{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T17:28:29Z","timestamp":1725730109668},"publisher-location":"Berlin, Heidelberg","reference-count":27,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642389887"},{"type":"electronic","value":"9783642389894"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-38989-4_32","type":"book-chapter","created":{"date-parts":[[2013,6,5]],"date-time":"2013-06-05T15:17:56Z","timestamp":1370445476000},"page":"314-324","source":"Crossref","is-referenced-by-count":4,"title":["Modified Dendrite Morphological Neural Network Applied to 3D Object Recognition"],"prefix":"10.1007","author":[{"given":"Humberto","family":"Sossa","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elizabeth","family":"Guevara","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"32_CR1","doi-asserted-by":"crossref","unstructured":"W\u00f6hler, C.: 3D Computer Vision: Efficient Methods and Applications. Springer (2012)","DOI":"10.1007\/978-1-4471-4150-1"},{"key":"32_CR2","doi-asserted-by":"crossref","unstructured":"Grauman, K., Leibe, B.: Visual Object Recognition. Morgan & Claypool (2011)","DOI":"10.2200\/S00332ED1V01Y201103AIM011"},{"key":"32_CR3","unstructured":"Sossa, H., Guevara, E.: Efficient training for dendrite morphological neural networks. Submitted to Neurocomputing - Elsevier Journal"},{"key":"32_CR4","unstructured":"Nene, D., Nayar, S., Murase, H.: Columbia object image library: COIL (1996)"},{"key":"32_CR5","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1109\/TIT.1962.1057692","volume":"8","author":"M.K. Hu","year":"1962","unstructured":"Hu, M.K.: Visual pattern recognition by moment invariants. IRE Transactions on Information Theory\u00a08, 179\u2013187 (1962)","journal-title":"IRE Transactions on Information Theory"},{"key":"32_CR6","unstructured":"Gonz\u00e1lez, R., Woods, R.: Digital Image Processing. Pearson (2007)"},{"key":"32_CR7","unstructured":"Ritter, G.X., Iancu, L., Urcid, G.: Morphological perceptrons with dendritic structure. In: 12th IEEE International Conference in Fuzzy Systems (FUZZ 2003), vol.\u00a02, pp. 1296\u20131301 (2003)"},{"issue":"2","key":"32_CR8","doi-asserted-by":"publisher","first-page":"282","DOI":"10.1109\/TNN.2003.809427","volume":"14","author":"G.X. Ritter","year":"2003","unstructured":"Ritter, G.X., Urcid, G.: Lattice algebra approach to single-neuron computation. IEEE Transactions on Neural Networks\u00a014(2), 282\u2013295 (2003)","journal-title":"IEEE Transactions on Neural Networks"},{"issue":"2","key":"32_CR9","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1007\/BF01189873","volume":"12","author":"J.L. Davidson","year":"1993","unstructured":"Davidson, J.L., Hummer, F.: Morphology neural networks: An introduction with applications. Circuits Systems Signal Process\u00a012(2), 177\u2013210 (1993)","journal-title":"Circuits Systems Signal Process"},{"key":"32_CR10","doi-asserted-by":"crossref","unstructured":"Ritter, G.X., Sussner, P.: An introduction to morphological neural networks. In: Proceedings of the 13th International Conference on Pattern Recognition, vol.\u00a04, pp. 709\u2013717 (1996)","DOI":"10.1109\/ICPR.1996.547657"},{"key":"32_CR11","unstructured":"Sussner, P.: Morphological perceptron learning. In: IEEE ISIC\/CIRA\/ISAS Joint Conference, pp. 477\u2013482 (1998)"},{"key":"32_CR12","unstructured":"Pi\u00f1eiro Col\u00f3n, R.C., Ortiz, J.L.: Evolutionary Training of Morphological Neural Networks. PhD thesis, Electrical and Computer Engineering Department. University of Puerto Rico, Mayag\u00fcez Campus"},{"key":"32_CR13","unstructured":"Lima, C.A.M., Coelho, A.L.V., Silva, M.E.S., Gudwin, R.R., Von Zuben, F.J.: Hybrid training of morphological neural networks: A comparative study. Technical report, DCA-FEEC-Unicamp"},{"key":"32_CR14","unstructured":"De Ar\u00e1ujo, R., Madeiro, F., De Sousa, R.P., Pessoa, L.F.C.: Modular morphological neural network training via adaptive genetic algorithm for designing translation invariant operators. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), vol.\u00a02, pp. 873\u2013876 (2006)"},{"key":"32_CR15","unstructured":"Raducanu, B., Gra\u00f1a, M., Sussner, P.: Morphological neural networks for vision based self-localization. In: IEEE International Conference on Robotics and Automation, pp. 2059\u20132064 (2001)"},{"key":"32_CR16","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1360\/03ys9028","volume":"46","author":"Y. Nong","year":"2003","unstructured":"Nong, Y., Hao, W., Changyong, W., Fanming, L., Lide, W.: Morphological neural networks for automatic target detection by simulated annealing learning algorithm. Science in China (Series F)\u00a046, 262\u2013278 (2003)","journal-title":"Science in China (Series F)"},{"key":"32_CR17","doi-asserted-by":"crossref","unstructured":"Villaverde, I., Gra\u00f1a, M., D\u2019Anjou, A.: Morphological neural networks for localization and mapping. In: IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA 2006), pp. 9\u201314 (2006)","DOI":"10.1109\/CIMSA.2006.250739"},{"key":"32_CR18","unstructured":"Roberson, C., Dankel II, D.D.: A morphological neural network approach to information retrieval. In: Twentieth International Florida Artificial Intelligence Research Society Conference, pp. 184\u2013185 (2007)"},{"key":"32_CR19","unstructured":"Cheng-Tian, S., Ke-Yong, W.: Image target detection using morphological neural network. In: International Conference on Computational Intelligence and Security, pp. 234\u2013236 (2009)"},{"key":"32_CR20","doi-asserted-by":"publisher","first-page":"1929","DOI":"10.1016\/j.ins.2010.03.016","volume":"181","author":"P. Sussner","year":"2011","unstructured":"Sussner, P., Esmi, E.L.: Morphological perceptrons with competitive learning: Lattice-theoretical framework and constructive learning algorithm. Information Sciences\u00a0181, 1929\u20131950 (2011)","journal-title":"Information Sciences"},{"key":"32_CR21","unstructured":"Segev, I.: Dendritic processing. In: The Handbook of Brain Theory and Neural Networks, pp. 282\u2013289 (1998)"},{"key":"32_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"588","DOI":"10.1007\/978-3-540-24586-5_72","volume-title":"Progress in Pattern Recognition, Speech and Image Analysis","author":"R. Barr\u00f3n","year":"2003","unstructured":"Barr\u00f3n, R., Sossa, H., Cort\u00e9s, H.: Morphological neural networks with dendrite computation: A geometrical approach. In: Sanfeliu, A., Ruiz-Shulcloper, J. (eds.) CIARP 2003. LNCS, vol.\u00a02905, pp. 588\u2013595. Springer, Heidelberg (2003)"},{"key":"32_CR23","unstructured":"Valle, M.E.R., Pimenta, M.A.: Perceptr\u00f3n morfol\u00f3gico de camada \u00fanica. Technical report, Department of Mathematics of the State University of Londrina, Brazil (2005)"},{"key":"32_CR24","doi-asserted-by":"crossref","unstructured":"Ritter, G.X., Schmalz, M.S.: Learning in lattice neural networks that employ dendritic computing. In: IEEE International Conference on Fuzzy Systems, Vancouver, BC, Canada, pp. 7\u201313 (2006)","DOI":"10.1109\/FUZZY.2006.1681687"},{"key":"32_CR25","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1007\/978-3-540-72687-6_2","volume":"67","author":"G.X. Ritter","year":"2007","unstructured":"Ritter, G.X., Urcid, G.: Learning in lattice neural networks that employ dendritic computing. Computational Intelligence Based on Lattice Theory\u00a067, 25\u201344 (2007)","journal-title":"Computational Intelligence Based on Lattice Theory"},{"key":"32_CR26","series-title":"AISC","doi-asserted-by":"publisher","first-page":"543","DOI":"10.1007\/978-3-642-19644-7_57","volume-title":"Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011","author":"D. Chyzhyk","year":"2011","unstructured":"Chyzhyk, D., Gra\u00f1a, M.: Optimal hyperbox shrinking in dendritic computing applied to Alzheimer\u2019s disease detection in MRI. In: Corchado, E., Sn\u00e1\u0161el, V., Sedano, J., Hassanien, A.E., Calvo, J.L., \u015al\u0119zak, D. (eds.) SOCO 2011. AISC, vol.\u00a087, pp. 543\u2013550. Springer, Heidelberg (2011)"},{"issue":"10-12","key":"32_CR27","doi-asserted-by":"publisher","first-page":"2065","DOI":"10.1016\/j.neucom.2008.11.021","volume":"72","author":"M. Gra\u00f1a","year":"2009","unstructured":"Gra\u00f1a, M.: Special issue on: Lattice computing and natural computing. Neurocomputing\u00a072(10-12), 2065\u20132066 (2009)","journal-title":"Neurocomputing"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-38989-4_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,13]],"date-time":"2019-05-13T16:06:42Z","timestamp":1557763602000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-38989-4_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642389887","9783642389894"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-38989-4_32","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2013]]}}}