{"id":"W2376819454","doi":"","title":"Image Retrieval Using SalientPoints and Geometric Hashing","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Geometric transformation; Computer science; Pattern recognition (psychology); Transformation geometry; Image retrieval; Wavelet transform; Invariant (physics); Computer vision; Hash table; Transformation (genetics); Matching (statistics); Content-based image retrieval; Hash function; Salient; Wavelet; Image (mathematics); Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001745133,0.0001697712,0.0001656931,0.0003252056,0.0002835382,0.0003674393,0.000582854,0.00006268236,0.000003179148],"category_scores_gemma":[0.000002050459,0.0001755779,0.00005492477,0.001397099,0.00007799392,0.0007731555,0.0004680722,0.0001440551,0.00002770799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006904949,"about_ca_system_score_gemma":0.00002841595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003548514,"about_ca_topic_score_gemma":6.556992e-7,"domain_scores_codex":[0.9986973,0.00002539757,0.0002912369,0.0005230194,0.0001641052,0.0002989365],"domain_scores_gemma":[0.9991623,0.00007726239,0.0001178798,0.0004426293,0.0001248454,0.00007512319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007898988,0.0002943648,0.000977497,0.00007445119,0.00002400753,0.00001880656,0.0001336603,0.00003888916,0.6811451,0.02865337,0.002409522,0.2862225],"study_design_scores_gemma":[0.0007444049,0.00007313174,0.005497854,0.00004732421,0.00002775978,0.0003073879,0.00001071957,0.01997694,0.6306067,0.04749674,0.2943228,0.0008882868],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008086018,0.0004876567,0.9900195,0.0001720017,0.0000142195,0.000448011,0.00000531385,0.0004467907,0.0003204887],"genre_scores_gemma":[0.02242101,0.00002860477,0.9770675,0.0002164227,0.0001543235,0.00001403661,0.000008532995,0.00001666821,0.0000728525],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2919133,"threshold_uncertainty_score":0.715986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134461478620031,"score_gpt":0.268361865113467,"score_spread":0.2570172503272667,"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."}}