機械学習
Dlibには、幅広い機械学習アルゴリズムが含まれています。すべてが高度にモジュール化され、実行が速く、そして清潔で最新のC ++ APIを介して使用するのが簡単になるように設計されています。これは、ロボット工学、組み込み機器、携帯電話、そして大規模な高性能コンピューティング環境など、幅広いアプリケーションで使用されています。あなたの研究でdlibを使っているならば、引用してください:
Davis E. King. DLIB-ML:機械学習ツールキット。 ournal of Machine Learning Research, 2009
@Article{dlib09,
  author = {Davis E. King},
  title = {Dlib-ml: A Machine Learning Toolkit},
  journal = {Journal of Machine Learning Research},
  year = {2009},
  volume = {10},
  pages = {1755-1758},
}
Primary Algorithms
Binary Classification
- auto_train_rbf_classifier
 - rvm_trainer
 - svm_c_ekm_trainer
 - svm_c_linear_dcd_trainer
 - svm_c_linear_trainer
 - svm_c_trainer
 - svm_nu_trainer
 - svm_pegasos
 - train_probabilistic_decision_function
 
Multiclass Classification
Regression
- krls
 - krr_trainer
 - mlp
 - random_forest_regression_trainer
 - rbf_network_trainer
 - rls
 - rr_trainer
 - rvm_regression_trainer
 - svr_linear_trainer
 - svr_trainer
 
Structured Prediction
- Core Tools
 - Problem Instances
 - shape_predictor_trainer
 - structural_assignment_trainer
 - structural_graph_labeling_trainer
 - structural_object_detection_trainer
 - structural_sequence_labeling_trainer
 - structural_sequence_segmentation_trainer
 - structural_track_association_trainer
 - svm_rank_trainer
 
Deep Learning
Clustering
- bottom_up_cluster
 - chinese_whispers
 - find_clusters_using_angular_kmeans
 - find_clusters_using_kmeans
 - kkmeans
 - modularity
 - nearest_center
 - newman_cluster
 - pick_initial_centers
 - segment_number_line
 - spectral_cluster
 
Unsupervised
- cca
 - empirical_kernel_map
 - kcentroid
 - linearly_independent_subset_finder
 - sammon_projection
 - svm_one_class_trainer
 - vector_normalizer
 - vector_normalizer_pca
 
Semi-Supervised/Metric Learning
Reinforcement Learning
Feature Selection
Other Tools
Validation
- average_precision
 - compute_roc_curve
 - cross_validate_assignment_trainer
 - cross_validate_graph_labeling_trainer
 - cross_validate_multiclass_trainer
 - cross_validate_object_detection_trainer
 - cross_validate_ranking_trainer
 - cross_validate_regression_trainer
 - cross_validate_sequence_labeler
 - cross_validate_sequence_segmenter
 - cross_validate_track_association_trainer
 - cross_validate_trainer
 - cross_validate_trainer_threaded
 - equal_error_rate
 - test_assignment_function
 - test_binary_decision_function
 - test_graph_labeling_function
 - test_multiclass_decision_function
 - test_object_detection_function
 - test_ranking_function
 - test_regression_function
 - test_sequence_labeler
 - test_sequence_segmenter
 - test_shape_predictor
 - test_track_association_function
 
Trainer Adapters
- batch
 - batch_cached
 - null_trainer
 - probabilistic
 - reduced
 - reduced2
 - roc_c1_trainer
 - roc_c2_trainer
 - verbose_batch
 - verbose_batch_cached
 
Kernels
- histogram_intersection_kernel
 - linear_kernel
 - offset_kernel
 - polynomial_kernel
 - radial_basis_kernel
 - sigmoid_kernel
 - sparse_histogram_intersection_kernel
 - sparse_linear_kernel
 - sparse_polynomial_kernel
 - sparse_radial_basis_kernel
 - sparse_sigmoid_kernel
 
Function Objects
- assignment_function
 - decision_function
 - distance_function
 - graph_labeler
 - multiclass_linear_decision_function
 - normalized_function
 - one_vs_all_decision_function
 - one_vs_one_decision_function
 - policy
 - probabilistic_decision_function
 - probabilistic_function
 - projection_function
 - random_forest_regression_function
 - sequence_labeler
 - sequence_segmenter
 - track_association_function
 
Data IO
- fix_nonzero_indexing
 - load_image_dataset
 - load_image_dataset_metadata
 - load_libsvm_formatted_data
 - make_bounding_box_regression_training_data
 - save_image_dataset_metadata
 - save_libsvm_formatted_data
 
Miscellaneous
- approximate_distance_function
 - compute_mean_squared_distance
 - count_ranking_inversions
 - fill_lisf
 - find_gamma_with_big_centroid_gap
 - is_assignment_problem
 - is_binary_classification_problem
 - is_forced_assignment_problem
 - is_graph_labeling_problem
 - is_learning_problem
 - is_ranking_problem
 - is_sequence_labeling_problem
 - is_sequence_segmentation_problem
 - is_track_association_problem
 - kernel_matrix
 - learn_platt_scaling
 - process_sample
 - randomize_samples
 - ranking_pair
 - select_all_distinct_labels
 - simplify_linear_decision_function
 




