{"id":"W1970819022","doi":"10.1109/tpami.2013.53","title":"Learning to Relate Images","year":2013,"lang":"en","type":"review","venue":"IEEE Transactions on Pattern Analysis and Machine Intelligence","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"ENCODE; Artificial intelligence; Computer science; Pooling; Feature (linguistics); Pattern recognition (psychology); Modalities; Multiplicative function; Bilinear interpolation; Deep learning; Computer vision; Machine learning; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":{"n_in":0,"stratum":"aff_core","weight":5595.2375,"opus":{"tier":"OUT","genre":"conceptual","about_ca":false,"confidence":"high","reason":"Review of relational deep-learning methods for image correspondence; a machine-learning methods contribution in its own domain."},"gpt":{"tier":"OUT","genre":"conceptual","about_ca":false,"confidence":"high","reason":"This reviews machine-learning methods for image relations, not methods or practices of research."},"grok":{"tier":"OUT","genre":"conceptual","about_ca":false,"confidence":"high","reason":"Computer-vision methods review on learning image correspondences; domain ML/vision, not metaresearch."}}}