{"id":"W2136085826","doi":"10.1109/igarss.1989.578751","title":"Eigenvector Projection Transformation and Dimension Size Reduction in Remote Sensing Data Processing","year":2005,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Dimensionality reduction; Transformation (genetics); Reduction (mathematics); Dimension (graph theory); Projection (relational algebra); Computer science; Eigenvalues and eigenvectors; Data reduction; Artificial intelligence; Computer vision; Mathematics; Algorithm; Data mining; Physics; Geometry; Combinatorics","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":[0.002875182,0.0008703666,0.0006959225,0.001553228,0.0006795041,0.001111546,0.0004563303,0.0004025583,0.003134232],"category_scores_gemma":[0.0122353,0.0004012086,0.0007179128,0.00350709,0.000967621,0.001554513,0.0009962554,0.0009484008,0.001260991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003500873,"about_ca_system_score_gemma":0.001045566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001663335,"about_ca_topic_score_gemma":0.001621098,"domain_scores_codex":[0.996396,0.001781701,0.0001888877,0.0003887547,0.001127266,0.0001174245],"domain_scores_gemma":[0.9961139,0.002163087,0.0001656259,0.0004850697,0.001021089,0.00005113451],"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":[0.0002773397,0.0001694658,0.002525285,0.0003167992,0.00009193527,0.0002376954,0.000500824,0.05260934,0.04230398,0.0362201,0.005147792,0.8595994],"study_design_scores_gemma":[0.000098577,0.0004488499,0.01085087,0.00006739526,0.0001030818,0.0009641895,0.0003986202,0.7721021,0.09904628,0.08057371,0.03516731,0.0001791124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01367852,0.0001690954,0.9837536,0.0001209158,0.00005434611,0.0001304896,0.0001157462,0.0006820675,0.001295114],"genre_scores_gemma":[0.05718091,0.000228012,0.9405621,0.0000312378,0.00004945511,0.0002461887,0.0003055779,0.0002064664,0.001190128],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003134232,"threshold_uncertainty_score":0.01520556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02719500265045207,"score_gpt":0.2453373316485989,"score_spread":0.2181423289981468,"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."}}