{"id":"W2567570029","doi":"10.1109/iros.2016.7759095","title":"Illumination invariant representation of natural images for visual place recognition","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Artificial intelligence; Invariant (physics); Computer science; Computer vision; Representation (politics); Pattern recognition (psychology); Natural (archaeology); Mathematics; Geology","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":[0.000317735,0.0007916435,0.0007764905,0.002489141,0.0002358757,0.0008999591,0.0009164761,0.0005236908,0.002218258],"category_scores_gemma":[0.001223608,0.0002333024,0.0008593844,0.002579812,0.0004347691,0.001280377,0.0006668294,0.0008547234,0.00198002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000445384,"about_ca_system_score_gemma":0.0005912249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001458859,"about_ca_topic_score_gemma":0.002188653,"domain_scores_codex":[0.9995742,0.00006724019,0.00002509051,0.0001237531,0.0001510771,0.00005852078],"domain_scores_gemma":[0.9995825,0.00006410616,0.00007207112,0.0001289518,0.0001286602,0.00002368307],"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":[0.0001950218,0.0001378635,0.0008201568,0.0002264615,0.00007292807,0.0001304031,0.00006546919,0.02300464,0.09355789,0.007206496,0.008475128,0.8661077],"study_design_scores_gemma":[0.00003504549,0.0003108464,0.006208446,0.00006352264,0.0001160197,0.001227446,0.0002391027,0.8049706,0.1377154,0.0229946,0.02600097,0.0001179079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01593341,0.0006207617,0.9790919,0.00009816198,0.000091307,0.00007363753,0.0005326023,0.002229436,0.001328726],"genre_scores_gemma":[0.2965767,0.001671478,0.6939837,0.0002345987,0.0002321236,0.0002270122,0.003764709,0.0004263585,0.002883358],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002489141,"threshold_uncertainty_score":0.007420778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02678807603619779,"score_gpt":0.3298414178909755,"score_spread":0.3030533418547777,"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."}}