Academic literature on the topic 'Class-binarization'
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Journal articles on the topic "Class-binarization"
Polyakova, Marina V., and Alexandr G. Nesteryuk. "IMPROVEMENT OF THE COLOR TEXT IMAGE BINARIZATION METHOD USING THE MINIMUM-DISTANCE CLASSIFIER." Applied Aspects of Information Technology 4, no. 1 (April 10, 2021): 57–70. http://dx.doi.org/10.15276/aait.01.2021.5.
Full textCHI, ZHERU, and QING WANG. "DOCUMENT IMAGE BINARIZATION WITH FEEDBACK FOR IMPROVING CHARACTER SEGMENTATION." International Journal of Image and Graphics 05, no. 02 (April 2005): 281–309. http://dx.doi.org/10.1142/s0219467805001768.
Full textHRŮZA, JAN, and PETER šTĚPÁNEK. "Speedup of logic programs by binarization and partial deduction." Theory and Practice of Logic Programming 4, no. 3 (April 16, 2004): 355–69. http://dx.doi.org/10.1017/s147106840300190x.
Full textSyahrial, Syahrial, and Rizal Lamusu. "Pembentua Pola Desain Motif Karawo Gorontalo Menggunakan K-Means Color Quantization dan Structured Forest Edge Detecion." Jurnal Teknologi Informasi dan Ilmu Komputer 8, no. 3 (June 15, 2021): 625. http://dx.doi.org/10.25126/jtiik.2021834491.
Full textSaddami, Khairun, Fitri Arnia, Yuwaldi Away, and Khairul Munadi. "Kombinasi Metode Nilai Ambang Lokal dan Global untuk Restorasi Dokumen Jawi Kuno." Jurnal Teknologi Informasi dan Ilmu Komputer 7, no. 1 (February 4, 2020): 163. http://dx.doi.org/10.25126/jtiik.2020701741.
Full textNg, Selina, Peter Tse, and Kwok Tsui. "A One-Versus-All Class Binarization Strategy for Bearing Diagnostics of Concurrent Defects." Sensors 14, no. 1 (January 13, 2014): 1295–321. http://dx.doi.org/10.3390/s140101295.
Full textIeno, Egidio, Luis Manuel Garcés, Alejandro José Cabrera, and Tales Cleber Pimenta. "Simple generation of threshold for images binarization on FPGA." Ingeniería e Investigación 35, no. 3 (December 14, 2015): 69–75. http://dx.doi.org/10.15446/ing.investig.v35n3.51750.
Full textVizilter, Y. V., A. Y. Rubis, S. Y. Zheltov, and O. V. Vygolov. "CHANGE DETECTION VIA MORPHOLOGICAL COMPARATIVE FILTERS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-3 (June 3, 2016): 279–86. http://dx.doi.org/10.5194/isprsannals-iii-3-279-2016.
Full textVizilter, Y. V., A. Y. Rubis, S. Y. Zheltov, and O. V. Vygolov. "CHANGE DETECTION VIA MORPHOLOGICAL COMPARATIVE FILTERS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-3 (June 3, 2016): 279–86. http://dx.doi.org/10.5194/isprs-annals-iii-3-279-2016.
Full textYanagisawa, Toshifumi, Kohki Kamiya, and Hirohisa Kurosaki. "New NEO Detection Techniques using the FPGA." Publications of the Astronomical Society of Japan 73, no. 3 (March 26, 2021): 519–29. http://dx.doi.org/10.1093/pasj/psab017.
Full textDissertations / Theses on the topic "Class-binarization"
Ringdahl, Benjamin. "Gaussian Process Multiclass Classification : Evaluation of Binarization Techniques and Likelihood Functions." Thesis, Linnéuniversitetet, Institutionen för matematik (MA), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-87952.
Full textBook chapters on the topic "Class-binarization"
Fürnkranz, Johannes. "Class Binarization." In Encyclopedia of Machine Learning and Data Mining, 1–2. Boston, MA: Springer US, 2016. http://dx.doi.org/10.1007/978-1-4899-7502-7_915-1.
Full textFürnkranz, Johannes. "Class Binarization." In Encyclopedia of Machine Learning and Data Mining, 203–4. Boston, MA: Springer US, 2017. http://dx.doi.org/10.1007/978-1-4899-7687-1_915.
Full textKrawczyk, Bartosz, Bridget T. McInnes, and Alberto Cano. "Sentiment Classification from Multi-class Imbalanced Twitter Data Using Binarization." In Lecture Notes in Computer Science, 26–37. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59650-1_3.
Full textŻak, Michał, and Michał Woźniak. "Performance Analysis of Binarization Strategies for Multi-class Imbalanced Data Classification." In Lecture Notes in Computer Science, 141–55. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50423-6_11.
Full textArab Cohen, Diego, and Elmer Andrés Fernández. "SVMTOCP: A Binary Tree Base SVM Approach through Optimal Multi-class Binarization." In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 472–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33275-3_58.
Full textMéndez, Rebeca, Beatriz Remeseiro, Diego Peteiro-Barral, and Manuel G. Penedo. "Evaluation of Class Binarization and Feature Selection in Tear Film Classification using TOPSIS." In Communications in Computer and Information Science, 179–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44440-5_11.
Full textReese, Timothy, and Yu Michael Zhu. "LB-CNN: Convolutional Neural Network with Latent Binarization for Large Scale Multi-class Classification." In Advances in Intelligent Systems and Computing, 193–214. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3357-7_8.
Full textConference papers on the topic "Class-binarization"
Gomez, J., and R. Kozma. "Fuzzy class binarization using coupled map lattices." In IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS '04. IEEE, 2004. http://dx.doi.org/10.1109/nafips.2004.1337438.
Full textGao, Zhenyu, and Gongjin Lan. "A NEAT-based multiclass classification method with class binarization." In GECCO '21: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3449726.3459509.
Full textReese, Timothy, and Michael Zhu. "LB-CNN: Convolutional Neural Network with Latent Binarization for Large Scale Multi-class Classification." In 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, 2020. http://dx.doi.org/10.1109/icmla51294.2020.00031.
Full text"Multi-criteria Evaluation of Class Binarization and Feature Selection in Tear Film Lipid Layer Classification." In International Conference on Agents and Artificial Intelligence. SciTePress - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004224300620070.
Full textMahandi, Yogi Dwi, Eko Mulyanto Yuniamo, Yoyon Kusnendar Suprapto, and Endang Purwaningsih. "Ink bleed-through binarization of Javanese handwritten ancient document using local adaptive threshold based on local class width." In 2017 International Seminar on Intelligent Technology and its Applications (ISITIA). IEEE, 2017. http://dx.doi.org/10.1109/isitia.2017.8124097.
Full textSu, Jinhua, and Yuanyuan Zhang. "Triple-O for SHL Recognition Challenge: An Ensemble Framework for Multi-class Imbalance and Training-testing Distribution Inconsistency by OvO Binarization with Confidence Weight of One-class Classification." In UbiComp '21: The 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3460418.3479375.
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