{"id":"W2374686563","doi":"","title":"Wavelet Multi—scale Features Clustering Based Image Retrieval","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Cluster analysis; Pattern recognition (psychology); Wavelet; Image retrieval; Image texture; Wavelet transform; Computer vision; Histogram; Image (mathematics); Image processing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004422496,0.0005163916,0.00125092,0.002561039,0.0004735324,0.0009283579,0.001174738,0.0008521943,0.002000176],"category_scores_gemma":[0.001037516,0.0003049751,0.001078431,0.002318736,0.0003412485,0.001420965,0.0005760748,0.0004895789,0.002104151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000606505,"about_ca_system_score_gemma":0.0004818038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002620231,"about_ca_topic_score_gemma":0.002023809,"domain_scores_codex":[0.999126,0.00008380633,0.0000455622,0.0001546314,0.0005207142,0.0000691582],"domain_scores_gemma":[0.9995679,0.00005366894,0.0000468307,0.00008629287,0.0002267138,0.00001853753],"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":[0.0002434808,0.0001684891,0.0007094272,0.0002928342,0.0001314973,0.00015112,0.00008820804,0.03008578,0.1602104,0.006250064,0.008304333,0.7933643],"study_design_scores_gemma":[0.00006562056,0.00030551,0.004410931,0.00002816196,0.0001292983,0.000969753,0.0001090239,0.851015,0.1115922,0.00540949,0.02582235,0.0001426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01324821,0.000900865,0.9822373,0.0001328644,0.0001049553,0.0001055537,0.0001160276,0.001309629,0.001844633],"genre_scores_gemma":[0.1782087,0.001288635,0.8107635,0.0001895651,0.0002032583,0.0001643178,0.0009352548,0.0002116549,0.008035089],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002620231,"threshold_uncertainty_score":0.006691277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008094034084350783,"score_gpt":0.2409877872503792,"score_spread":0.2328937531660284,"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."}}