{"id":"W2162893209","doi":"10.1109/iscas.1996.541633","title":"Parallel median filtering using cellular neural networks","year":2002,"lang":"en","type":"article","venue":"","topic":"Neural Networks Stability and Synchronization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cellular neural network; Computer science; Artificial neural network; Median filter; Pattern recognition (psychology); Artificial intelligence; Binary number; Template; Separable space; Grayscale; Algorithm; Window (computing); Image processing; Mathematics; Image (mathematics); Arithmetic","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002599395,0.0004024072,0.0004065624,0.0003054604,0.0003410823,0.0006088426,0.0004743125,0.00056881,0.001814583],"category_scores_gemma":[0.0008439763,0.0002258134,0.0004203043,0.0003344182,0.0004092531,0.0007356075,0.0004438726,0.0003843564,0.0004789871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006700656,"about_ca_system_score_gemma":0.0003579026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001673891,"about_ca_topic_score_gemma":0.002453788,"domain_scores_codex":[0.9998438,0.0000213447,0.00001015292,0.00004543901,0.00005928902,0.00001993995],"domain_scores_gemma":[0.999816,0.00006781241,0.00002514605,0.00003348222,0.00004791165,0.000009654686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001690079,0.00004969917,0.001068626,0.0001616142,0.00008243859,0.0002228747,0.0001367864,0.5362142,0.1182149,0.07739101,0.001655778,0.2646331],"study_design_scores_gemma":[0.00001184288,0.00004963863,0.000214825,0.00001049966,0.00002350678,0.00006216562,0.00001733039,0.9448208,0.03416715,0.01279686,0.007812234,0.00001316076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01403134,0.0002370544,0.9827927,0.00008089243,0.00006304537,0.00001948314,0.00002145207,0.0003310323,0.002423062],"genre_scores_gemma":[0.5263531,0.0007378405,0.463944,0.0001341037,0.00009252939,0.0001350601,0.0001053628,0.00007636423,0.008421635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001814583,"threshold_uncertainty_score":0.006070375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03833598327078156,"score_gpt":0.2198896435281753,"score_spread":0.1815536602573937,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}