{"id":"W1528124672","doi":"10.1007/978-3-642-15549-9_41","title":"Anomalous Behaviour Detection Using Spatiotemporal Oriented Energies, Subset Inclusion Histogram Comparison and Event-Driven Processing","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":91,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Histogram; Anomaly detection; Representation (politics); Event (particle physics); Set (abstract data type); Focus (optics); Artificial intelligence; Range (aeronautics); Pattern recognition (psychology); Image processing; Image (mathematics); Data mining","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":[0.0006046904,0.0005369593,0.000861148,0.002274556,0.0002967728,0.0009815234,0.000888498,0.0003736381,0.001377205],"category_scores_gemma":[0.001570586,0.0002486244,0.0006105283,0.002169305,0.0002857339,0.0009653934,0.0005753625,0.0004640697,0.0003981542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002961262,"about_ca_system_score_gemma":0.0003497679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001222207,"about_ca_topic_score_gemma":0.001782682,"domain_scores_codex":[0.9996259,0.00004167902,0.00003096761,0.00007364636,0.0001892448,0.0000384958],"domain_scores_gemma":[0.9991717,0.0003363503,0.0001070093,0.00009440247,0.0002503494,0.00004019286],"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":[0.0007045015,0.0004273647,0.01041246,0.0001960267,0.0001937399,0.0002940186,0.0001415802,0.06476546,0.1008595,0.006778963,0.00201786,0.8132085],"study_design_scores_gemma":[0.00001452541,0.0001282772,0.01278002,0.00001150348,0.00005780805,0.0003999467,0.00007411645,0.9437533,0.03425431,0.007251443,0.001238979,0.00003570739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09072823,0.0001818291,0.9059617,0.00006513564,0.00005217037,0.00007092646,0.0002057236,0.00161883,0.001115491],"genre_scores_gemma":[0.597603,0.0002135847,0.3992002,0.00003477956,0.00005086107,0.0000728331,0.0007008142,0.0002329163,0.001891113],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002274556,"threshold_uncertainty_score":0.004607201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01538827837821252,"score_gpt":0.2716181045001991,"score_spread":0.2562298261219866,"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."}}