{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,17]],"date-time":"2025-09-17T06:12:10Z","timestamp":1758089530145,"version":"3.44.0"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,22]],"date-time":"2025-06-22T00:00:00Z","timestamp":1750550400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,22]],"date-time":"2025-06-22T00:00:00Z","timestamp":1750550400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100020950","name":"National Science and Technology Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100020950","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,22]]},"DOI":"10.1109\/dac63849.2025.11133320","type":"proceedings-article","created":{"date-parts":[[2025,9,15]],"date-time":"2025-09-15T17:35:41Z","timestamp":1757957741000},"page":"1-7","source":"Crossref","is-referenced-by-count":0,"title":["Segmented Angular Pre-Processing for Accurate and Efficient In-Memory Vector Similarity Search"],"prefix":"10.1109","author":[{"given":"Chi-Tse","family":"Huang","sequence":"first","affiliation":[{"name":"Graduate Institute of Electronics Engineering, National Taiwan University,Taipei,Taiwan"}]},{"given":"Jen-Chieh","family":"Wang","sequence":"additional","affiliation":[{"name":"Graduate Institute of Electronics Engineering, National Taiwan University,Taipei,Taiwan"}]},{"given":"Hsiang-Yun","family":"Cheng","sequence":"additional","affiliation":[{"name":"Research Center for Information Technology Innovation, Academia Sinica,Taipei,Taiwan"}]},{"given":"An-Yeu Andy","family":"Wu","sequence":"additional","affiliation":[{"name":"Graduate Institute of Electronics Engineering, National Taiwan University,Taipei,Taiwan"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1842","article-title":"Meta-learning with memory-augmented neural networks","volume-title":"Int. Conf. Machine Learning (ICML)","author":"Santoro"},{"key":"ref2","article-title":"Matching networks for one shot learning","author":"Vinyals","year":"2016","journal-title":"Advances in Neural Information Processing Syst"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2909204"},{"key":"ref4","first-page":"9459","article-title":"Retrieval-augmented generation for knowledgeintensive nlp tasks","author":"Lewis","year":"2020","journal-title":"Advances in Neural Information Processing Syst. (NeurIPS)"},{"key":"ref5","first-page":"1","article-title":"X-mann: A crossbar based architecture for memory augmented neural networks","volume-title":"IEEE\/ACM Design Autom. Conf. (DAC)","author":"Ranjan"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO56248.2022.00058"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2018.2797690"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.23919\/DATE.2019.8715198"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3299874.3319450"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.23919\/DATE58400.2024.10546659"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-22364-0"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-022-23116-w"},{"key":"ref13","first-page":"1","article-title":"One-shot learning with memory-augmented neural networks using a 64-kbit, 118 GOPS\/W RRAM-based non-volatile associative memory","volume-title":"IEEE Symp. VLSI Technology","author":"Haitong"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TED.2021.3110464"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2022.3197694"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.23919\/DATE54114.2022.9774572"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3296957.3173171"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.23919\/DATE.2017.7927219"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMAG.2017.2703863"},{"issue":"1","key":"ref20","first-page":"1","article-title":"Nvsim-cam: a circuit-level simulator for emerging nonvolatile memory based content-addressable memory","volume-title":"IEEE\/ACM Int. Conf. on Computer-Aided Design (ICCAD)","volume":"13","author":"Shuangchen"},{"key":"ref21","first-page":"1685","article-title":"Deep residual learning for image recognition","volume-title":"Proceedings of the IEEE\/CVF Conf. Computer Vision and Pattern Recognition (CVPR)","author":"Kaiming"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ISLPED52811.2021.9502488"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2018.2889225"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref25","article-title":"UCI","author":"Bache","year":"2013","journal-title":"Machine Learning Repository"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA53966.2022.00021"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/IEDM19573.2019.8993491"}],"event":{"name":"2025 62nd ACM\/IEEE Design Automation Conference (DAC)","start":{"date-parts":[[2025,6,22]]},"location":"San Francisco, CA, USA","end":{"date-parts":[[2025,6,25]]}},"container-title":["2025 62nd ACM\/IEEE Design Automation Conference (DAC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11132383\/11132091\/11133320.pdf?arnumber=11133320","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,16]],"date-time":"2025-09-16T05:49:31Z","timestamp":1758001771000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11133320\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,22]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/dac63849.2025.11133320","relation":{},"subject":[],"published":{"date-parts":[[2025,6,22]]}}}