{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T00:10:30Z","timestamp":1730247030023,"version":"3.28.0"},"reference-count":16,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,10]]},"DOI":"10.1109\/icip40778.2020.9190888","type":"proceedings-article","created":{"date-parts":[[2020,9,30]],"date-time":"2020-09-30T20:45:18Z","timestamp":1601498718000},"page":"3060-3064","source":"Crossref","is-referenced-by-count":0,"title":["Lightweight Neural Networks From PCA &amp; LDA Based Distilled Dense Neural Networks"],"prefix":"10.1109","author":[{"given":"Mohamed El Amine","family":"Seddik","sequence":"first","affiliation":[]},{"given":"Hassane","family":"Essafi","sequence":"additional","affiliation":[]},{"given":"Abdallah","family":"Benzine","sequence":"additional","affiliation":[]},{"given":"Mohamed","family":"Tamaazousti","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","article-title":"Joint learning of pretrained and random units for domain adaptation in part-of-speech tagging","author":"meftah","year":"2019","journal-title":"arXiv preprint arXiv 1904 01870"},{"key":"ref11","article-title":"A kernel random matrix-based approach for sparse PCA","author":"amine seddik","year":"2019","journal-title":"International Conference on Learning Representations"},{"key":"ref12","first-page":"7482","article-title":"Multitask learning using uncertainty to weigh losses for scene geometry and semantics","author":"kendall","year":"2018","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3233\/AIC-170729"},{"journal-title":"The MNIST Database of Handwritten Digits","year":"1998","author":"yann","key":"ref14"},{"key":"ref15","article-title":"Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms","author":"xiao","year":"2017","journal-title":"arXiv preprint arXiv 1708 07747"},{"key":"ref16","first-page":"1","article-title":"Convolutional deep belief networks on cifar-10","volume":"40","author":"krizhevsky","year":"2010","journal-title":"Unpublished manuscript"},{"key":"ref4","first-page":"1","article-title":"Edge ai: A vision for distributed, edge-native artificial intelligence in future 6g networks","author":"lov\u00e9n","year":"2019","journal-title":"The 1st 6G Wireless Summit"},{"key":"ref3","article-title":"Machine learning at the network edge: A survey","author":"murshed","year":"2019","journal-title":"arXiv preprint arXiv 1908 00310"},{"key":"ref6","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding","author":"han","year":"2015","journal-title":"arXiv preprint arXiv 1510 00149"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CSCI46756.2018.00177"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.754"},{"key":"ref7","article-title":"Improved knowledge distillation via teacher assistant: Bridging the gap between student and teacher","author":"mirzadeh","year":"2019","journal-title":"arXiv preprint arXiv 1902 05023"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2019.1800543"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2017.9"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2913857"}],"event":{"name":"2020 IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2020,10,25]]},"location":"Abu Dhabi, United Arab Emirates","end":{"date-parts":[[2020,10,28]]}},"container-title":["2020 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"https:\/\/linproxy.fan.workers.dev:443\/http\/xplorestaging.ieee.org\/ielx7\/9184803\/9190635\/09190888.pdf?arnumber=9190888","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T00:12:45Z","timestamp":1656375165000},"score":1,"resource":{"primary":{"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/ieeexplore.ieee.org\/document\/9190888\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10]]},"references-count":16,"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/doi.org\/10.1109\/icip40778.2020.9190888","relation":{},"subject":[],"published":{"date-parts":[[2020,10]]}}}