{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T12:47:37Z","timestamp":1725626857229},"publisher-location":"Berlin, Heidelberg","reference-count":24,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642248542"},{"type":"electronic","value":"9783642248559"}],"license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011]]},"DOI":"10.1007\/978-3-642-24855-9_7","type":"book-chapter","created":{"date-parts":[[2011,10,28]],"date-time":"2011-10-28T07:05:26Z","timestamp":1319785526000},"page":"75-86","source":"Crossref","is-referenced-by-count":0,"title":["Renal Cancer Cell Classification Using Generative Embeddings and Information Theoretic Kernels"],"prefix":"10.1007","author":[{"given":"Manuele","family":"Bicego","sequence":"first","affiliation":[]},{"given":"Ayd\u0131n","family":"Ula\u015f","sequence":"additional","affiliation":[]},{"given":"Peter","family":"Sch\u00fcffler","sequence":"additional","affiliation":[]},{"given":"Umberto","family":"Castellani","sequence":"additional","affiliation":[]},{"given":"Vittorio","family":"Murino","sequence":"additional","affiliation":[]},{"given":"Andr\u00e9","family":"Martins","sequence":"additional","affiliation":[]},{"given":"Pedro","family":"Aguiar","sequence":"additional","affiliation":[]},{"given":"Mario","family":"Figueiredo","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"doi-asserted-by":"crossref","unstructured":"Bicego, M., Lovato, P., Ferrarini, A., Delledonne, M.: Biclustering of expression microarray data with topic models. In: Proceedings of the International Conference on Pattern Recognition, pp. 2728\u20132731 (2010)","key":"7_CR1","DOI":"10.1109\/ICPR.2010.668"},{"doi-asserted-by":"crossref","unstructured":"Bicego, M., Lovato, P., Oliboni, B., Perina, A.: Expression microarray classification using topic models. In: ACM Symposium on Applied Computing (Bioinformatics and Computational Biology track) (2010)","key":"7_CR2","DOI":"10.1145\/1774088.1774415"},{"doi-asserted-by":"crossref","unstructured":"Bicego, M., Perina, A., Murino, V., Martins, A., Aguiar, P., Figueiredo, M.: Combining free energy score spaces with information theoretic kernels: Application to scene classification. In: Proceedings of the IEEE International Conference on Image Processing, pp. 2661\u20132664 (2010)","key":"7_CR3","DOI":"10.1109\/ICIP.2010.5651831"},{"key":"7_CR4","first-page":"993","volume":"3","author":"D. Blei","year":"2003","unstructured":"Blei, D., Ng, A., Jordan, M.: Latent Dirichlet allocation. Journal of Machine Learning Research\u00a03, 993\u20131022 (2003)","journal-title":"Journal of Machine Learning Research"},{"key":"7_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"517","DOI":"10.1007\/11744085_40","volume-title":"Computer Vision \u2013 ECCV 2006","author":"A. Bosch","year":"2006","unstructured":"Bosch, A., Zisserman, A., Mu\u00f1oz, X.: Scene Classification Via pLSA. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol.\u00a03954, pp. 517\u2013530. Springer, Heidelberg (2006)"},{"doi-asserted-by":"crossref","unstructured":"Bosch, A., Zisserman, A., Munoz, X.: Representing shape with a spatial pyramid kernel. In: Proceedings of the 6th ACM International Conference on Image and Video Retrieval, pp. 401\u2013408 (2007)","key":"7_CR6","DOI":"10.1145\/1282280.1282340"},{"issue":"12","key":"7_CR7","doi-asserted-by":"publisher","first-page":"1222","DOI":"10.1109\/34.969114","volume":"20","author":"Y. Boykov","year":"2001","unstructured":"Boykov, Y., Veksler, O., Zabih, R.: Efficient approximate energy minimization via graph cuts. IEEE Transactions on Pattern Analysis and Machine Intelligence\u00a020(12), 1222\u20131239 (2001)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"doi-asserted-by":"crossref","unstructured":"Castellani, U., Perina, A., Murino, V., Bellani, M., Brambilla, P.: Brain morphometry by probabilistic latent semantic analysis. In: International Conference on Medical Image Computing and Computer Assisted Intervention (2010)","key":"7_CR8","DOI":"10.1007\/978-3-642-15745-5_22"},{"doi-asserted-by":"crossref","unstructured":"Cristani, M., Perina, A., Castellani, U., Murino, V.: Geo-located image analysis using latent representations. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1\u20138 (2008)","key":"7_CR9","DOI":"10.1109\/CVPR.2008.4587390"},{"doi-asserted-by":"crossref","unstructured":"Fuchs, T., Wild, P., Moch, H., Buhmann, J.: Computational pathology analysis of tissue microarrays predicts survival of renal clear cell carcinoma patients. In: International Conference on Medical Image Computing and Computer Assisted Intervention (2008)","key":"7_CR10","DOI":"10.1007\/978-3-540-85990-1_1"},{"issue":"1-2","key":"7_CR11","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1023\/A:1007617005950","volume":"42","author":"T. Hofmann","year":"2001","unstructured":"Hofmann, T.: Unsupervised learning by probabilistic latent semantic analysis. Machine Learning\u00a042(1-2), 177\u2013196 (2001)","journal-title":"Machine Learning"},{"unstructured":"Jaakkola, T., Haussler, D.: Exploiting generative models in discriminative classifiers. In: Advances in Neural Information Processing Systems, pp. 487\u2013493 (1999)","key":"7_CR12"},{"key":"7_CR13","doi-asserted-by":"publisher","first-page":"844","DOI":"10.1038\/nm0798-844","volume":"4","author":"J. Kononen","year":"1998","unstructured":"Kononen, J., Bubendorf, L., Kallionimeni, A., B\u00e4rlund, M., Schraml, P., Leighton, S., Torhorst, J., Mihatsch, M., Sauter, G., Kallionimeni, O.: Tissue microarrays for high-throughput molecular profiling of tumor specimens. Nature Medicine\u00a04, 844\u2013847 (1998)","journal-title":"Nature Medicine"},{"doi-asserted-by":"crossref","unstructured":"Lasserre, J., Bishop, C., Minka, T.: Principled hybrids of generative and discriminative models. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, New York (2006)","key":"7_CR14","DOI":"10.1109\/CVPR.2006.227"},{"key":"7_CR15","first-page":"935","volume":"10","author":"A. Martins","year":"2009","unstructured":"Martins, A., Smith, N., Xing, E., Aguiar, P., Figueiredo, M.: Nonextensive information theoretic kernels on measures. Journal of Machine Learning Research\u00a010, 935\u2013975 (2009)","journal-title":"Journal of Machine Learning Research"},{"key":"7_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"463","DOI":"10.1007\/978-3-642-14980-1_45","volume-title":"Structural, Syntactic, and Statistical Pattern Recognition","author":"A.F.T. Martins","year":"2010","unstructured":"Martins, A.F.T., Bicego, M., Murino, V., Aguiar, P.M.Q., Figueiredo, M.A.T.: Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models. In: Hancock, E.R., Wilson, R.C., Windeatt, T., Ulusoy, I., Escolano, F. (eds.) SSPR&SPR 2010. LNCS, vol.\u00a06218, pp. 463\u2013472. Springer, Heidelberg (2010)"},{"unstructured":"Ng, A., Jordan, M.: On discriminative vs generative classifiers: A comparison of logistic regression and naive Bayes. In: Advances in Neural Information Processing Systems (2002)","key":"7_CR17"},{"unstructured":"Perina, A., Cristani, M., Castellani, U., Murino, V., Jojic, N.: Free energy score space. In: Advances in Neural Information Processing Systems (2009)","key":"7_CR18"},{"doi-asserted-by":"crossref","unstructured":"Perina, A., Cristani, M., Castellani, U., Murino, V., Jojic, N.: A hybrid generative\/discriminative classification framework based on free-energy terms. In: Proceedings of the International Conference on Computer Vision (2009)","key":"7_CR19","DOI":"10.1109\/ICCV.2009.5459453"},{"unstructured":"Rubinstein, Y.D., Hastie, T.: Discriminative vs informative learning. In: Proceedings of the Third International Conference on Knowledge Discovery and Data Mining, pp. 49\u201353. AAAI Press (1997)","key":"7_CR20"},{"key":"7_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1007\/978-3-642-15986-2_21","volume-title":"Pattern Recognition","author":"P.J. Sch\u00fcffler","year":"2010","unstructured":"Sch\u00fcffler, P.J., Fuchs, T.J., Ong, C.S., Roth, V., Buhmann, J.M.: Computational TMA Analysis and Cell Nucleus Classification of Renal Cell Carcinoma. In: Goesele, M., Roth, S., Kuijper, A., Schiele, B., Schindler, K. (eds.) Pattern Recognition. LNCS, vol.\u00a06376, pp. 202\u2013211. Springer, Heidelberg (2010)"},{"doi-asserted-by":"crossref","unstructured":"Sch\u00fcffler, P., Ula\u015f, A., Castellani, U., Murino, V.: A multiple kernel learning algorithm for cell nucleus classification of renal cell carcinoma. In: Proceedings of the 16th International Conference on Image Analysis and Processing (2011)","key":"7_CR22","DOI":"10.1007\/978-3-642-24085-0_43"},{"doi-asserted-by":"crossref","unstructured":"Shawe-Taylor, J., Cristianini, N.: Kernel Methods for Pattern Analysis. Cambridge University Press (2004)","key":"7_CR23","DOI":"10.1017\/CBO9780511809682"},{"key":"7_CR24","doi-asserted-by":"publisher","first-page":"2397","DOI":"10.1162\/08997660260293274","volume":"14","author":"K. Tsuda","year":"2002","unstructured":"Tsuda, K., Kawanabe, M., R\u00e4tsch, G., Sonnenburg, S., M\u00fcller, K.R.: A new discriminative kernel from probabilistic models. Neural Computation\u00a014, 2397\u20132414 (2002)","journal-title":"Neural Computation"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition in Bioinformatics"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-24855-9_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,4,14]],"date-time":"2019-04-14T10:21:32Z","timestamp":1555237292000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-24855-9_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9783642248542","9783642248559"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-24855-9_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2011]]}}}