?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Pattern+Recognition+by+Hierarchical+Temporal+Memory&rft.creator=Maltoni%2C+Prof.+Davide&rft.subject=Computational+Neuroscience&rft.subject=Machine+Vision&rft.subject=Neural+Nets&rft.description=Hierarchical+Temporal+Memory+(HTM)+is+still+largely+unknown+by+the+pattern+recognition+community+and+only+a+few+studies+have+been+published+in+the+scientific+literature.+This+paper+reviews+HTM+architecture+and+related+learning+algorithms+by+using+formal+notation+and+pseudocode+description.+Novel+approaches+are+then+proposed+to+encode+coincidence-group+membership+(fuzzy+grouping)+and+to+derive+temporal+groups+(maxstab+temporal+clustering).+Systematic+experiments+on+three+line-drawing+datasets+have+been+carried+out+to+better+understand+HTM+peculiarities+and+to+extensively+compare+it+against+other+well-know+pattern+recognition+approaches.+Our+results+prove+the+effectiveness+of+the+new+algorithms+introduced+and+that+HTM%2C+even+if+still+in+its+infancy%2C+compares+favorably+with+other+existing+technologies.&rft.date=2011-04-13&rft.type=Departmental+Technical+Report&rft.type=NonPeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F9187%2F1%2FHTM_TR_v1.0.pdf&rft.identifier=++Maltoni%2C+Prof.+Davide++(2011)+Pattern+Recognition+by+Hierarchical+Temporal+Memory.++%5BDepartmental+Technical+Report%5D++++(Unpublished)++&rft.relation=http%3A%2F%2Fcogprints.org%2F9187%2F