{"id":"W2887260487","doi":"10.1049/iet-ipr.2018.5600","title":"Modified mean shift algorithm","year":2018,"lang":"en","type":"article","venue":"IET Image Processing","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto","funders":"","keywords":"Algorithm; Convergence (economics); Sequence (biology); Monotonic function; Mathematics; A priori and a posteriori; Iterative method; Function (biology); Mean-shift; Contrast (vision); Freivalds' algorithm; Computer science; Mathematical optimization; Pattern recognition (psychology); Artificial intelligence","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":[0.0009987002,0.0009389222,0.001585221,0.001385863,0.0007417402,0.001612824,0.002586077,0.002101186,0.006878547],"category_scores_gemma":[0.003568375,0.0005432799,0.001499486,0.001644978,0.0008108914,0.001537961,0.001682609,0.001481897,0.004089087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007741174,"about_ca_system_score_gemma":0.001790675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003381811,"about_ca_topic_score_gemma":0.00332357,"domain_scores_codex":[0.9984264,0.0002989712,0.00009367225,0.0004083624,0.0006245177,0.0001480197],"domain_scores_gemma":[0.9987218,0.0002901954,0.0000817579,0.0002265608,0.0006218962,0.00005767932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004756624,0.00008719684,0.001244997,0.0002734824,0.0002422857,0.0002066843,0.0001854759,0.1840016,0.02337473,0.03623081,0.01417044,0.7395066],"study_design_scores_gemma":[0.00007934368,0.0001165129,0.0006403523,0.00003040115,0.00005364164,0.0003665664,0.00003865218,0.9406524,0.01064965,0.01851504,0.0287953,0.00006206383],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003235669,0.000354117,0.9938029,0.0001023122,0.0001534079,0.00005537383,0.00008566094,0.0005205262,0.001689967],"genre_scores_gemma":[0.08876845,0.0006021243,0.8953514,0.0003022142,0.0002196809,0.0002791042,0.0006390292,0.000336835,0.01350116],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006878547,"threshold_uncertainty_score":0.02301103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01682197372924092,"score_gpt":0.2514979409369103,"score_spread":0.2346759672076694,"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."}}