{"id":"W2116500412","doi":"10.1109/ccece.2004.1347639","title":"Joint blind deconvolution, fusion and classification of multi-frame imagery","year":2004,"lang":"en","type":"article","venue":"","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Joint (building); Computer science; Artificial intelligence; Deconvolution; Frame (networking); Blind deconvolution; Computer vision; Fusion; Sensor fusion; Pattern recognition (psychology); Algorithm; Engineering; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001333992,0.0006848433,0.001141072,0.0008158587,0.0003766654,0.000894926,0.00114297,0.001286127,0.0008611698],"category_scores_gemma":[0.002637131,0.000404843,0.0008980309,0.0006088165,0.0008296707,0.00150369,0.000945433,0.000921223,0.0005893133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005796126,"about_ca_system_score_gemma":0.001199855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002148772,"about_ca_topic_score_gemma":0.003167148,"domain_scores_codex":[0.9991015,0.0001391129,0.00005357978,0.0001867878,0.000433591,0.00008543566],"domain_scores_gemma":[0.9989437,0.0002325018,0.0002204726,0.0002806305,0.0002789622,0.00004365735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005586733,0.0001600879,0.001286375,0.00032769,0.0001204707,0.0001817348,0.0001852857,0.1437962,0.2105381,0.02443315,0.002040386,0.6163718],"study_design_scores_gemma":[0.00001788745,0.00009986536,0.0008911273,0.00001417524,0.00003313012,0.0002469952,0.00001285714,0.89054,0.09865485,0.005841083,0.003605484,0.00004266065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006077504,0.0001054493,0.993264,0.00003717011,0.00001702278,0.00001345591,0.00001902066,0.0001693399,0.0002970724],"genre_scores_gemma":[0.09816299,0.00016758,0.8999639,0.00004478231,0.00004186306,0.00004396102,0.0000937135,0.00005588262,0.001425315],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002148772,"threshold_uncertainty_score":0.007054925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03166858884853287,"score_gpt":0.2683716751712594,"score_spread":0.2367030863227265,"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."}}