{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T04:25:35Z","timestamp":1747196735496,"version":"3.40.5"},"publisher-location":"Cham","reference-count":42,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319143637"},{"type":"electronic","value":"9783319143644"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-319-14364-4_10","type":"book-chapter","created":{"date-parts":[[2014,12,2]],"date-time":"2014-12-02T12:26:46Z","timestamp":1417523206000},"page":"95-106","source":"Crossref","is-referenced-by-count":1,"title":["Thresholding a Random Forest Classifier"],"prefix":"10.1007","author":[{"given":"Florian","family":"Baumann","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fangda","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arne","family":"Ehlers","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bodo","family":"Rosenhahn","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"10_CR1","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L. Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Machine Learning\u00a045, 5\u201332 (2001)","journal-title":"Machine Learning"},{"unstructured":"Freund, Y., Schapire, R.E.: Experiments with a new boosting algorithm. In: Proceedings of the Thirteenth International Conference on Machine Learning, pp. 148\u2013156. IEEE (1996)","key":"10_CR2"},{"doi-asserted-by":"crossref","unstructured":"Stallkamp, J., Schlipsing, M., Salmen, J., Igel, C.: Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition. Neural Networks (2012)","key":"10_CR3","DOI":"10.1016\/j.neunet.2012.02.016"},{"key":"10_CR4","doi-asserted-by":"publisher","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y. LeCun","year":"1998","unstructured":"LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proceedings of the IEEE\u00a086, 2278\u20132324 (1998)","journal-title":"Proceedings of the IEEE"},{"key":"10_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"635","DOI":"10.1007\/978-3-642-15558-1_46","volume-title":"Computer Vision \u2013 ECCV 2010","author":"D. Weinland","year":"2010","unstructured":"Weinland, D., \u00d6zuysal, M., Fua, P.: Making action recognition robust to occlusions and viewpoint changes. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part III. LNCS, vol.\u00a06313, pp. 635\u2013648. Springer, Heidelberg (2010)"},{"doi-asserted-by":"crossref","unstructured":"Weinland, D., Ronfard, R., Boyer, E.: Free viewpoint action recognition using motion history volumes. In: Computer Vision and Image Understanding (CVIU) (2006)","key":"10_CR6","DOI":"10.1016\/j.cviu.2006.07.013"},{"doi-asserted-by":"crossref","unstructured":"Schuldt, C., Laptev, I., Caputo, B.: Recognizing human actions: a local svm approach. In: Proceedings of the 17th International Conference on Pattern Recognition (ICPR) (2004)","key":"10_CR7","DOI":"10.1109\/ICPR.2004.1334462"},{"doi-asserted-by":"crossref","unstructured":"Blank, M., Gorelick, L., Shechtman, E., Irani, M., Basri, R.: Actions as space-time shapes. In: 10th International Conference on Computer Vision (ICCV), pp. 1395\u20131402 (2005)","key":"10_CR8","DOI":"10.1109\/ICCV.2005.28"},{"key":"10_CR9","doi-asserted-by":"publisher","first-page":"2247","DOI":"10.1109\/TPAMI.2007.70711","volume":"29","author":"L. Gorelick","year":"2007","unstructured":"Gorelick, L., Blank, M., Shechtman, E., Irani, M., Basri, R.: Actions as space-time shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI)\u00a029, 2247\u20132253 (2007)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI)"},{"key":"10_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1007\/11880561_2","volume-title":"String Processing and Information Retrieval","author":"A. Esuli","year":"2006","unstructured":"Esuli, A., Fagni, T., Sebastiani, F.: TreeBoost.MH: A boosting algorithm for multi-label hierarchical text categorization. In: Crestani, F., Ferragina, P., Sanderson, M. (eds.) SPIRE 2006. LNCS, vol.\u00a04209, pp. 13\u201324. Springer, Heidelberg (2006)"},{"unstructured":"Grossmann, E.: Adatree 2: boosting to build decision trees or improving adatree with soft splitting rules. unpublished work done at the Center for Visualisation and Virtual Environments, University of Kentucky (2004)","key":"10_CR11"},{"key":"10_CR12","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1109\/CVPR.2004.296","volume-title":"Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW 2004)","author":"E. Grossmann","year":"2004","unstructured":"Grossmann, E.: Adatree: Boosting a weak classifier into a decision tree. In: Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW 2004), vol.\u00a06, p. 105. IEEE Computer Society, Washington, DC (2004)"},{"key":"10_CR13","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1016\/j.nima.2004.12.018","volume":"543","author":"B.P. Roe","year":"2005","unstructured":"Roe, B.P., Yang, H.J., Zhu, J., Liu, Y., Stancu, I., McGregor, G.: Boosted decision trees as an alternative to artificial neural networks for particle identification. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment\u00a0543, 577\u2013584 (2005)","journal-title":"Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment"},{"doi-asserted-by":"crossref","unstructured":"Zhang, Z., Xie, X.: Research on adaboost. m1 with random forest. In: 2010 2nd International Conference on Computer Engineering and Technology (ICCET), vol.\u00a01, pp. V1\u2013V647 (2010)","key":"10_CR14","DOI":"10.1109\/ICCET.2010.5485910"},{"key":"10_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"198","DOI":"10.1007\/11564386_16","volume-title":"Analysis and Modelling of Faces and Gestures","author":"S.K. Zhou","year":"2005","unstructured":"Zhou, S.K.: A binary decision tree implementation of a boosted strong classifier. In: Zhao, W., Gong, S., Tang, X. (eds.) AMFG 2005. LNCS, vol.\u00a03723, pp. 198\u2013212. Springer, Heidelberg (2005)"},{"doi-asserted-by":"crossref","unstructured":"Seyedhosseini, M., Paiva, A.R., Tasdizen, T.: Fast adaboost training using weighted novelty selection. In: The 2011 International Joint Conference on Neural Networks (IJCNN), pp. 1245\u20131250. IEEE (2011)","key":"10_CR16","DOI":"10.1109\/IJCNN.2011.6033366"},{"key":"10_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1007\/978-3-642-40602-7_29","volume-title":"Pattern Recognition","author":"S. Schulter","year":"2013","unstructured":"Schulter, S., Roth, P.M., Bischof, H.: Ordinal random forests for object detection. In: Weickert, J., Hein, M., Schiele, B. (eds.) GCPR 2013. LNCS, vol.\u00a08142, pp. 261\u2013270. Springer, Heidelberg (2013)"},{"doi-asserted-by":"crossref","unstructured":"Schulter, S., Wohlhart, P., Leistner, C., Saffari, A., Roth, P.M., Bischof, H.: Alternating decision forests. In: Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2013)","key":"10_CR18","DOI":"10.1109\/CVPR.2013.72"},{"key":"10_CR19","doi-asserted-by":"publisher","first-page":"1580","DOI":"10.1016\/j.patrec.2012.04.003","volume":"33","author":"S. Bernard","year":"2012","unstructured":"Bernard, S., Adam, S., Heutte, L.: Dynamic random forests. Pattern Recognition Letters\u00a033, 1580\u20131586 (2012)","journal-title":"Pattern Recognition Letters"},{"key":"10_CR20","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1023\/B:VISI.0000013087.49260.fb","volume":"57","author":"P. Viola","year":"2004","unstructured":"Viola, P., Jones, M.J.: Robust real-time face detection. International Journal of Computer Vision\u00a057, 137\u2013154 (2004)","journal-title":"International Journal of Computer Vision"},{"doi-asserted-by":"crossref","unstructured":"Breiman, L.: Bagging predictors. In: Machine Learning, vol.\u00a024, pp. 123\u2013140 (1996)","key":"10_CR21","DOI":"10.1007\/BF00058655"},{"doi-asserted-by":"crossref","unstructured":"Ho, T.K.: Random decision forests. In: Proceedings of the Third International Conference on Document Analysis and Recognition, vol.\u00a01, pp. 278\u2013282. IEEE (1995)","key":"10_CR22","DOI":"10.1109\/ICDAR.1995.598994"},{"key":"10_CR23","doi-asserted-by":"publisher","first-page":"832","DOI":"10.1109\/34.709601","volume":"20","author":"T.K. Ho","year":"1998","unstructured":"Ho, T.K.: The random subspace method for constructing decision forests. IEEE Transactions on Pattern Analysis and Machine Intelligence\u00a020, 832\u2013844 (1998)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"10_CR24","doi-asserted-by":"publisher","first-page":"1545","DOI":"10.1162\/neco.1997.9.7.1545","volume":"9","author":"Y. Amit","year":"1997","unstructured":"Amit, Y., Geman, D.: Shape quantization and recognition with randomized trees. Neural Computation\u00a09, 1545\u20131588 (1997)","journal-title":"Neural Computation"},{"doi-asserted-by":"crossref","unstructured":"Bernard, S., Adam, S., Heutte, L.: Using random forests for handwritten digit recognition. In: Ninth International Conference on Document Analysis and Recognition, ICDAR 2007, vol.\u00a02, pp. 1043\u20131047. IEEE (2007)","key":"10_CR25","DOI":"10.1109\/ICDAR.2007.4377074"},{"doi-asserted-by":"crossref","unstructured":"Bernard, S., Heutte, L., Adam, S.: On the selection of decision trees in random forests. In: International Joint Conference on Neural Networks, IJCNN 2009, pp. 302\u2013307. IEEE (2009)","key":"10_CR26","DOI":"10.1109\/IJCNN.2009.5178693"},{"doi-asserted-by":"crossref","unstructured":"Fan, G., Wang, Z., Wang, J.: Cw-ssim kernel based random forest for image classification. In: Visual Communications and Image Processing 2010, pp. 774425\u2013774425. International Society for Optics and Photonics (2010)","key":"10_CR27","DOI":"10.1117\/12.863528"},{"doi-asserted-by":"crossref","unstructured":"O\u2019Hara, S., Draper, B.A.: Scalable action recognition with a subspace forest. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2012)","key":"10_CR28","DOI":"10.1109\/CVPR.2012.6247803"},{"doi-asserted-by":"crossref","unstructured":"Lui, Y.M., Beveridge, J., Kirby, M.: Action classification on product manifolds. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2010)","key":"10_CR29","DOI":"10.1109\/CVPR.2010.5540131"},{"doi-asserted-by":"crossref","unstructured":"Schindler, K., Van Gool, L.: Action snippets: How many frames does human action recognition require? In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2008)","key":"10_CR30","DOI":"10.1109\/CVPR.2008.4587730"},{"doi-asserted-by":"crossref","unstructured":"Li, W., Yu, Q., Sawhney, Vasconcelos, N.: Recognizing activities via bag of words for attribute dynamics. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2587\u20132594 (2013)","key":"10_CR31","DOI":"10.1109\/CVPR.2013.334"},{"doi-asserted-by":"crossref","unstructured":"Tian, Y., Sukthankar, R., Shah, M.: Spatiotemporal deformable part models for action detection. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2013)","key":"10_CR32","DOI":"10.1109\/CVPR.2013.341"},{"doi-asserted-by":"crossref","unstructured":"Yu, T.H., Kim, T.K., Cipolla, R.: Unconstrained monocular 3d human pose estimation by action detection and cross-modality regression forest. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3642\u20133649 (2013)","key":"10_CR33","DOI":"10.1109\/CVPR.2013.467"},{"doi-asserted-by":"crossref","unstructured":"Jhuang, H., Serre, T., Wolf, L., Poggio, T.: A biologically inspired system for action recognition. In: 11th International Conference on Computer Vision (ICCV), pp. 1\u20138. IEEE (2007)","key":"10_CR34","DOI":"10.1109\/ICCV.2007.4408988"},{"doi-asserted-by":"crossref","unstructured":"Lin, Z., Jiang, Z., Davis, L.S.: Recognizing actions by shape-motion prototype trees. In: 12th International Conference on Computer Vision (ICCV), pp. 444\u2013451 (2009)","key":"10_CR35","DOI":"10.1109\/ICCV.2009.5459184"},{"doi-asserted-by":"crossref","unstructured":"Yeffet, L., Wolf, L.: Local trinary patterns for human action recognition. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2009)","key":"10_CR36","DOI":"10.1109\/ICCV.2009.5459201"},{"doi-asserted-by":"crossref","unstructured":"Laptev, I., Marszalek, M., Schmid, C., Rozenfeld, B.: Learning realistic human actions from movies. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2008)","key":"10_CR37","DOI":"10.1109\/CVPR.2008.4587756"},{"doi-asserted-by":"crossref","unstructured":"Kihl, O., Picard, D., Gosselin, P.H., et al.: Local polynomial space-time descriptors for actions classification. In: International Conference on Machine Vision Applications (2013)","key":"10_CR38","DOI":"10.1007\/s00138-014-0652-z"},{"unstructured":"Baumann, F., Liao, J., Ehlers, A., Rosenhahn, B.: Motion binary patterns for action recognition. In: 3rd International Conference on Pattern Recognition Applications and Methods (ICPRAM) (2014)","key":"10_CR39"},{"unstructured":"Wang, Z., Wang, J., Xiao, J., Lin, K.-H., Huang, T.: Substructure and boundary modeling for continuous action recognition. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2012)","key":"10_CR40"},{"doi-asserted-by":"crossref","unstructured":"Wu, X., Xu, D., Duan, L., Luo, J.: Action recognition using context and appearance distribution features. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2011)","key":"10_CR41","DOI":"10.1109\/CVPR.2011.5995624"},{"unstructured":"Li, R., Zickler, T.: Discriminative virtual views for cross-view action recognition. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2012)","key":"10_CR42"}],"container-title":["Lecture Notes in Computer Science","Advances in Visual Computing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-14364-4_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T22:20:54Z","timestamp":1747174854000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-14364-4_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783319143637","9783319143644"],"references-count":42,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-14364-4_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2014]]}}}