{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T23:54:28Z","timestamp":1779926068356,"version":"3.53.1"},"reference-count":15,"publisher":"Allerton Press","issue":"3","license":[{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Aut. Control Comp. Sci."],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.3103\/s0146411622030105","type":"journal-article","created":{"date-parts":[[2022,7,14]],"date-time":"2022-07-14T06:08:31Z","timestamp":1657778911000},"page":"253-260","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Research on Multi-Modal Image Target Recognition Based on Asynchronous Depth Reinforcement Learning"],"prefix":"10.3103","volume":"56","author":[{"family":"Guotao Zhao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"family":"Jie Ding","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1627","published-online":{"date-parts":[[2022,7,14]]},"reference":[{"key":"7484_CR1","first-page":"262","volume":"45","author":"M. Yu","year":"2019","unstructured":"Yu, M. and Zhang, H., HDR imaging based on low-rank matrix completion and total variation constraint, Comput. Eng., 2019, vol. 45, no. 4, pp. 262\u2013266.","journal-title":"Comput. Eng."},{"key":"7484_CR2","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1109\/TPAMI.2007.250598","volume":"29","author":"S. Yan","year":"2006","unstructured":"Yan, S., Xu, D., Zhang, B., Zhang, H.-J., Yang, Q., and Lin, S., Graph embedding and extensions: a general framework for dimensionality reduction, IEEE Trans. Pattern Anal. Mach. Intell., 2006, vol. 29, no. 1, pp. 40\u201351.\u00a0https:\/\/doi.org\/10.1109\/TPAMI.2007.250598","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"7484_CR3","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1016\/j.neucom.2008.09.030","volume":"73","author":"B. Li","year":"2009","unstructured":"Li, B., Wang, C., and Huang, D-S., Supervised feature extraction based on orthogonal discriminant projection, Neurocomputing, 2009, vol. 73, nos. 1\u20133, pp. 191\u2013196. \u00a0https:\/\/doi.org\/10.1016\/j.neucom.2008.09.030","journal-title":"Neurocomputing"},{"key":"7484_CR4","doi-asserted-by":"publisher","first-page":"793","DOI":"10.1109\/TCYB.2013.2272642","volume":"44","author":"C. Hou","year":"2014","unstructured":"Hou, C., Nie, F., Li, X., Yi, D., and Wu, Y., Joint embedding learning and sparse regression: a framework for unsupervised feature selection, IEEE Trans. Cybern., 2014, vol. 44, no. 6, pp.\u00a0793\u2013804. \u00a0https:\/\/doi.org\/10.1109\/TCYB.2013.2272642","journal-title":"IEEE Trans. Cybern."},{"key":"7484_CR5","doi-asserted-by":"publisher","first-page":"874","DOI":"10.11772\/j.issn.1001-9081.2018071494","volume":"39","author":"F. Shang","year":"2019","unstructured":"Shang, F., Guo, H., Li, G., Zhang, L., Novel image segmentation method with noise based on one-class SVM, J. Comput. Appl., 2019, vol. 39, no. 3, pp. 874\u2013881. \u00a0https:\/\/doi.org\/10.11772\/j.issn.1001-9081.2018071494","journal-title":"J. Comput. Appl."},{"key":"7484_CR6","first-page":"119","volume":"39","author":"Z. Li","year":"2018","unstructured":"Li, Z., Study on laser three-dimensional motion imaging technology, Laser Mag., 2018, vol.\u00a039, no. 10, pp.\u00a0119\u2013123.","journal-title":"Laser Mag."},{"key":"7484_CR7","first-page":"208","volume":"54","author":"Y. Shan","year":"2018","unstructured":"Shan, Y. and Wang, J., Robust object tracking method of adaptive scale and direction, Comput. Eng. Appl., 2018, vol. 54, no. 21, pp. 208\u2013216.","journal-title":"Comput. Eng. Appl."},{"key":"7484_CR8","doi-asserted-by":"publisher","first-page":"2358","DOI":"10.11999\/JEIT151365","volume":"38","author":"S. Dai","year":"2016","unstructured":"Dai, S., L\u00fc, K., Zhai, R., and Dong, J., Lung segmentation method based on 3D region growing method and improved convex hull algorithm, J. Electron. Inf. Technol., 2016, vol. 38, no. 9, pp. 2358\u20132364. \u00a0https:\/\/doi.org\/10.11999\/JEIT151365","journal-title":"J. Electron. Inf. Technol."},{"key":"7484_CR9","first-page":"213","volume":"35","author":"J. Yang","year":"2014","unstructured":"Yang, J., Zhao, J., Qiang, Y., and Wang, Q., Lung CT image segmentation combined multi-scale watershed method and region growing method, Comput. Eng. Des., 2014, vol. 35, no. 1, pp. 213\u2013217.","journal-title":"Comput. Eng. Des."},{"key":"7484_CR10","doi-asserted-by":"publisher","first-page":"799","DOI":"10.1016\/j.neucom.2015.05.044","volume":"168","author":"S. Dai","year":"2015","unstructured":"Dai, S., Lu, K., Dong, J., Zhang, Y., and Chen, Y., A novel approach of lung segmentation on chest CT images using graph cuts, Neurocomputing, 2015, vol. 168, pp. 799\u2013807.\u00a0https:\/\/doi.org\/10.1016\/j.neucom.2015.05.044","journal-title":"Neurocomputing"},{"key":"7484_CR11","doi-asserted-by":"publisher","first-page":"724","DOI":"10.3724\/SP.J.1001.2009.03317","volume":"20","author":"X. Gong","year":"2009","unstructured":"Gong, X. and Wang, G., 3D face deformable model based on feature points, J. Software, 2009, vol. 20, no. 3, pp. 724\u2013733.","journal-title":"J. Software"},{"key":"7484_CR12","doi-asserted-by":"publisher","unstructured":"Li, Xinxin. and Gong, Xun., 3D face modeling and validation in cross-pose face matching, J. Comput. Appl., 2017, vol. 37, no. 1, pp. 262\u2013267. \u00a0https:\/\/doi.org\/10.11772\/j.issn.1001-9081.2017.01.0262","DOI":"10.11772\/j.issn.1001-9081.2017.01.0262"},{"key":"7484_CR13","first-page":"117","volume":"32","author":"J.Y. Gan","year":"2019","unstructured":"Gan, J.Y., Zhai, Y.K., Xiang, L., Cao, H., He, G., Zeng, J., and Deng, W., Spatial-temporal texture cascaded feature method for face liveness detection, Pattern Recognit. Artif. Intell., 2019, vol. 32, no. 2, pp. 117\u2013123.","journal-title":"Pattern Recognit. Artif. Intell."},{"key":"7484_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_1","volume-title":"CNN image retrieval learns from Bow: unsupervised fine-tuning with hard examples, Computer Vision \u2013 ECCV 2016","author":"F. Radenovi\u0107","year":"2016","unstructured":"Radenovi\u0107, F., Tolias, G., and Chum, O., CNN image retrieval learns from Bow: unsupervised fine-tuning with hard examples, Computer Vision \u2013 ECCV 2016, Leibe, B., Matas, J., Sebe, N., and Welling, M., Eds., Lecture Notes in Computer Science, vol. 9905, Cham: Springer, 2016, pp. 3\u201320. \u00a0https:\/\/doi.org\/10.1007\/978-3-319-46448-0_1"},{"key":"7484_CR15","doi-asserted-by":"publisher","first-page":"251","DOI":"10.3169\/mta.4.251","volume":"4","author":"A. Razavian","year":"2016","unstructured":"Razavian, A., Sullivan, J., and Carlsson, S., Visual instance retrieval with deep convolutional networks, ITE Trans. Media Technol. Appl., 2016, vol. 4, no. 3, pp. 251\u2013258. \u00a0https:\/\/doi.org\/10.3169\/mta.4.251","journal-title":"ITE Trans. Media Technol. Appl."}],"container-title":["Automatic Control and Computer Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.3103\/S0146411622030105.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.3103\/S0146411622030105","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.3103\/S0146411622030105.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,15]],"date-time":"2026-03-15T22:03:19Z","timestamp":1773612199000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.3103\/S0146411622030105"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6]]},"references-count":15,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2022,6]]}},"alternative-id":["7484"],"URL":"https:\/\/doi.org\/10.3103\/s0146411622030105","relation":{},"ISSN":["0146-4116","1558-108X"],"issn-type":[{"value":"0146-4116","type":"print"},{"value":"1558-108X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6]]},"assertion":[{"value":"22 February 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 August 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 August 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 July 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare that they have no conflicts of interest.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"CONFLICT OF INTEREST"}}]}}