{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T22:33:20Z","timestamp":1742942000511,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":29,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540886891"},{"type":"electronic","value":"9783540886907"}],"license":[{"start":{"date-parts":[[2008,1,1]],"date-time":"2008-01-01T00:00:00Z","timestamp":1199145600000},"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":[[2008]]},"DOI":"10.1007\/978-3-540-88690-7_44","type":"book-chapter","created":{"date-parts":[[2008,10,10]],"date-time":"2008-10-10T16:11:47Z","timestamp":1223655107000},"page":"588-601","source":"Crossref","is-referenced-by-count":8,"title":["SERBoost: Semi-supervised Boosting with Expectation Regularization"],"prefix":"10.1007","author":[{"given":"Amir","family":"Saffari","sequence":"first","affiliation":[]},{"given":"Helmut","family":"Grabner","sequence":"additional","affiliation":[]},{"given":"Horst","family":"Bischof","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"44_CR1","unstructured":"Zhu, X.: Semi-supervised learning literature survey. Technical Report 1530, Computer Sciences, University of Wisconsin-Madison (2005)"},{"key":"44_CR2","doi-asserted-by":"crossref","unstructured":"Chapelle, O., Sch\u00f6lkopf, B., Zien, A. (eds.): Semi-Supervised Learning. Cambridge, MA (2006)","DOI":"10.7551\/mitpress\/9780262033589.001.0001"},{"key":"44_CR3","doi-asserted-by":"crossref","unstructured":"Buc, D.F., Grandvalet, Y., Ambroise, C.: Semi-supervised marginboost. In: Proc. of NIPS, pp. 553\u2013560 (2002)","DOI":"10.7551\/mitpress\/1120.003.0076"},{"key":"44_CR4","doi-asserted-by":"crossref","unstructured":"Bennett, K.P., Demiriz, A., Maclin, R.: Exploiting unlabeled data in ensemble methods. In: Proc. of KDD, pp. 289\u2013296 (2002)","DOI":"10.1145\/775047.775090"},{"key":"44_CR5","unstructured":"Mallapragada, P.K., Jin, R., Jain, A.K., Liu, Y.: Semiboost: Bossting for semi-supervised learning. Technical report, Department of Computer Science, Michigan State University (2007)"},{"key":"44_CR6","unstructured":"Chen, K., Wang, S.: Regularized boost for semi-supervised learning. In: Proc. of NIPS (2008)"},{"key":"44_CR7","doi-asserted-by":"crossref","unstructured":"Cohen, I., Sebe, N., Cozman, F.G., Cirelo, M.C., Huang, T.: Learning bayesian network classifiers for facial expression recognition using both labeled and unlabeled data. In: Proc. of CVPR, vol.\u00a01, pp. 595\u2013604 (2003)","DOI":"10.1109\/CVPR.2003.1211408"},{"key":"44_CR8","doi-asserted-by":"crossref","unstructured":"Yao, J., Zhang, Z.: Semi-supervised learning based object detection in aerial imagery. In: Proc. of CVPR, vol.\u00a01, pp. 1011\u20131016 (2005)","DOI":"10.1109\/CVPR.2005.318"},{"key":"44_CR9","doi-asserted-by":"crossref","unstructured":"Leistner, C., Grabner, H., Bischof, H.: Semi-supervised boosting using visual similarity learning. In: Proc. IEEE Conf. on Computer Vision and Pattern Recognition (2008)","DOI":"10.1109\/CVPR.2008.4587629"},{"key":"44_CR10","doi-asserted-by":"crossref","unstructured":"Mann, G.S., Mccallum, A.: Simple, robust, scalable semi-supervised learning via expectation regularization. In: Proc. of ICML, pp. 593\u2013600 (2007)","DOI":"10.1145\/1273496.1273571"},{"key":"44_CR11","first-page":"221","volume-title":"Advances in Large Margin Classifiers","author":"L. Mason","year":"1999","unstructured":"Mason, L., Baxter, J., Bartlett, P., Frean, M.: Functional gradient techniques for combining hypotheses. In: Advances in Large Margin Classifiers, pp. 221\u2013247. MIT Press, Cambridge (1999)"},{"key":"44_CR12","first-page":"39","volume":"22","author":"A.L. Berger","year":"1996","unstructured":"Berger, A.L., Della Pietra, V.J., Della Pietra, S.A.: A maximum entropy approach to natural language processing. Comput. Linguist.\u00a022, 39\u201371 (1996)","journal-title":"Comput. Linguist."},{"key":"44_CR13","unstructured":"Schapire, R.E., Rochery, M., Rahim, M., Gupta, N.: Incorporating prior knowledge into boosting. In: Proc. of ICML (2002)"},{"key":"44_CR14","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1214\/aos\/1016218223","volume":"38","author":"J. Friedman","year":"2000","unstructured":"Friedman, J., Hastie, T., Tibshirani, R.: Additive logistic regression: a statistical view of boosting. The Annals of Statistics\u00a038, 337\u2013374 (2000)","journal-title":"The Annals of Statistics"},{"key":"44_CR15","unstructured":"Joachims, T.: Transductive inference for text classification using support vector machines. In: Proc. of ICML, pp. 200\u2013209 (1999)"},{"key":"44_CR16","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"V45","author":"L. Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Machine Learning\u00a0V45, 5\u201332 (2001)","journal-title":"Machine Learning"},{"key":"44_CR17","doi-asserted-by":"crossref","unstructured":"Marszalek, M., Schmid, C.: Spatial weighting for bag-of-features. In: Proc. of CVPR, pp. 2118\u20132125 (2006)","DOI":"10.1109\/CVPR.2006.288"},{"key":"44_CR18","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1007\/s11263-006-9794-4","volume":"73","author":"J. Zhang","year":"2007","unstructured":"Zhang, J., Marszalek, M., Lazebnik, S., Schmid, C.: Local features and kernels for classification of texture and object categories: A comprehensive study. IJCV\u00a073, 213\u2013238 (2007)","journal-title":"IJCV"},{"key":"44_CR19","doi-asserted-by":"crossref","unstructured":"Bosch, A., Zisserman, A., Munoz, X.: Representing shape with a spatial pyramid kernel. In: Proc. of CIVR, pp. 401\u2013408 (2007)","DOI":"10.1145\/1282280.1282340"},{"key":"44_CR20","unstructured":"Freund, Y., Schapire, R.: Experiments with a new boosting algorithm. In: Proc. of ICML, pp. 148\u2013156 (1996)"},{"key":"44_CR21","doi-asserted-by":"publisher","first-page":"620","DOI":"10.1103\/PhysRev.106.620","volume":"106","author":"E.T. Jaynes","year":"1957","unstructured":"Jaynes, E.T.: Information theory and statistical mechanics. Physical Review\u00a0106, 620\u2013630 (1957)","journal-title":"Physical Review"},{"key":"44_CR22","unstructured":"Everingham, M., Zisserman, A., Williams, C.K.I., Van gool, L.: The pascal visual object classes challenge 2006 (voc 2006) results. Technical report (2006)"},{"key":"44_CR23","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1023\/B:VISI.0000027790.02288.f2","volume":"60","author":"K. Mikolajczyk","year":"2004","unstructured":"Mikolajczyk, K., Schmid, C.: Scale and affine invariant interest point detectors. IJCV\u00a060, 63\u201386 (2004)","journal-title":"IJCV"},{"key":"44_CR24","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","volume":"60","author":"D.G. Lowe","year":"2004","unstructured":"Lowe, D.G.: Distinctive image features from scale-invariant keypoints. IJCV\u00a060, 91\u2013110 (2004)","journal-title":"IJCV"},{"key":"44_CR25","doi-asserted-by":"crossref","unstructured":"Lazebnik, S., Schmid, C., Ponce, J.: Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In: Proc. of CVPR, pp. 2169\u20132178 (2006)","DOI":"10.1109\/CVPR.2006.68"},{"key":"44_CR26","unstructured":"Chang, C.C., Lin, C.J.: Libsvm: a library for support vector machines. (2001), http:\/\/www.csie.ntu.edu.tw\/~cjlin\/libsvm"},{"key":"44_CR27","doi-asserted-by":"crossref","unstructured":"Lin, C.J., Weng, R.C., Keerthi, S.S.: Trust region newton method for large-scale logistic regression. Technical report (2007)","DOI":"10.1145\/1273496.1273567"},{"key":"44_CR28","doi-asserted-by":"publisher","first-page":"1465","DOI":"10.1109\/TPAMI.2006.188","volume":"28","author":"V. Lepetit","year":"2006","unstructured":"Lepetit, V., Fua, P.: Keypoint recognition using randomized trees. PAMI\u00a028, 1465\u20131479 (2006)","journal-title":"PAMI"},{"key":"44_CR29","doi-asserted-by":"crossref","unstructured":"Bosch, A., Zisserman, A., Munoz, X.: Image classification using random forests and ferns. In: Proc. of ICCV (2007)","DOI":"10.1109\/ICCV.2007.4409066"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2008"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-88690-7_44","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T17:55:15Z","timestamp":1738432515000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-88690-7_44"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008]]},"ISBN":["9783540886891","9783540886907"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-88690-7_44","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2008]]}}}