{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T16:36:53Z","timestamp":1771519013633,"version":"3.50.1"},"reference-count":31,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,9]]},"DOI":"10.1109\/cahpc.2018.8645912","type":"proceedings-article","created":{"date-parts":[[2019,2,21]],"date-time":"2019-02-21T23:19:26Z","timestamp":1550791166000},"page":"330-338","source":"Crossref","is-referenced-by-count":70,"title":["T-SNE-CUDA: GPU-Accelerated T-SNE and its Applications to Modern Data"],"prefix":"10.1109","author":[{"given":"David M.","family":"Chan","sequence":"first","affiliation":[]},{"given":"Roshan","family":"Rao","sequence":"additional","affiliation":[]},{"given":"Forrest","family":"Huang","sequence":"additional","affiliation":[]},{"given":"John F.","family":"Canny","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989381"},{"key":"ref30","first-page":"3221","article-title":"Accelerating t-sne using tree-based algorithms","volume":"15","author":"van der maaten","year":"2014","journal-title":"Journal of Machine Learning Research"},{"key":"ref10","author":"karpathy","year":"0","journal-title":"t-sne visualization of cnn codes"},{"key":"ref11","author":"krizhevsky","year":"2009","journal-title":"Learning multiple layers of features from tiny images"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/FOCS.2017.64"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref14","volume":"2","author":"lecun","year":"2010","journal-title":"AT&T Labs"},{"key":"ref15","first-page":"2579","article-title":"Visualizing data using t-sne","volume":"9","author":"maaten","year":"2008","journal-title":"Journal of Machine Learning Research"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2014.2346578"},{"key":"ref17","first-page":"331","article-title":"Fast approximate nearest neighbors with automatic algorithm configuration","volume":"2","author":"muja","year":"2009","journal-title":"VISAPP"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2017.2744358"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.510"},{"key":"ref4","first-page":"-647i","article-title":"Decaf: A deep convolutional activation feature for generic visual recognition","author":"donahue","year":"2014","journal-title":"Proceedings of the 31st International Conference on International Conference on Machine Learning - Volume 32 ICML'14"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"2319","DOI":"10.1126\/science.290.5500.2319","article-title":"A global geometric framework for nonlinear dimensionality reduction","volume":"290","author":"tenenbaum","year":"2000","journal-title":"Science"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref29","author":"ulyanov","year":"2016","journal-title":"Multicore-tsne"},{"key":"ref5","first-page":"2121","article-title":"Devise: A deep visual-semantic embedding model","volume":"26","author":"frome","year":"2013","journal-title":"Advances in neural information processing systems"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.57"},{"key":"ref7","volume":"2","author":"izadinia","year":"2018","journal-title":"Viser Visual self-regularization"},{"key":"ref2","author":"burtscher","year":"2011","journal-title":"An Efficient CUDA Implementation of the Tree-based Barnes Hut N-Body Algorithm"},{"key":"ref9","author":"johnson","year":"2017","journal-title":"Billion-scale similarity search with GPUs"},{"key":"ref1","author":"arora","year":"2018","journal-title":"An analysis of the t-sne algorithm for data visualization"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2016.2570755"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"2323","DOI":"10.1126\/science.290.5500.2323","article-title":"Nonlinear dimensionality reduction by locally linear embedding","volume":"290","author":"roweis","year":"2000","journal-title":"Science"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1137\/080736417"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.01.105"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref26","author":"simonyan","year":"2014","journal-title":"Very Deep Convolutional Networks for Large-scale Image Recognition"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/T-C.1969.222678"}],"event":{"name":"2018 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)","location":"Lyon, France","start":{"date-parts":[[2018,9,24]]},"end":{"date-parts":[[2018,9,27]]}},"container-title":["2018 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8638685\/8645847\/08645912.pdf?arnumber=8645912","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T05:23:37Z","timestamp":1643261017000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8645912\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,9]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/cahpc.2018.8645912","relation":{},"subject":[],"published":{"date-parts":[[2018,9]]}}}