{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T13:26:55Z","timestamp":1726061215638},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030362034"},{"type":"electronic","value":"9783030362041"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-36204-1_30","type":"book-chapter","created":{"date-parts":[[2019,11,28]],"date-time":"2019-11-28T09:03:54Z","timestamp":1574931834000},"page":"356-368","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Multi-modality Low-Rank Learning Fused First-Order and Second-Order Information for Computer-Aided Diagnosis of Schizophrenia"],"prefix":"10.1007","author":[{"given":"Huijie","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qi","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rui","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daoqiang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,11,29]]},"reference":[{"key":"30_CR1","doi-asserted-by":"publisher","first-page":"1004","DOI":"10.1093\/schbul\/sbm052","volume":"33","author":"RL Bluhm","year":"2007","unstructured":"Bluhm, R.L., et al.: Spontaneous low-frequency fluctuations in the BOLD signal in schizophrenic patients: anomalies in the default network. Schizophr. Bull. 33, 1004\u20131012 (2007)","journal-title":"Schizophr. Bull."},{"key":"30_CR2","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1109\/MSP.2012.2233865","volume":"30","author":"J Richiardi","year":"2013","unstructured":"Richiardi, J., Achard, S., Bunke, H., Van De Ville, D.: Machine learning with brain graphs: predictive modeling approaches for functional imaging in systems neuroscience. IEEE Signal Process. Mag. 30, 58\u201370 (2013). \nhttps:\/\/doi.org\/10.1109\/MSP.2012.2233865","journal-title":"IEEE Signal Process. Mag."},{"key":"30_CR3","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1002\/hbm.22162","volume":"35","author":"S Guo","year":"2014","unstructured":"Guo, S., Kendrick, K.M., Yu, R., Wang, H.L.S., Feng, J.: Key functional circuitry altered in schizophrenia involves parietal regions associated with sense of self. Hum. Brain Mapp. 35, 123\u2013139 (2014). \nhttps:\/\/doi.org\/10.1002\/hbm.22162","journal-title":"Hum. Brain Mapp."},{"key":"30_CR4","doi-asserted-by":"publisher","first-page":"603","DOI":"10.3389\/fnins.2019.00603","volume":"13","author":"Q Zhu","year":"2019","unstructured":"Zhu, Q., Li, H., Huang, J., Xu, X., Guan, D., Zhang, D.: Hybrid functional brain network with first-order and second-order information for computer-aided diagnosis of schizophrenia. Front. Neurosci. 13, 603 (2019). \nhttps:\/\/doi.org\/10.3389\/fnins.2019.00603","journal-title":"Front. Neurosci."},{"key":"30_CR5","unstructured":"Huang, S., et al.: Identifying Alzheimer\u2019s disease-related brain areas from multi-modality neuroimaging data using sparse composite linear discrimination analysis. In: Advances in Neural Information Processing Systems, vol. 1431\u20131439 (2011)"},{"key":"30_CR6","doi-asserted-by":"publisher","first-page":"895","DOI":"10.1016\/j.neuroimage.2011.09.069","volume":"59","author":"D Zhang","year":"2012","unstructured":"Zhang, D., Shen, D.: Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer\u2019s disease. Neuroimage 59, 895\u2013907 (2012). \nhttps:\/\/doi.org\/10.1016\/j.neuroimage.2011.09.069","journal-title":"Neuroimage"},{"key":"30_CR7","doi-asserted-by":"publisher","first-page":"2053","DOI":"10.1109\/TIT.2010.2044061","volume":"56","author":"EJ Cand\u00e8s","year":"2010","unstructured":"Cand\u00e8s, E.J., Tao, T.: The power of convex relaxation: near-optimal matrix completion. IEEE Trans. Inf. Theory 56, 2053\u20132080 (2010)","journal-title":"IEEE Trans. Inf. Theory"},{"key":"30_CR8","doi-asserted-by":"publisher","first-page":"603","DOI":"10.3389\/fnins.2019.00603","volume":"13","author":"Q Zhu","year":"2019","unstructured":"Zhu, Q., Li, H., Huang, J., Xu, X., Guan, D., Zhang, D.: Hybrid functional brain network with first-order and second-order information for computer-aided diagnosis of schizophrenia. Front. Neurosci. 13, 603 (2019). \nhttps:\/\/doi.org\/10.3389\/fnins.2019.00603","journal-title":"Front. Neurosci."},{"key":"30_CR9","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1109\/TPAMI.2012.88","volume":"35","author":"G Liu","year":"2013","unstructured":"Liu, G., Lin, Z., Yan, S., Sun, J., Yu, Y., Ma, Y.: Robust recovery of subspace structures by low-rank representation. IEEE Trans. Pattern Anal. Mach. Intell. 35, 171\u2013184 (2013). \nhttps:\/\/doi.org\/10.1109\/TPAMI.2012.88","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"30_CR10","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1016\/j.neucom.2012.12.012","volume":"111","author":"N Zhang","year":"2013","unstructured":"Zhang, N., Yang, J.: Low-rank representation based discriminative projection for robust feature extraction. Neurocomputing 111, 13\u201320 (2013). \nhttps:\/\/doi.org\/10.1016\/j.neucom.2012.12.012","journal-title":"Neurocomputing"},{"key":"30_CR11","doi-asserted-by":"publisher","first-page":"717","DOI":"10.1007\/s10208-009-9045-5","volume":"9","author":"EJ Cand\u00e8s","year":"2009","unstructured":"Cand\u00e8s, E.J., Recht, B.: Exact matrix completion via convex optimization. Found. Comput. Math. 9, 717\u2013772 (2009). \nhttps:\/\/doi.org\/10.1007\/s10208-009-9045-5","journal-title":"Found. Comput. Math."},{"key":"30_CR12","unstructured":"Fazel, M.: Matrix Rank Minimization with Applications. Dissertation (2002)"},{"key":"30_CR13","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1002\/hbm.22642","volume":"36","author":"B Jie","year":"2015","unstructured":"Jie, B., Zhang, D., Cheng, B., Shen, D.: Manifold regularized multitask feature learning for multimodality disease classification. Hum. Brain Mapp. 36, 489\u2013507 (2015)","journal-title":"Hum. Brain Mapp."},{"key":"30_CR14","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1109\/TPAMI.2012.88","volume":"35","author":"G Liu","year":"2013","unstructured":"Liu, G., Lin, Z., Yan, S., Sun, J., Yu, Y., Ma, Y.: Robust recovery of subspace structures by low-rank representation. IEEE Trans. Pattern Anal. Mach. Intell. 35, 171\u2013184 (2013). \nhttps:\/\/doi.org\/10.1109\/TPAMI.2012.88","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"30_CR15","unstructured":"Wright, J., Ganesh, A., Rao, S., Ma, Y.: Robust principal component analysis: exact recovery of corrupted low-rank matrices, vol. 1, pp. 289\u2013298 (2009). 58"},{"issue":"3","key":"30_CR16","doi-asserted-by":"publisher","first-page":"1671","DOI":"10.1007\/s11063-018-9783-y","volume":"48","author":"Lai Wei","year":"2018","unstructured":"Zhu, C., Wei, L., Zhou, R., Wang, X., Wu, A.: Robust subspace segmentation by self-representation constrained low-rank representation. In: Neural Processing Letters, pp. 1671\u20131691 (2018) \nhttps:\/\/doi.org\/10.1007\/s11063-018-9783-y","journal-title":"Neural Processing Letters"},{"key":"30_CR17","unstructured":"Lin, Z., Chen, M., Wu, L., Ma, Y.: The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices. Eprint Arxiv. 9 (2010)"},{"issue":"7","key":"30_CR18","doi-asserted-by":"publisher","first-page":"1774","DOI":"10.1109\/TPAMI.2018.2847335","volume":"41","author":"Zheng Zhang","year":"2019","unstructured":"Zhang, Z., Liu, L., Shen, F., Shen, H.T., Shao, L.: Binary multi-view clustering. IEEE Trans. Pattern Anal. Mach. Intell. 41, 1 (2018)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"30_CR19","doi-asserted-by":"publisher","first-page":"569","DOI":"10.1137\/080730421","volume":"2","author":"J Yang","year":"2009","unstructured":"Yang, J., Yin, W., Zhang, Y., Wang, Y.: A fast algorithm for edge-preserving variational multichannel image restoration. SIAM J. Imaging Sci. 2, 569\u2013592 (2009)","journal-title":"SIAM J. Imaging Sci."},{"key":"30_CR20","doi-asserted-by":"publisher","first-page":"2585","DOI":"10.1016\/j.patcog.2006.12.002","volume":"40","author":"X Zhang","year":"2007","unstructured":"Zhang, X., Jia, Y.: A linear discriminant analysis framework based on random subspace for face recognition. Pattern Recogn. 40, 2585\u20132591 (2007). \nhttps:\/\/doi.org\/10.1016\/j.patcog.2006.12.002","journal-title":"Pattern Recogn."},{"key":"30_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1961189.1961199","volume":"2","author":"C Chang","year":"2011","unstructured":"Chang, C., Lin, C.: LIBSVM. ACM Trans. Intell. Syst. Technol. 2, 1\u201327 (2011). \nhttps:\/\/doi.org\/10.1145\/1961189.1961199","journal-title":"ACM Trans. Intell. Syst. Technol."},{"key":"30_CR22","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1007\/s00778-010-0189-3","volume":"20","author":"D Cai","year":"2011","unstructured":"Cai, D., He, X., Han, J.: Speed up kernel discriminant analysis. VLDB J. 20, 21\u201333 (2011)","journal-title":"VLDB J."},{"key":"30_CR23","doi-asserted-by":"publisher","first-page":"856","DOI":"10.1016\/j.neuroimage.2011.01.008","volume":"55","author":"D Zhang","year":"2011","unstructured":"Zhang, D., Wang, Y., Zhou, L., Yuan, H., Shen, D.: Multimodal classification of Alzheimer\u2019s disease and mild cognitive impairment. Neuroimage 55, 856\u2013867 (2011). \nhttps:\/\/doi.org\/10.1016\/j.neuroimage.2011.01.008","journal-title":"Neuroimage"},{"key":"30_CR24","doi-asserted-by":"publisher","unstructured":"Foroughi, H., Shakeri, M., Ray, N., Zhang, H.: Face recognition using multi-modal low-rank dictionary learning. In: 2017 IEEE International Conference on Image Processing (ICIP), pp. 1082\u20131086. IEEE (2017). \nhttps:\/\/doi.org\/10.1109\/ICIP.2017.8296448","DOI":"10.1109\/ICIP.2017.8296448"}],"container-title":["Lecture Notes in Computer Science","Intelligence Science and Big Data Engineering. Big Data and Machine Learning"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-36204-1_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,11,28]],"date-time":"2019-11-28T09:12:25Z","timestamp":1574932345000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-36204-1_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030362034","9783030362041"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-36204-1_30","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"29 November 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IScIDE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Science and Big Data Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nanjing","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iscide2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/iscide.njust.edu.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}