrans_adaptive.m │ │ │ ├── tril_to_symm_fh.m │ │ │ └── xoverxplusalpha.m │ │ │ ├── quality_modules │ │ │ ├── QQtoLLH.m │ │ │ ├── QQtoP.m │ │ │ ├── QtoLLH.m │ │ │ ├── fused_sigmoid.m │ │ │ ├── outerprod_of_sigmoids.m │ │ │ ├── parallel_cal.m │ │ │ ├── parallel_cal_augm.m │ │ │ ├── prmtrzd_sig_log_dist.m │ │ │ ├── prmtrzd_sigmoid.m │ │ │ ├── prod_of_prmtrzd_sigmoids.m │ │ │ ├── prod_sigmoid_logdist.m │ │ │ ├── sigmoid_log_sumsqdist.m │ │ │ └── sigmoid_logdistance.m │ │ │ ├── systems │ │ │ ├── aside │ │ │ │ ├── quality_fuser_v1.m │ │ │ │ ├── quality_fuser_v2.m │ │ │ │ ├── quality_fuser_v3.m │ │ │ │ └── quality_fuser_v4.m │ │ │ ├── linear_fuser.m │ │ │ ├── qfuser_v1.m │ │ │ ├── qfuser_v2.m │ │ │ ├── qfuser_v3.m │ │ │ ├── qfuser_v4.m │ │ │ ├── qfuser_v5.m │ │ │ ├── qfuser_v6.m │ │ │ ├── qfuser_v7.m │ │ │ └── scalibration │ │ │ │ ├── logsumexp_special.m │ │ │ │ ├── scal_fuser.m │ │ │ │ ├── scal_fuser_slow.m │ │ │ │ ├── scal_simple_fh.m │ │ │ │ ├── scalibration_fh.m │ │ │ │ └── scalibration_fragile_fh.m │ │ │ ├── test_binary_classifier.m │ │ │ └── train_binary_classifier.m │ │ ├── data │ │ ├── load_qual_files.m │ │ ├── load_score_files.m │ │ ├── log_error.m │ │ ├── log_info.m │ │ ├── log_warning.m │ │ ├── logprint.m │ │ ├── read_list.m │ │ ├── read_map.m │ │ ├── save_list.m │ │ └── sprintfmatrix.m │ │ ├── det │ │ ├── compute_roc.m │ │ ├── filter_roc.m │ │ ├── pavx.m │ │ ├── rocch.m │ │ └── rocchdet.m │ │ ├── manip │ │ ├── make_objective_function_from_name.m │ │ ├── map_mod_names.m │ │ ├── maplookup.m │ │ └── seg_qual_to_qual.m │ │ └── maths │ │ ├── logit.m │ │ ├── neglogsigmoid.m │ │ ├── probit.m │ │ └── sigmoid.m │ ├── create_BXE_calculator.m │ ├── create_HTPLDA_extractor.m │ ├── create_SGME_calculator.m │ ├── create_TPLDA.m │ ├── create_flat_partition_prior.m │ ├── create_partition_iterator.m │ ├── create_partition_posterior_calculator.m │ ├── create_plain_GME.m │ ├── create_pseudolikelihood_calculator.m │ ├── create_pseudolikelihood_calculator_old.m │ ├── create_scaled_GME.m │ ├── dsolve.m │ ├── equip_ME.m │ ├── example_8_1.m │ ├── labels2blocks.m │ ├── language_recognition │ ├── TLDIvector │ │ ├── create_diagonalized_C.m │ │ ├── experiment.m │ │ ├── getPosteriorNatParams.m │ │ ├── precomputeTT.m │ │ ├── score_TLDIvector.m │ │ ├── stats2ivectors.m │ │ └── train_TLDIvector.m │ ├── T_backend │ │ ├── McClachlan_Krishnan_The_EM_algorithm_and_extensions.pdf │ │ └── create_T_backend.m │ ├── augmentation │ │ ├── augment_i_vectors.m │ │ └── create_augmenting_backend.m │ └── synth_data │ │ ├── rand_fake_Dirichlet.m │ │ ├── rand_ivector.m │ │ └── randgamma.m │ ├── logBell.m │ ├── log_pseudo_likelihood.m │ ├── logsumexp.m │ ├── optimization │ ├── L_BFGS.m │ ├── minpack_cstep.m │ └── minpack_cvsrch.m │ ├── plain_GME_log_expectations.m │ ├── plotGaussian.m │ ├── plotL2dist.m │ ├── scaled_GME_precision.m │ ├── sumlogsoftmax.m │ ├── sumlogsumexp.m │ ├── synthdata │ ├── sample_HTPLDA_database.m │ ├── sample_HTnoise.m │ └── sample_speaker.m │ └── test │ ├── testBackprop.m │ ├── testBackprop_multi.m │ └── testBackprop_rs.m ├── plots ├── SGME_BXE_training_DET_plot.pdf ├── SGME__BXE_training_DCF_plot.pdf ├── SGME__BXE_training_DCF_plot_Train.pdf ├── SGME_cal_PsL_vs_BXE_1000rec.pdf ├── SGME_calibration.pdf ├── SGME_calibration_MCL_vs_PsL.pdf ├── SGME_calibration_PsL_1000recordings.pdf ├── SGME_nu_experiment_a.pdf ├── SGME_nu_experiment_b.pdf ├── SGME_training_DCF_plot.pdf ├── SGME_training_DET_plot.pdf └── Some_SGMEs.pdf └── theory ├── CRE3AB6.tmp ├── CRE3BC7.tmp ├── CRE781E.tmp ├── CRE9D5C.tmp ├── IEEEtran.bst ├── MMEM_5Dec2017.pdf ├── Meta-embeddings Introduction.pdf ├── SGME_BXE_training_DET_plot.pdf ├── SGME__BXE_training_DCF_plot.pdf ├── SGME__BXE_training_DCF_plot_Train.pdf ├── SGME_cal_PsL_vs_BXE_1000rec.pdf ├── SGME_calibration.pdf ├── SGME_calibration_MCL_vs_PsL.pdf ├── SGME_calibration_PsL_1000recordings.pdf ├── SGME_nu_experiment_a.pdf ├── SGME_nu_experiment_b.pdf ├── SGME_training_DCF_plot.pdf ├── SGME_training_DET_plot.pdf ├── Some_SGMEs.pdf ├── algebra_embedding-figure0.pdf ├── algebra_embedding-figure1.pdf ├── algebra_embedding-figure10.pdf ├── algebra_embedding-figure11.pdf ├── algebra_embedding-figure12.pdf ├── algebra_embedding-figure13.pdf ├── algebra_embedding-figure14.pdf ├── algebra_embedding-figure15.pdf ├── algebra_embedding-figure16.pdf ├── algebra_embedding-figure17.pdf ├── algebra_embedding-figure18.pdf ├── algebra_embedding-figure19.pdf ├── algebra_embedding-figure2.pdf ├── algebra_embedding-figure20.pdf ├── algebra_embedding-figure21.pdf ├── algebra_embedding-figure22.pdf ├── algebra_embedding-figure23.pdf ├── algebra_embedding-figure24.pdf ├── algebra_embedding-figure25.pdf ├── algebra_embedding-figure26.pdf ├── algebra_embedding-figure3.pdf ├── algebra_embedding-figure4.pdf ├── algebra_embedding-figure5.pdf ├── algebra_embedding-figure6.pdf ├── algebra_embedding-figure7.pdf ├── algebra_embedding-figure8.pdf ├── algebra_embedding-figure9.pdf ├── algebra_embedding.pdf ├── algebra_embedding.tex ├── composite_likelihood ├── cl4p.pdf └── cl4p.tex ├── embeddings.bib ├── lattice_of_partitions.png ├── lattice_of_partitions.svg ├── meta-embeddings_30Nov17_presentation.pdf └── readme.md /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/bsxfan/meta-embeddings/HEAD/.gitignore -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 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