{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T20:55:50Z","timestamp":1742936150533,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":26,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642393419"},{"type":"electronic","value":"9783642393426"}],"license":[{"start":{"date-parts":[[2013,1,1]],"date-time":"2013-01-01T00:00:00Z","timestamp":1356998400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-39342-6_27","type":"book-chapter","created":{"date-parts":[[2013,7,1]],"date-time":"2013-07-01T07:51:59Z","timestamp":1372665119000},"page":"246-253","source":"Crossref","is-referenced-by-count":2,"title":["Kernel Fuzzy Similarity Measure-Based Spectral Clustering for Image Segmentation"],"prefix":"10.1007","author":[{"given":"Yifang","family":"Yang","sequence":"first","affiliation":[]},{"given":"Yuping","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Yiu-ming","family":"Cheung","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"27_CR1","unstructured":"Shi, J., Malik, J.: Normalized cuts and image segmentation. In: IEEE Conf. Computer Vision and Pattern Recognition, vol.\u00a03(2), pp. 731\u2013737. IEEE Computer Society (1997)"},{"issue":"4","key":"27_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1177352.1177355","volume":"38","author":"A. Yilmaz","year":"2006","unstructured":"Yilmaz, A., Javed, O., Shah, M.: Object tracking: A survey. ACM Computing Surveys\u00a038(4), 1\u201345 (2006)","journal-title":"ACM Computing Surveys"},{"issue":"4","key":"27_CR3","doi-asserted-by":"publisher","first-page":"1907","DOI":"10.1109\/TSMCB.2004.831165","volume":"34","author":"S.C. Chen","year":"2004","unstructured":"Chen, S.C., Zhang, D.Q.: Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure. IEEE Transactions on Systems Man and Cybernetics Part B: Cybernetics\u00a034(4), 1907\u20131916 (2004)","journal-title":"IEEE Transactions on Systems Man and Cybernetics Part B: Cybernetics"},{"issue":"2","key":"27_CR4","doi-asserted-by":"publisher","first-page":"214","DOI":"10.1109\/TPAMI.2004.1262185","volume":"26","author":"C. Fowlkes","year":"2004","unstructured":"Fowlkes, C., Belongie, S., Chung, F., Malik, J.: Spectral grouping using the Nystr\u00f6m method. IEEE Transactions on Pattern Analysis and Machine Intelligence\u00a026(2), 214\u2013225 (2004)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"8","key":"27_CR5","doi-asserted-by":"publisher","first-page":"888","DOI":"10.1109\/34.868688","volume":"22","author":"J. Shi","year":"2000","unstructured":"Shi, J., Malik, J.: Normalized cuts and image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence\u00a022(8), 888\u2013905 (2000)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"4","key":"27_CR6","doi-asserted-by":"publisher","first-page":"988","DOI":"10.1016\/j.sigpro.2010.10.001","volume":"91","author":"F. Zhao","year":"2011","unstructured":"Zhao, F., Jiao, L.C., Liu, H., Gao, X.B.: A novel fuzzy clustering algorithm with nonlocal adaptive spatial constraint for image segmentation. Signal Processing\u00a091(4), 988\u2013999 (2011)","journal-title":"Signal Processing"},{"key":"27_CR7","doi-asserted-by":"publisher","first-page":"3636","DOI":"10.1016\/j.asoc.2012.05.026","volume":"12","author":"H. Liu","year":"2012","unstructured":"Liu, H., Zhao, F., Jiao, L.: Fuzzy spectral clustering with robust spatial information for image segmentation. Applied Soft Computing\u00a012, 3636\u20133647 (2012)","journal-title":"Applied Soft Computing"},{"issue":"1-3","key":"27_CR8","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1016\/j.neucom.2010.08.021","volume":"74","author":"H.Q. Liu","year":"2011","unstructured":"Liu, H.Q., Jiao, L.C., Zhao, F.: Non-local spatial spectral clustering for image segmentation. Neurocomputing\u00a074(1-3), 461\u2013471 (2011)","journal-title":"Neurocomputing"},{"key":"27_CR9","doi-asserted-by":"crossref","unstructured":"Gou, S.P., Zhuang, X., Jiao, L.C.: Quantum Immune Fast Spectral Clustering for SAR Image Segmentation. IEEE Geoscience and Remote Sensing Letters\u00a09(1) (January 2012)","DOI":"10.1109\/LGRS.2011.2158513"},{"key":"27_CR10","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1016\/j.knosys.2011.11.010","volume":"28","author":"W. Chen","year":"2012","unstructured":"Chen, W., Feng, G.: Spectral clustering with discriminant cuts. Knowledge-Based Systems\u00a028, 27\u201337 (2012)","journal-title":"Knowledge-Based Systems"},{"key":"27_CR11","doi-asserted-by":"publisher","first-page":"1391","DOI":"10.1016\/j.neucom.2010.12.008","volume":"74","author":"N. Rebagliati","year":"2011","unstructured":"Rebagliati, N., Verri, A.: Spectral clustering with more than K eigenvectors. Neurocomputing\u00a074, 1391\u20131401 (2011)","journal-title":"Neurocomputing"},{"key":"27_CR12","doi-asserted-by":"publisher","first-page":"674","DOI":"10.1109\/34.927466","volume":"23","author":"M.C. Su","year":"2001","unstructured":"Su, M.C., Chou, C.H.: A modied version of the K-means algorithm with a distance based on cluster symmetry. IEEE Trans. Pattern Anal. Mach. Intell.\u00a023, 674\u2013680 (2001)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"27_CR13","unstructured":"Zelnik-Manor, L., Perona, P.: Self-tuning spectral clustering. In: Advances in Eighteenth Neural Information Processing Systems (NIPS), Vancouver, Canada, pp. 1601\u20131608 (2004)"},{"issue":"4","key":"27_CR14","doi-asserted-by":"publisher","first-page":"607","DOI":"10.1016\/j.patcog.2004.09.006","volume":"38","author":"D.W. Kim","year":"2005","unstructured":"Kim, D.W., Lee, K.Y., Lee, D., Lee, K.H.: Evaluation of the performance of clustering algorithms in kernel-induced feature space. Pattern Recognit.\u00a038(4), 607\u2013611 (2005)","journal-title":"Pattern Recognit."},{"issue":"25","key":"27_CR15","doi-asserted-by":"publisher","first-page":"1445","DOI":"10.1049\/el:20073093","volume":"43","author":"D. Graves","year":"2007","unstructured":"Graves, D., Pedrycz, W.: Performance of kernel-based fuzzy clustering. Electron. Lett.\u00a043(25), 1445\u20131446 (2007)","journal-title":"Electron. Lett."},{"issue":"4","key":"27_CR16","doi-asserted-by":"publisher","first-page":"522","DOI":"10.1016\/j.fss.2009.10.021","volume":"161","author":"D. Graves","year":"2010","unstructured":"Graves, D., Pedrycz, W.: Kernel-based fuzzy clustering and fuzzy clustering: A comparative experimental study. Fuzzy Sets Syst.\u00a0161(4), 522\u2013543 (2010)","journal-title":"Fuzzy Sets Syst."},{"issue":"5","key":"27_CR17","doi-asserted-by":"publisher","first-page":"1263","DOI":"10.1109\/TSMCB.2011.2124455","volume":"41","author":"L. Chen","year":"2011","unstructured":"Chen, L., Chen, C.L.P., Lu, M.: A Multiple-Kernel Fuzzy C-Means Algorithm for Image Segmentation. IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics\u00a041(5), 1263\u20131274 (2011)","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics"},{"issue":"1","key":"27_CR18","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.artmed.2004.01.012","volume":"32","author":"D.Q. Zhang","year":"2004","unstructured":"Zhang, D.Q., Chen, S.C.: A novel kernelized fuzzy C-means algorithm with application in medical image segmentation. Artif. Intell. Med.\u00a032(1), 37\u201350 (2004)","journal-title":"Artif. Intell. Med."},{"key":"27_CR19","doi-asserted-by":"publisher","first-page":"1750","DOI":"10.1016\/j.patcog.2011.02.009","volume":"44","author":"D.-M. Tsai","year":"2011","unstructured":"Tsai, D.-M., Lin, C.-C.: Fuzzy C-means based clustering for linearly and nonlinearly separable data. Pattern Recognition\u00a044, 1750\u20131760 (2011)","journal-title":"Pattern Recognition"},{"key":"27_CR20","doi-asserted-by":"publisher","first-page":"352","DOI":"10.1016\/j.patrec.2010.09.014","volume":"32","author":"X. Zhang","year":"2011","unstructured":"Zhang, X., Li, J., Yu, H.: Local density adaptive similarity measurement for spectral clustering. Pattern Recognition Letters\u00a032, 352\u2013358 (2011)","journal-title":"Pattern Recognition Letters"},{"issue":"4","key":"27_CR21","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1109\/TPAMI.2003.1190577","volume":"25","author":"B. Fischer","year":"2003","unstructured":"Fischer, B., Buhmann, J.M.: Path-based clustering for grouping of smooth curves and texture segmentation. IEEE Trans. Pattern Anal. Machine Intell.\u00a025(4), 513\u2013518 (2003)","journal-title":"IEEE Trans. Pattern Anal. Machine Intell."},{"issue":"1","key":"27_CR22","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1016\/j.patcog.2007.04.010","volume":"41","author":"H. Chang","year":"2008","unstructured":"Chang, H., Yeung, D.-Y.: Robust path-based spectral clustering. Pattern Recognit.\u00a041(1), 191\u2013203 (2008)","journal-title":"Pattern Recognit."},{"key":"27_CR23","doi-asserted-by":"publisher","first-page":"701","DOI":"10.1016\/j.dsp.2011.07.002","volume":"21","author":"F. Zhao","year":"2011","unstructured":"Zhao, F., Liu, H., Jiao, L.: Spectral clustering with fuzzy similarity measure. Digital Signal Processing\u00a021, 701\u2013709 (2011)","journal-title":"Digital Signal Processing"},{"key":"27_CR24","unstructured":"Zeyu, L., Shiwei, T., Jing, X., Jun, J.: Modified FCM clustering based on kernel mapping. In: Proc. of the Internat. Society for Optical Engineering, vol.\u00a04554, pp. 241\u2013245 (2001)"},{"key":"27_CR25","doi-asserted-by":"publisher","first-page":"522","DOI":"10.1016\/j.fss.2009.10.021","volume":"161","author":"D. Graves","year":"2010","unstructured":"Graves, D., Pedrycz, W.: Kernel-based fuzzy clustering and fuzzy clustering: A comparative experimental study. Fuzzy Sets and Systems\u00a0161, 522\u2013543 (2010)","journal-title":"Fuzzy Sets and Systems"},{"key":"27_CR26","unstructured":"Bach, F., Jordan, M.: Learning spectral clustering. In: Proceedings of NIPS 2003, pp. 305\u2013312 (2003)"}],"container-title":["Lecture Notes in Computer Science","Human-Computer Interaction. Towards Intelligent and Implicit Interaction"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-39342-6_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,2,22]],"date-time":"2020-02-22T21:31:26Z","timestamp":1582407086000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-39342-6_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642393419","9783642393426"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-39342-6_27","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2013]]}}}