{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T00:05:18Z","timestamp":1730246718761,"version":"3.28.0"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,9]]},"DOI":"10.1109\/icip.2019.8803283","type":"proceedings-article","created":{"date-parts":[[2019,8,26]],"date-time":"2019-08-26T19:32:48Z","timestamp":1566847968000},"page":"3048-3052","source":"Crossref","is-referenced-by-count":6,"title":["Adaptive Inference Using Hierarchical Convolutional Bag-of-Features for Low-Power Embedded Platforms"],"prefix":"10.1109","author":[{"given":"Nikolaos","family":"Passalis","sequence":"first","affiliation":[]},{"given":"Jenni","family":"Raitoharju","sequence":"additional","affiliation":[]},{"given":"Anastasios","family":"Tefas","sequence":"additional","affiliation":[]},{"given":"Moncef","family":"Gabbouj","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.614"},{"key":"ref11","article-title":"Training lightweight deep convolutional neural networks using bag-of-features pooling","author":"passalis","year":"2018","journal-title":"IEEE Trans on Neural Networks and Learning Systems"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.11.014"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995746"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88690-7_52"},{"article-title":"Temporal logistic neural bag-of-features for financial time series forecasting leveraging limit order book data","year":"2019","author":"passalis","key":"ref15"},{"key":"ref16","first-page":"346","article-title":"Spatial pyramid pooling in deep convolutional networks for visual recognition","author":"he","year":"2014","journal-title":"Proc of the European Conf on Computer Vision"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"article-title":"Fashion-MNIST: a novel image dataset for benchmarking machine learning algorithms","year":"2017","author":"xiao","key":"ref19"},{"key":"ref4","article-title":"Distilling the knowledge in a neural network","author":"hinton","year":"2015","journal-title":"Proc NIPS Deep Learning and Representation Learning Workshop"},{"key":"ref3","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding","author":"han","year":"2016","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO.2018.8553186"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_1"},{"article-title":"Elastic neural networks for classification","year":"2018","author":"zhou","key":"ref8"},{"key":"ref7","article-title":"Multi-scale dense networks for resource efficient image classification","author":"huang","year":"2018","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2739340"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref20","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009","journal-title":"Tech Rep"},{"key":"ref22","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc Int Conf Learn Represent"},{"article-title":"Real-time convolutional neural networks for emotion and gender classification","year":"2017","author":"arriaga","key":"ref21"}],"event":{"name":"2019 IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2019,9,22]]},"location":"Taipei, Taiwan","end":{"date-parts":[[2019,9,25]]}},"container-title":["2019 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8791230\/8799366\/08803283.pdf?arnumber=8803283","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T15:19:05Z","timestamp":1658157545000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8803283\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/icip.2019.8803283","relation":{},"subject":[],"published":{"date-parts":[[2019,9]]}}}