- c -

• children : ebl::bbox , ebl::class_node< Tlabel >
• class_id : ebl::bbox
• class_it : ebl::class_datasource< Tnet, Tdata, Tlabel >
• class_it_it : ebl::class_datasource< Tnet, Tdata, Tlabel >
• class_order : ebl::class_datasource< Tnet, Tdata, Tlabel >
• classindex2label : ebl::max_classer< T >
• clblstr : ebl::class_datasource< Tnet, Tdata, Tlabel >
• cnorm_across : ebl::laplacian_pyramid_module< T, Tstate >
• cnorms : ebl::laplacian_pyramid_module< T, Tstate >
• coeff : ebl::subsampling_module< T, Tstate >
• coeffs : ebl::scalerclass_answer< T, Tds1, Tds2, Tstate > , ebl::scalerclass_energy< T, Tstate >
• color_lnorm : ebl::laplacian_pyramid_module< T, Tstate >
• complete_depths : ebl::hierarchy_datasource< Tnet, Tdata, Tlabel >
• conf_ratio : ebl::class_answer< T, Tds1, Tds2, Tstate >
• conf_shift : ebl::class_answer< T, Tds1, Tds2, Tstate >
• conf_type : ebl::class_answer< T, Tds1, Tds2, Tstate >
• confidence : ebl::bbox
• conv : ebl::wavg_pooling_module< T, Tstate >
• convol : ebl::convolution_layer< T, Tstate >
• convolved : ebl::lppooling_module< T, Tstate >
• corners_infered : ebl::detector< T, Tstate >
• corners_inference : ebl::detector< T, Tstate >
• correct : ebl::datasource< Tnet, Tdata >
• count_pickings : ebl::datasource< Tnet, Tdata >
• crop : ebl::subsampling_module< T, Tstate >
• current_depth : ebl::hierarchy_datasource< Tnet, Tdata, Tlabel >