{"id":"W2040099536","doi":"10.5539/cis.v5n1p97","title":"Rotation and Scaling Image Using PCA","year":2011,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Rotation (mathematics); Artificial intelligence; MATLAB; Scaling; Computer vision; Orientation (vector space); Invariant (physics); Position (finance); Pattern recognition (psychology); Computer graphics (images); Geometry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000353378,0.00104425,0.0006772523,0.001869142,0.0004688835,0.001206741,0.00059399,0.0003809618,0.01051377],"category_scores_gemma":[0.001385071,0.0002872085,0.001031606,0.002913476,0.0004688976,0.0009835801,0.0007600638,0.0007671531,0.006390222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002394301,"about_ca_system_score_gemma":0.0006984014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001870003,"about_ca_topic_score_gemma":0.001331728,"domain_scores_codex":[0.9992977,0.00005766406,0.00003486266,0.0001877794,0.0003565687,0.00006532064],"domain_scores_gemma":[0.9996899,0.00003415602,0.00002696346,0.00006454186,0.000168562,0.00001590471],"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":[0.0001283173,0.00004717226,0.0009922531,0.0003746354,0.00007449147,0.000222012,0.0001928116,0.01273583,0.07757293,0.01271555,0.0186499,0.8762941],"study_design_scores_gemma":[0.00006280896,0.0004383334,0.01794657,0.0001634718,0.0002308327,0.00262218,0.0005448464,0.4565142,0.2078971,0.02548057,0.2878088,0.0002903063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01527674,0.000785269,0.967528,0.000229225,0.0005272299,0.0002074028,0.000768498,0.00452123,0.01015643],"genre_scores_gemma":[0.1340062,0.00228548,0.8420979,0.0001522211,0.0003405873,0.000337246,0.002565608,0.0008332185,0.0173816],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01051377,"threshold_uncertainty_score":0.03517199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03670193880686354,"score_gpt":0.2643493168684027,"score_spread":0.2276473780615391,"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."}}