{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,3]],"date-time":"2022-04-03T20:11:16Z","timestamp":1649016676847},"reference-count":56,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2015,4,3]],"date-time":"2015-04-03T00:00:00Z","timestamp":1428019200000},"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":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2016,4]]},"DOI":"10.1007\/s00521-015-1880-5","type":"journal-article","created":{"date-parts":[[2015,4,3]],"date-time":"2015-04-03T15:45:13Z","timestamp":1428075913000},"page":"593-602","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Block-based selection random forest for texture classification using multi-fractal spectrum feature"],"prefix":"10.1007","volume":"27","author":[{"given":"Qian","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,4,3]]},"reference":[{"issue":"1","key":"1880_CR1","first-page":"1063","volume":"98888","author":"G Biau","year":"2012","unstructured":"Biau G (2012) Analysis of a random forests model. J Mach Learn Res 98888(1):1063\u20131095","journal-title":"J Mach Learn Res"},{"issue":"8","key":"1880_CR2","doi-asserted-by":"crossref","first-page":"3651","DOI":"10.1016\/j.eswa.2013.12.009","volume":"41","author":"A Booth","year":"2014","unstructured":"Booth A, Gerding E, McGroarty F (2014) Automated trading with performance weighted random forests and seasonality. Expert Syst Appl 41(8):3651\u20133661","journal-title":"Expert Syst Appl"},{"issue":"1","key":"1880_CR3","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1109\/34.41384","volume":"12","author":"AC Bovik","year":"1990","unstructured":"Bovik AC, Clark M, Geisler WS (1990) Multichannel texture analysis using localized spatial filters. IEEE Trans Pattern Anal Mach Intell 12(1):55\u201373","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"2","key":"1880_CR4","first-page":"123","volume":"24","author":"L Breiman","year":"1996","unstructured":"Breiman L (1996) Bagging predictors. Mach Learn 24(2):123\u2013140","journal-title":"Mach Learn"},{"issue":"1","key":"1880_CR5","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman L (2001) Random forests. Mach Learn 45(1):5\u201332","journal-title":"Mach Learn"},{"issue":"2","key":"1880_CR6","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1023\/A:1009715923555","volume":"2","author":"CJ Burges","year":"1998","unstructured":"Burges CJ (1998) A tutorial on support vector machines for pattern recognition. Data Min Knowl Discov 2(2):121\u2013167","journal-title":"Data Min Knowl Discov"},{"issue":"1","key":"1880_CR7","first-page":"39","volume":"14","author":"S Cl\u00e9men\u00e7on","year":"2013","unstructured":"Cl\u00e9men\u00e7on S, Depecker M, Vayatis N (2013) Ranking forests. J Mach Learn Res 14(1):39\u201373","journal-title":"J Mach Learn Res"},{"issue":"9","key":"1880_CR8","doi-asserted-by":"crossref","first-page":"4316","DOI":"10.1109\/TIT.2009.2025558","volume":"55","author":"S Cl\u00e9men\u00e7on","year":"2009","unstructured":"Cl\u00e9men\u00e7on S, Vayatis N (2009) Tree-based ranking methods. IEEE Trans Inf Theory 55(9):4316\u20134336","journal-title":"IEEE Trans Inf Theory"},{"key":"1880_CR9","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1109\/TPAMI.1983.4767341","volume":"1","author":"GR Cross","year":"1983","unstructured":"Cross GR, Jain AK (1983) Markov random field texture models. IEEE Trans Pattern Anal Mach Intell 1:25\u201339","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1880_CR10","first-page":"665","volume":"32","author":"N Freitas de","year":"2014","unstructured":"de Freitas N et al (2014) Narrowing the gap: random forests in theory and in practice. J Mach Learn Res 32:665\u2013673","journal-title":"J Mach Learn Res"},{"issue":"2","key":"1880_CR11","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1023\/A:1007607513941","volume":"40","author":"TG Dietterich","year":"2000","unstructured":"Dietterich TG (2000) An experimental comparison of three methods for constructing ensembles of decision trees: bagging, boosting, and randomization. Mach Learn 40(2):139\u2013157","journal-title":"Mach Learn"},{"key":"1880_CR12","doi-asserted-by":"crossref","DOI":"10.1201\/9780429246593","volume-title":"An introduction to the bootstrap","author":"B Efron","year":"1994","unstructured":"Efron B, Tibshirani RJ (1994) An introduction to the bootstrap, vol 57. CRC Press, Boca Raton"},{"key":"1880_CR13","volume-title":"Techniques in fractal geometry","author":"KJ Falconer","year":"1997","unstructured":"Falconer KJ, Falconer K (1997) Techniques in fractal geometry, vol 16. Wiley, Chichester"},{"key":"1880_CR14","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1016\/j.patrec.2014.01.009","volume":"42","author":"JB Florindo","year":"2014","unstructured":"Florindo JB, Bruno OM (2014) Fractal descriptors based on the probability dimension: a texture analysis and classification approach. Pattern Recognit Lett 42:107\u2013114","journal-title":"Pattern Recognit Lett"},{"issue":"1","key":"1880_CR15","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/s10994-006-6226-1","volume":"63","author":"P Geurts","year":"2006","unstructured":"Geurts P, Ernst D, Wehenkel L (2006) Extremely randomized trees. Mach Learn 63(1):3\u201342","journal-title":"Mach Learn"},{"issue":"1","key":"1880_CR16","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1016\/j.patcog.2009.06.009","volume":"43","author":"IA Gheyas","year":"2010","unstructured":"Gheyas IA, Smith LS (2010) Feature subset selection in large dimensionality domains. Pattern Recognit 43(1):5\u201313","journal-title":"Pattern Recognit"},{"issue":"3","key":"1880_CR17","doi-asserted-by":"crossref","first-page":"300","DOI":"10.1007\/s10851-014-0500-9","volume":"50","author":"E Gonz\u00e1lez","year":"2014","unstructured":"Gonz\u00e1lez E, Fern\u00e1ndez A, Bianconi F (2014) General framework for rotation invariant texture classification through co-occurrence of patterns. J Math Imaging Vis 50(3):300\u2013313","journal-title":"J Math Imaging Vis"},{"issue":"1","key":"1880_CR18","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1007\/s11222-012-9349-1","volume":"24","author":"A Hapfelmeier","year":"2014","unstructured":"Hapfelmeier A, Hothorn T, Ulm K, Strobl C (2014) A new variable importance measure for random forests with missing data. Stat Comput 24(1):21\u201334","journal-title":"Stat Comput"},{"key":"1880_CR19","doi-asserted-by":"crossref","first-page":"610","DOI":"10.1109\/TSMC.1973.4309314","volume":"6","author":"RM Haralick","year":"1973","unstructured":"Haralick RM, Shanmugam K, Dinstein IH (1973) Textural features for image classification. IEEE Trans Syst Man Cybern 6:610\u2013621","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"1880_CR20","doi-asserted-by":"crossref","DOI":"10.1007\/978-0-387-84858-7","volume-title":"The elements of statistical learning","author":"T Hastie","year":"2009","unstructured":"Hastie T, Tibshirani R, Friedman J, Hastie T, Friedman J, Tibshirani R (2009) The elements of statistical learning, vol 2. Springer, Berlin"},{"key":"1880_CR21","doi-asserted-by":"crossref","unstructured":"Heeger DJ, Bergen JR (1995) Pyramid-based texture analysis\/synthesis. In: Proceedings of the 22nd annual conference on computer graphics and interactive techniques. ACM, London, pp 229\u2013238","DOI":"10.1109\/ICIP.1995.537718"},{"issue":"8","key":"1880_CR22","doi-asserted-by":"crossref","first-page":"832","DOI":"10.1109\/34.709601","volume":"20","author":"TK Ho","year":"1998","unstructured":"Ho TK (1998) The random subspace method for constructing decision forests. IEEE Trans Pattern Anal Mach Intell 20(8):832\u2013844","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1880_CR23","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1007\/978-3-319-01595-8_6","volume-title":"Data analysis, machine learning and knowledge discovery","author":"NH Huy","year":"2014","unstructured":"Huy NH, Frenzel S, Bandt C (2014) Two-step linear discriminant analysis for classification of eeg data. In: Spiliopoulou M, Schmidt-Thieme L, Janning R (eds) Data analysis, machine learning and knowledge discovery. Springer, Berlin, pp 51\u201359"},{"issue":"5","key":"1880_CR24","doi-asserted-by":"crossref","first-page":"2449","DOI":"10.1109\/TIP.2012.2185939","volume":"21","author":"S Jain","year":"2012","unstructured":"Jain S, Papadakis M, Upadhyay S, Azencott R (2012) Rigid-motion-invariant classification of 3-d textures. IEEE Trans Image Process 21(5):2449\u20132463","journal-title":"IEEE Trans Image Process"},{"issue":"1","key":"1880_CR25","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1186\/1471-2105-14-119","volume":"14","author":"S Janitza","year":"2013","unstructured":"Janitza S, Strobl C, Boulesteix A-L (2013) An AUC-based permutation variable importance measure for random forests. BMC Bioinf 14(1):119","journal-title":"BMC Bioinf"},{"issue":"1","key":"1880_CR26","first-page":"1144","volume":"36","author":"VY Kulkarni","year":"2013","unstructured":"Kulkarni VY, Sinha PK (2013) Random forest classifiers: a survey and future research directions. Int J Adv Comput 36(1):1144\u20131153","journal-title":"Int J Adv Comput"},{"issue":"1","key":"1880_CR27","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1016\/j.patcog.2013.05.003","volume":"47","author":"CR Li","year":"2014","unstructured":"Li CR, Li JP, Gao DP, Fu B (2014) Rapid-transform based rotation invariant descriptor for texture classification under non-ideal conditions. Pattern Recognit 47(1):313\u2013325","journal-title":"Pattern Recognit"},{"key":"1880_CR28","doi-asserted-by":"crossref","unstructured":"Liu L, Fieguth P, Kuang GY, Zha, HB (2011) Sorted random projections for robust texture classification. In: 2011 IEEE international conference on computer vision (ICCV). IEEE, pp 391\u2013398","DOI":"10.1109\/ICCV.2011.6126267"},{"issue":"3","key":"1880_CR29","doi-asserted-by":"crossref","first-page":"574","DOI":"10.1109\/TPAMI.2011.145","volume":"34","author":"L Liu","year":"2012","unstructured":"Liu L, Fieguth PW (2012) Texture classification from random features. IEEE Trans Pattern Anal Mach Intell 34(3):574\u2013586","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1880_CR30","doi-asserted-by":"crossref","unstructured":"Liu X, Song ML, Tao DC, Liu ZC, Zhang LM, Chen C, Bu JJ (2013) Semi-supervised node splitting for random forest construction. In: 2013 IEEE conference on computer vision and pattern recognition (CVPR). IEEE, pp 492\u2013499","DOI":"10.1109\/CVPR.2013.70"},{"key":"1880_CR31","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.patrec.2013.11.001","volume":"44","author":"M Manfredi","year":"2014","unstructured":"Manfredi M, Vezzani R, Calderara S, Cucchiara R (2014) Detection of static groups and crowds gathered in open spaces by texture classification. Pattern Recognit Lett 44:39\u201348","journal-title":"Pattern Recognit Lett"},{"issue":"1","key":"1880_CR32","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1016\/j.patcog.2009.05.010","volume":"43","author":"G Mart\u00ednez-Mu\u00f1oz","year":"2010","unstructured":"Mart\u00ednez-Mu\u00f1oz G, Su\u00e1rez A (2010) Out-of-bag estimation of the optimal sample size in bagging. Pattern Recognit 43(1):143\u2013152","journal-title":"Pattern Recognit"},{"issue":"1","key":"1880_CR33","first-page":"15","volume":"1","author":"PG Neville","year":"2013","unstructured":"Neville PG (2013) Controversy of variable importance in random forests. J Unified Stat Tech 1(1):15\u201320","journal-title":"J Unified Stat Tech"},{"issue":"7","key":"1880_CR34","doi-asserted-by":"crossref","first-page":"971","DOI":"10.1109\/TPAMI.2002.1017623","volume":"24","author":"T Ojala","year":"2002","unstructured":"Ojala T, Pietikainen M, Maenpaa T (2002) Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans Pattern Anal Mach Intell 24(7):971\u2013987","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1880_CR35","doi-asserted-by":"crossref","unstructured":"Qi XB, Xiao R, Guo J, Zhang L (2012) Pairwise rotation invariant co-occurrence local binary pattern. In: Computer vision-ECCV 2012. Springer, Berlin, pp 158\u2013171","DOI":"10.1007\/978-3-642-33783-3_12"},{"key":"1880_CR36","unstructured":"Quan YH, Xu Y, Sun YP, Luo Y (2013) Lacunarity analysis on image patterns for texture classification. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 160\u2013167"},{"key":"1880_CR37","doi-asserted-by":"crossref","unstructured":"Robnik-\u0160ikonja M (2004) Improving random forests. In: Machine learning: ECML 2004. Springer, Berlin, pp 359\u2013370","DOI":"10.1007\/978-3-540-30115-8_34"},{"issue":"10","key":"1880_CR38","doi-asserted-by":"crossref","first-page":"1619","DOI":"10.1109\/TPAMI.2006.211","volume":"28","author":"JJ Rodriguez","year":"2006","unstructured":"Rodriguez JJ, Kuncheva LI, Alonso CJ (2006) Rotation forest: a new classifier ensemble method. IEEE Trans Pattern Anal Mach Intell 28(10):1619\u20131630","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1880_CR39","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ins.2013.12.060","volume":"266","author":"L Rutkowski","year":"2014","unstructured":"Rutkowski L, Jaworski M, Pietruczuk L, Duda P (2014) The cart decision tree for mining data streams. Inf Sci 266:1\u201315","journal-title":"Inf Sci"},{"issue":"3","key":"1880_CR40","doi-asserted-by":"crossref","first-page":"222","DOI":"10.1007\/s11263-013-0636-x","volume":"105","author":"J S\u00e1nchez","year":"2013","unstructured":"S\u00e1nchez J, Perronnin F, Mensink T, Verbeek J (2013) Image classification with the fisher vector: theory and practice. Int J Comput Vis 105(3):222\u2013245","journal-title":"Int J Comput Vis"},{"issue":"6","key":"1880_CR41","first-page":"757","volume":"12","author":"A Sim","year":"2013","unstructured":"Sim A, Tsagkrasoulis D, Montana G (2013) Random forests on distance matrices for imaging genetics studies. Stat Appl Genet Mol Biol 12(6):757\u2013786","journal-title":"Stat Appl Genet Mol Biol"},{"key":"1880_CR42","doi-asserted-by":"crossref","first-page":"488","DOI":"10.1016\/j.ins.2014.03.066","volume":"278","author":"K Singh","year":"2014","unstructured":"Singh K, Guntuku SC, Thakur A, Hota C (2014) Big data analytics framework for peer-to-peer botnet detection using random forests. Inf Sci 278:488\u2013497","journal-title":"Inf Sci"},{"issue":"5","key":"1880_CR43","doi-asserted-by":"crossref","first-page":"995","DOI":"10.1007\/s00521-012-1329-z","volume":"24","author":"S Taheri","year":"2014","unstructured":"Taheri S, Yearwood J, Mammadov M, Seifollahi S (2014) Attribute weighted Naive Bayes classifier using a local optimization. Neural Comput Appl 24(5):995\u20131002","journal-title":"Neural Comput Appl"},{"key":"1880_CR44","doi-asserted-by":"crossref","unstructured":"Taneja S, Gupta C, Goyal K, Gureja D (2014) An enhanced k-nearest neighbor algorithm using information gain and clustering. In: 2014 Fourth international conference on Advanced Computing & Communication Technologies (ACCT). IEEE, pp 325\u2013329","DOI":"10.1109\/ACCT.2014.22"},{"key":"1880_CR45","doi-asserted-by":"crossref","unstructured":"Targhi AT, Geusebroek J-M, Zisserman A (2008) Texture classification with minimal training images. In: 19th international conference on pattern recognition, 2008. ICPR 2008. IEEE, pp 1\u20134","DOI":"10.1109\/ICPR.2008.4761388"},{"key":"1880_CR46","unstructured":"Weszka JS, Rosenfeld A (1975) A comparative study of texture measures for terrain classification. NASA STI\/Recon Technical Report N 76:269\u2013285"},{"issue":"1","key":"1880_CR47","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1007\/s10994-013-5346-7","volume":"95","author":"JK Williams","year":"2014","unstructured":"Williams JK (2014) Using random forests to diagnose aviation turbulence. Mach Learn 95(1):51\u201370","journal-title":"Mach Learn"},{"key":"1880_CR48","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.inffus.2013.04.006","volume":"16","author":"M Wo\u017aniak","year":"2014","unstructured":"Wo\u017aniak M, Gra\u00f1a M, Corchado E (2014) A survey of multiple classifier systems as hybrid systems. Inf Fus 16:3\u201317","journal-title":"Inf Fus"},{"issue":"2","key":"1880_CR49","doi-asserted-by":"crossref","first-page":"44","DOI":"10.4018\/jdwm.2012040103","volume":"8","author":"BX Xu","year":"2012","unstructured":"Xu BX, Huang JZ, Williams G, Wang Q, Ye YM (2012) Classifying very high-dimensional data with random forests built from small subspaces. Int J Data Warehous Min (IJDWM) 8(2):44\u201363","journal-title":"Int J Data Warehous Min (IJDWM)"},{"issue":"1","key":"1880_CR50","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1007\/s11263-009-0220-6","volume":"83","author":"Y Xu","year":"2009","unstructured":"Xu Y, Ji H, Ferm\u00fcller C (2009) Viewpoint invariant texture description using fractal analysis. Int J Comput Vis 83(1):85\u2013100","journal-title":"Int J Comput Vis"},{"key":"1880_CR51","doi-asserted-by":"crossref","unstructured":"Xu Y, Yang X, Ling HB, Ji H (2010) A new texture descriptor using multifractal analysis in multi-orientation wavelet pyramid. In: 2010 IEEE conference on computer vision and pattern recognition (CVPR). IEEE, pp 161\u2013168","DOI":"10.1109\/CVPR.2010.5540217"},{"key":"1880_CR52","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.neucom.2012.04.007","volume":"94","author":"F Yang","year":"2012","unstructured":"Yang F, Lu WH, Luo LK, Li T (2012) Margin optimization based pruning for random forest. Neurocomputing 94:54\u201363","journal-title":"Neurocomputing"},{"issue":"4","key":"1880_CR53","doi-asserted-by":"crossref","first-page":"296","DOI":"10.2174\/157489310794072508","volume":"5","author":"PY Yang","year":"2010","unstructured":"Yang PY, Hwa Yang Y, B Zhou B, Y Zomaya A (2010) A review of ensemble methods in bioinformatics. Curr Bioinf 5(4):296\u2013308","journal-title":"Curr Bioinf"},{"issue":"3","key":"1880_CR54","doi-asserted-by":"crossref","first-page":"769","DOI":"10.1016\/j.patcog.2012.09.005","volume":"46","author":"YM Ye","year":"2013","unstructured":"Ye YM, Wu QY, Huang JZ, Ng MK, Li XT (2013) Stratified sampling for feature subspace selection in random forests for high dimensional data. Pattern Recognit 46(3):769\u2013787","journal-title":"Pattern Recognit"},{"issue":"10","key":"1880_CR55","doi-asserted-by":"crossref","first-page":"3429","DOI":"10.1016\/j.patcog.2014.04.001","volume":"47","author":"L Zhang","year":"2014","unstructured":"Zhang L, Suganthan PN (2014) Random forests with ensemble of feature spaces. Pattern Recognit 47(10):3429\u20133437","journal-title":"Pattern Recognit"},{"key":"1880_CR56","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/j.patrec.2013.09.023","volume":"36","author":"AG Zu\u00f1iga","year":"2014","unstructured":"Zu\u00f1iga AG, Florindo JB, Bruno OM (2014) Gabor wavelets combined with volumetric fractal dimension applied to texture analysis. Pattern Recognit Lett 36:135\u2013143","journal-title":"Pattern Recognit Lett"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-015-1880-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-015-1880-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-015-1880-5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,31]],"date-time":"2020-08-31T11:54:56Z","timestamp":1598874896000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-015-1880-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,4,3]]},"references-count":56,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2016,4]]}},"alternative-id":["1880"],"URL":"https:\/\/doi.org\/10.1007\/s00521-015-1880-5","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,4,3]]}}}