{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T07:42:42Z","timestamp":1743061362600,"version":"3.40.3"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030110178"},{"type":"electronic","value":"9783030110185"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-11018-5_43","type":"book-chapter","created":{"date-parts":[[2019,1,24]],"date-time":"2019-01-24T05:50:50Z","timestamp":1548309050000},"page":"534-549","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Discriminative Feature Selection by Optimal Manifold Search for Neoplastic Image Recognition"],"prefix":"10.1007","author":[{"given":"Hayato","family":"Itoh","sequence":"first","affiliation":[]},{"given":"Yuichi","family":"Mori","sequence":"additional","affiliation":[]},{"given":"Masashi","family":"Misawa","sequence":"additional","affiliation":[]},{"given":"Masahiro","family":"Oda","sequence":"additional","affiliation":[]},{"given":"Shin-Ei","family":"Kudo","sequence":"additional","affiliation":[]},{"given":"Kensaku","family":"Mori","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,1,23]]},"reference":[{"key":"43_CR1","volume-title":"Optimization Algorithms on Matrix Manifolds","author":"PA Absil","year":"2009","unstructured":"Absil, P.A., Mahony, R., Sepulchre, R.: Optimization Algorithms on Matrix Manifolds. Princeton University Press, Princeton (2009)"},{"key":"43_CR2","volume-title":"Pattern Recognition and Machine Learning","author":"CM Bishop","year":"2006","unstructured":"Bishop, C.M.: Pattern Recognition and Machine Learning. Springer, New York (2006)"},{"key":"43_CR3","doi-asserted-by":"publisher","first-page":"27:1","DOI":"10.1145\/1961189.1961199","volume":"2","author":"CC Chang","year":"2011","unstructured":"Chang, C.C., Lin, C.J.: LIBSVM: a library for support vector machines. ACM Trans. Intell. Syst. Technol. 2, 27:1\u201327:27 (2011)","journal-title":"ACM Trans. Intell. Syst. Technol."},{"issue":"2","key":"43_CR4","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1137\/S0895479895290954","volume":"20","author":"A Edelman","year":"1998","unstructured":"Edelman, A., Arias, T., Smith, S.: The geometry of algorithms with orthogonality constraints. SIAM J. Matrix Anal. Appl. 20(2), 303\u2013353 (1998)","journal-title":"SIAM J. Matrix Anal. Appl."},{"issue":"11","key":"43_CR5","doi-asserted-by":"publisher","first-page":"2164","DOI":"10.1109\/TPAMI.2015.2408358","volume":"37","author":"K Fukui","year":"2015","unstructured":"Fukui, K., Maki, A.: Difference subspace and its generalization for subspace-based methods. IEEE Trans. Pattern Anal. Mach. Intell. 37(11), 2164\u20132177 (2015)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"43_CR6","volume-title":"Introduction to Statistical Pattern Recognition","author":"K Fukunaga","year":"1990","unstructured":"Fukunaga, K.: Introduction to Statistical Pattern Recognition, 2nd edn. Academic Press, London (1990)","edition":"2"},{"issue":"4","key":"43_CR7","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1109\/T-C.1970.222918","volume":"C\u201319","author":"K Fukunaga","year":"1970","unstructured":"Fukunaga, K., Koontz, W.L.G.: Application of the Karhunen-Lo\u00e9ve expansion to feature selection and ordering. IEEE Trans. Comput. C\u201319(4), 311\u2013318 (1970)","journal-title":"IEEE Trans. Comput."},{"key":"43_CR8","doi-asserted-by":"crossref","unstructured":"Hamm, J., Lee, D.: Grassmann discriminant analysis: a unifying view on subspace-based learning. In: Proceedings of International Conference on Machine Learning, pp. 376\u2013383 (2008)","DOI":"10.1145\/1390156.1390204"},{"issue":"6","key":"43_CR9","doi-asserted-by":"publisher","first-page":"610","DOI":"10.1109\/TSMC.1973.4309314","volume":"3","author":"RM Haralick","year":"1973","unstructured":"Haralick, R.M., Shanmugam, K., Dinstein, I.: Textural features for image classification. IEEE Trans. Syst., Man, Cybern. 3(6), 610\u2013621 (1973). https:\/\/doi.org\/10.1109\/TSMC.1973.4309314","journal-title":"IEEE Trans. Syst., Man, Cybern."},{"key":"43_CR10","doi-asserted-by":"crossref","unstructured":"Harandi, M., Sanderson, C., Shen, C., Lovell, B.: Dictionary learning and sparse coding on Grassmann manifolds: an extrinsic solution. In: Proceedings of The IEEE International Conference on Computer Vision, pp. 3120\u20133127 (2013)","DOI":"10.1109\/ICCV.2013.387"},{"key":"43_CR11","unstructured":"Iijima, T.: Theory of pattern recognition. In: Electronics and Communications in Japan, pp. 123\u2013134 (1963)"},{"key":"43_CR12","doi-asserted-by":"crossref","unstructured":"Itoh, H., Mori, Y., Misawa, M., Oda, M., Kudo, S.E., Mori, K.: Cascade classification of endocytoscopic images of colorectal lesions for automated pathological diagnosis. In: Proceedings of SPIE Medical Imaging (2018, in Press)","DOI":"10.1117\/12.2293495"},{"key":"43_CR13","doi-asserted-by":"crossref","unstructured":"Jia, Y., et al.: Caffe: convolutional architecture for fast feature embedding. arXiv preprint arXiv:1408.5093 (2014)","DOI":"10.1145\/2647868.2654889"},{"key":"43_CR14","doi-asserted-by":"publisher","DOI":"10.1007\/b98835","volume-title":"Principal Component Analysis","author":"IT Jollife","year":"2002","unstructured":"Jollife, I.T.: Principal Component Analysis. Springer, New York (2002). https:\/\/doi.org\/10.1007\/b98835"},{"key":"43_CR15","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.: ImageNet classification with deep convolutional neural networks. In: Proceedings of International Conference on Neural Information Processing Systems, vol. 1, pp. 1097\u20131105 (2012)"},{"issue":"11","key":"43_CR16","doi-asserted-by":"publisher","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y Lecun","year":"1998","unstructured":"Lecun, Y., et al.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278\u20132324 (1998)","journal-title":"Proc. IEEE"},{"key":"43_CR17","series-title":"Studies in Computational Intelligence","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1007\/978-3-642-12848-6_5","volume-title":"Computer Vision","author":"K Maeda","year":"2010","unstructured":"Maeda, K.: From the subspace methods to the mutual subspace method. In: Cipolla, R., Battiato, S., Farinella, G.M. (eds.) Computer Vision. SCI, vol. 285, pp. 135\u2013156. Springer, Berlin (2010). https:\/\/doi.org\/10.1007\/978-3-642-12848-6_5"},{"key":"43_CR18","doi-asserted-by":"publisher","first-page":"1110","DOI":"10.1055\/s-0042-113609","volume":"48","author":"Y Mori","year":"2016","unstructured":"Mori, Y., et al.: Impact of an automated system for endocytoscopic diagnosis of small colorectal lesions: an international web-based study. Endoscopy 48, 1110\u20131118 (2016)","journal-title":"Endoscopy"},{"key":"43_CR19","doi-asserted-by":"publisher","first-page":"621","DOI":"10.1016\/j.gie.2014.09.008","volume":"81","author":"Y Mori","year":"2015","unstructured":"Mori, Y., et al.: Novel computer-aided diagnostic system for colorectal lesions by using endocytoscopy. Gastrointest. Endosc. 81, 621\u2013629 (2015)","journal-title":"Gastrointest. Endosc."},{"key":"43_CR20","volume-title":"Subspace Methods of Pattern Recognition","author":"E Oja","year":"1983","unstructured":"Oja, E.: Subspace Methods of Pattern Recognition. Research Studies Press, Boston (1983)"},{"key":"43_CR21","first-page":"61","volume":"10","author":"JC Platt","year":"1999","unstructured":"Platt, J.C.: Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. Adv. Large Margin Classif. 10, 61\u201374 (1999). MIT Press","journal-title":"Adv. Large Margin Classif."},{"key":"43_CR22","doi-asserted-by":"crossref","unstructured":"Shigenaka, R., Raytchev, B., Tamaki, T., Kaneda, K.: Face sequence recognition using Grassmann distances and Gassmann kernels. In: Proceedings of International Joint Conference on Neural Networks, pp. 1\u20137 (2012)","DOI":"10.1109\/IJCNN.2012.6252731"},{"key":"43_CR23","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. In: Proceedings of International Conference on Learning Representations (2015)"},{"issue":"2","key":"43_CR24","doi-asserted-by":"publisher","first-page":"556","DOI":"10.1016\/j.patcog.2014.08.011","volume":"48","author":"R Slama","year":"2015","unstructured":"Slama, R., Wannous, H., Daoudi, M., Srivastava, A.: Accurate 3D action recognition using learning on the Grassmann manifold. Pattern Recognit. 48(2), 556\u2013567 (2015)","journal-title":"Pattern Recognit."},{"key":"43_CR25","unstructured":"Tamaki, T., et al.: Computer-aided colorectal tumor classification in NBI endoscopy using CNN features. In: Proceedings of Korea-Japan Joint Workshop on Frontiers of Computer Vision (2016)"},{"key":"43_CR26","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1016\/j.media.2012.08.003","volume":"17","author":"T Tamaki","year":"2013","unstructured":"Tamaki, T., et al.: Computer-aided colorectal tumor classification in NBI endoscopy using local features. Mediacal Image Anal. 17, 78\u2013100 (2013)","journal-title":"Mediacal Image Anal."},{"key":"43_CR27","volume-title":"Statistical Learning Theory","author":"VN Vapnik","year":"1998","unstructured":"Vapnik, V.N.: Statistical Learning Theory. Wiley, New York (1998)"},{"key":"43_CR28","unstructured":"Watanabe, S., Pakvasa, N.: Subspace method of pattern recognition. In: Proceedings of of the 1st International Joint Conference of Pattern Recognition (1973)"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2018 Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-11018-5_43","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,22]],"date-time":"2023-01-22T01:24:41Z","timestamp":1674350681000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-11018-5_43"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030110178","9783030110185"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-11018-5_43","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":"23 January 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Munich","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2018.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}