{"id":"W2156343115","doi":"10.1109/ciisp.2007.369207","title":"Opposition-Based Window Memoization for Morphological Algorithms","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Memoization; Computer science; Algorithm; Speedup; Opposition (politics); Pixel; Artificial intelligence; Parallel computing; Parsing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003757302,0.00008181522,0.00008525656,0.00007317995,0.00009214486,0.00005508599,0.0003078162,0.00006114709,0.00001722485],"category_scores_gemma":[0.00007625279,0.00006589398,0.00005435012,0.0002677373,0.00002691346,0.0003481123,0.00004028984,0.00004962621,0.000009225407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003269381,"about_ca_system_score_gemma":0.00002248134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002761154,"about_ca_topic_score_gemma":7.932717e-7,"domain_scores_codex":[0.999239,0.00001134843,0.0001578995,0.0002420686,0.0001390699,0.0002106268],"domain_scores_gemma":[0.9993324,0.0001929638,0.00004376805,0.000226446,0.0001399108,0.00006452804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005445548,0.0002355419,0.0003322608,0.00001883311,0.0000102087,0.00007325093,0.00005137678,0.000145677,0.08756007,0.09955557,0.003239584,0.8087232],"study_design_scores_gemma":[0.0003711979,0.0002894418,0.0006244502,0.00000678811,0.000002801087,0.00001281064,0.00000550663,0.0437853,0.9329397,0.01704888,0.004750357,0.0001627865],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002924707,0.00002286204,0.9968162,0.000502273,0.00008206237,0.0002844317,0.000001778355,0.0005327543,0.001465189],"genre_scores_gemma":[0.1993199,0.000002744232,0.7988053,0.00161773,0.00005607065,0.00001423932,0.00001049396,0.000004898812,0.0001686634],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8453796,"threshold_uncertainty_score":0.2687078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02711609285581986,"score_gpt":0.32373196024985,"score_spread":0.2966158673940302,"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."}}