{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T17:51:15Z","timestamp":1740160275664,"version":"3.37.3"},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2016,4,30]],"date-time":"2016-04-30T00:00:00Z","timestamp":1461974400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"State Scholarship Fund of China","award":["2007104752"],"award-info":[{"award-number":["2007104752"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61370186"],"award-info":[{"award-number":["61370186"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. & Cyber."],"published-print":{"date-parts":[[2017,10]]},"DOI":"10.1007\/s13042-016-0534-y","type":"journal-article","created":{"date-parts":[[2016,4,30]],"date-time":"2016-04-30T08:50:18Z","timestamp":1462006218000},"page":"1643-1654","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["The mean shift method of chaotic sequences in the study of compressive sensing"],"prefix":"10.1007","volume":"8","author":[{"given":"Guoming","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shun","family":"Long","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiheng","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,4,30]]},"reference":[{"key":"534_CR1","unstructured":"Cheng Y (1995) Mean shift, mode seeking, and clustering, Pattern Analysis and Machine Intelligence. IEEE Trans 17(8):790\u2013799"},{"key":"534_CR2","unstructured":"Yu-Ren L, Kuo-Liang C, Chyou-Hwa C, Guei-Yin L, Wang CH (2012) Novel mean-shift based histogram equalization using textured regions. Expert Syst Appl 39(3):2750\u20132758"},{"issue":"7","key":"534_CR3","doi-asserted-by":"crossref","first-page":"2611","DOI":"10.1109\/TIP.2013.2253484","volume":"22","author":"V Estellers","year":"2013","unstructured":"Estellers V, Thiran J-P, Bresson X (2013) Enhanced Compressed Sensing Recovery With Level Set Normals. IEEE Trans Image Process 22(7):2611\u20132626","journal-title":"IEEE Trans Image Process"},{"key":"534_CR4","doi-asserted-by":"crossref","unstructured":"Guo W, Yin W (2010) Edge CS: Edge guided compressive sensing reconstruction, Proc SPIE Visual Commun Image Process 17\u201323","DOI":"10.1117\/12.863354"},{"key":"534_CR5","unstructured":"Senoussaoui M , Kenny P, Stafylakis T, Dumouchel P (2014) A Study of the cosine distance-based mean shift for telephone speech diarization, audio, speech, and language processing. IEEE\/ACM Trans 22(1):217\u2013227"},{"key":"534_CR6","unstructured":"Comaniciu D, Meer P (2002) Mean shift: a robust approach toward feature space analysis, Pattern Analysis and Machine Intelligence. IEEE Trans 24(5):603\u2013619"},{"key":"534_CR7","unstructured":"Mayer A, Greenspan H (2009) An adaptive mean-shift framework for MRI brain segmentation, medical imaging. IEEE Trans 28(8):1238\u20131250"},{"issue":"2","key":"534_CR8","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1109\/TIT.2005.862083","volume":"52","author":"E Candes","year":"2006","unstructured":"Candes E, Romberg J, Tao T (2006) Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information. IEEE Trans Inform Theory 52(2):489\u2013509","journal-title":"IEEE Trans Inform Theory"},{"issue":"4","key":"534_CR9","doi-asserted-by":"crossref","first-page":"1289","DOI":"10.1109\/TIT.2006.871582","volume":"52","author":"D Donoho","year":"2006","unstructured":"Donoho D (2006) Compressed sensing. IEEE Trans Inform Theory 52(4):1289\u20131306","journal-title":"IEEE Trans Inform Theory"},{"issue":"8","key":"534_CR10","doi-asserted-by":"crossref","first-page":"731","DOI":"10.1109\/LSP.2010.2052243","volume":"17","author":"Y Lei","year":"2010","unstructured":"Lei Y, Barbot JP, Gang Z, Hong S (2010) Compressive sensing with chaotic sequence. IEEE Signal Process Lett 17(8):731\u2013734","journal-title":"IEEE Signal Process Lett"},{"key":"534_CR11","unstructured":"Frunzete M, Lei Y, Barbot J, Vlad A (2011) Compressive sensing matrix designed by tent map, for secure data transmission,Signal Processing Algorithms,Architectures,Arrangements,and Applications Conference Proceedings pp 1\u20136"},{"key":"534_CR12","doi-asserted-by":"crossref","unstructured":"Petras I (2011) Fractional-order nonlinear systems: modeling, analysis and simulation, Nonlinear Physical Science","DOI":"10.1007\/978-3-642-18101-6"},{"issue":"1","key":"534_CR13","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1137\/070703983","volume":"1","author":"W Yin","year":"2008","unstructured":"Yin W, Osher S, Darbon J, Goldfarb D (2008) Bregman iterative algorithms for compressed sensing and related problems. SIAM J Imaging Sci 1(1):143\u2013168","journal-title":"SIAM J Imaging Sci"},{"issue":"1","key":"534_CR14","doi-asserted-by":"crossref","first-page":"93","DOI":"10.4310\/CMS.2010.v8.n1.a6","volume":"8","author":"S Osher","year":"2010","unstructured":"Osher S, Mao Y, Dong B, Yin W (2010) Fast linearized bregman iteration for compressive sensing and sparse denoising. Commun Math Sci 8(1):93\u2013111","journal-title":"Commun Math Sci"},{"issue":"2","key":"534_CR15","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1137\/080725891","volume":"2","author":"T Goldstein","year":"2009","unstructured":"Goldstein T, Osher S (2009) The split Bregman method for L1-regularized problems. SIAM J Imaging Sci 2(2):323\u2013343","journal-title":"SIAM J Imaging Sci"},{"issue":"1","key":"534_CR16","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1137\/080733371","volume":"2","author":"JF Cai","year":"2009","unstructured":"Cai JF, Osher S, Shen Z (2009) Linearized Bregman iterations for frame-based image deblurring. SIAM J Imaging Sci 2(1):226\u2013252","journal-title":"SIAM J Imaging Sci"},{"issue":"12","key":"534_CR17","doi-asserted-by":"crossref","first-page":"4655","DOI":"10.1109\/TIT.2007.909108","volume":"53","author":"JA Tropp","year":"2007","unstructured":"Tropp JA, Gilbert AC (2007) Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit. IEEE Trans Inform Theory 53(12):4655\u20134666","journal-title":"IEEE Trans Inform Theory"},{"key":"534_CR18","doi-asserted-by":"crossref","unstructured":"Li P, Wang Q, Zuo W, Zhang L (2013) Log-euclidean kernels for sparse representation and dictionary learning, In ICCV","DOI":"10.1109\/ICCV.2013.202"},{"issue":"6","key":"534_CR19","first-page":"1762","volume":"42","author":"WB Tian","year":"2014","unstructured":"Tian WB, Kang J, Zhang Y, Rui GS, Zhang HB (2014) Weakly matching pursuit denoising recovery for compressed sensing based on kalman filtering. ACTA Electr SINICA 42(6):1762\u20131767","journal-title":"ACTA Electr SINICA"},{"key":"534_CR20","doi-asserted-by":"crossref","unstructured":"Thrampoulidis C, Oymak S, Hassibi B (2015) Recovering structured signals in noise: least-squares meets compressed sensing, compressed sensing and its applications, Springer International Publishing, ISBN:978-3-319-16041-2","DOI":"10.1007\/978-3-319-16042-9_4"},{"issue":"8","key":"534_CR21","first-page":"424","volume":"63","author":"J Tan","year":"2015","unstructured":"Tan J, Ma YT, Baron D (2015) Compressive imaging via approximate message passing with image denoising. IEEE Transa Signal Process 63(8):424\u2013428","journal-title":"IEEE Transa Signal Process"},{"key":"534_CR22","unstructured":"Sermwuthisarn P, Gansawat D, Patanavijit V, Auethavekiat S (2015) Impulsive noise rejection method for compressed measurement signal in compressed sensing. EURASIP J Adv Signal Process pp 1\u201323"},{"key":"534_CR23","doi-asserted-by":"crossref","unstructured":"Lim FL, West GA, Venkatesh S (1997) Use of log polar space for foveation and feature recognition. IEEE Proceed Vision Image Signal Process pp 323\u2013331","DOI":"10.1049\/ip-vis:19971457"},{"key":"534_CR24","doi-asserted-by":"crossref","unstructured":"Ciocoiu IB (2011) Compressed sensing meets the human visual system. Springer Berlin Heidelberg, ISBN:978-3-642-24081-2","DOI":"10.1007\/978-3-642-24082-9_79"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13042-016-0534-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-016-0534-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-016-0534-y","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-016-0534-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,7]],"date-time":"2019-09-07T01:38:06Z","timestamp":1567820286000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13042-016-0534-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,4,30]]},"references-count":24,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2017,10]]}},"alternative-id":["534"],"URL":"https:\/\/doi.org\/10.1007\/s13042-016-0534-y","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"type":"print","value":"1868-8071"},{"type":"electronic","value":"1868-808X"}],"subject":[],"published":{"date-parts":[[2016,4,30]]}}}