000000260 001__ 260
000000260 005__ 20231130114544.0
000000260 0247_ $$2DOI$$a10.6083/M4D21VJ4
000000260 037__ $$aETD
000000260 245__ $$aBiologically inspired visual models by sparse and unsupervised learning
000000260 260__ $$bOregon Health and Science University
000000260 269__ $$a2007
000000260 336__ $$aDissertation
000000260 502__ $$bPh.D.
000000260 540__ $$fCC BY
000000260 542__ $$fIn copyright - single owner
000000260 650__ $$aMachine Learning$$011449
000000260 6531_ $$ashape representation
000000260 6531_ $$aobject  recognition
000000260 6531_ $$aneural networks (computer science)
000000260 6531_ $$aunsupervised learning
000000260 6531_ $$asparse coding
000000260 6531_ $$atransformation invariance
000000260 691__ $$aOGI School of Science and Engineering$$041365
000000260 692__ $$aDepartment of Computer Science and Electrical Engineering$$041404
000000260 7001_ $$aYang, Li
000000260 7001_ $$uOregon Health and Science University$$041354
000000260 8564_ $$96d552a59-e10e-4dee-a83d-3de94f00fb43$$s3921500$$uhttps://digitalcollections.ohsu.edu/record/260/files/260_etd.pdf
000000260 905__ $$a/rest/prod/kh/04/dp/71/kh04dp71b
000000260 909CO $$ooai:digitalcollections.ohsu.edu:260$$pstudent-work
000000260 980__ $$aTheses and Dissertations