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Статті в журналах з теми "EFFICIENT CLASSIFICATION"
E., Niranjan. "Efficient Classification of Images in Wireless Endoscopy." Journal of Advanced Research in Dynamical and Control Systems 12, no. 04-Special Issue (March 31, 2020): 1650–55. http://dx.doi.org/10.5373/jardcs/v12sp4/20201646.
Повний текст джерелаSUN, H. W., K. Y. LAM, D. GOLLMANN, S. L. CHUNG, J. B. LI, and J. G. SUN. "Efficient Fingercode Classification." IEICE Transactions on Information and Systems E91-D, no. 5 (May 1, 2008): 1252–60. http://dx.doi.org/10.1093/ietisy/e91-d.5.1252.
Повний текст джерелаN., SHOBHA RANI. "An Efficient Deep Classification for Malayalam Handwritten Document." Journal of Research on the Lepidoptera 51, no. 2 (April 20, 2020): 01–12. http://dx.doi.org/10.36872/lepi/v51i2/301074.
Повний текст джерелаNaïve, Anna Fay E., and Jocelyn B. Barbosa. "Efficient Accreditation Document Classification Using Naïve Bayes Classifier." Indian Journal of Science and Technology 15, no. 1 (January 5, 2022): 9–18. http://dx.doi.org/10.17485/ijst/v15i1.1761.
Повний текст джерелаRuggieri, S. "Efficient C4.5 [classification algorithm]." IEEE Transactions on Knowledge and Data Engineering 14, no. 2 (2002): 438–44. http://dx.doi.org/10.1109/69.991727.
Повний текст джерелаBruno, Antonio, Giacomo Ignesti, Ovidio Salvetti, Davide Moroni, and Massimo Martinelli. "Efficient Lung Ultrasound Classification." Bioengineering 10, no. 5 (May 5, 2023): 555. http://dx.doi.org/10.3390/bioengineering10050555.
Повний текст джерелаZhao, Puning, and Lifeng Lai. "Efficient Classification with Adaptive KNN." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 12 (May 18, 2021): 11007–14. http://dx.doi.org/10.1609/aaai.v35i12.17314.
Повний текст джерелаKumar, Prabhat, SS Patil, Hemamalini HC, RH Chaudhari, and Rajeev Kumar. "Efficient classification of sugarcane genomes." Journal of Pharmacognosy and Phytochemistry 10, no. 1S (January 1, 2021): 227–32. http://dx.doi.org/10.22271/phyto.2021.v10.i1sd.13474.
Повний текст джерелаYoshinaga, Naoki, and Masaru Kitsuregawa. "Efficient Classification with Conjunctive Features." Journal of Information Processing 20, no. 1 (2012): 228–37. http://dx.doi.org/10.2197/ipsjjip.20.228.
Повний текст джерелаLee, YoonSeok, and Sung-Eui Yoon. "Memory-Efficient NBNN Image Classification." Journal of Computing Science and Engineering 11, no. 1 (March 30, 2017): 1–8. http://dx.doi.org/10.5626/jcse.2017.11.1.1.
Повний текст джерелаДисертації з теми "EFFICIENT CLASSIFICATION"
Cisse, Mouhamadou Moustapha. "Efficient extreme classification." Thesis, Paris 6, 2014. http://www.theses.fr/2014PA066594/document.
Повний текст джерелаWe propose in this thesis new methods to tackle classification problems with a large number of labes also called extreme classification. The proposed approaches aim at reducing the inference conplexity in comparison with the classical methods such as one-versus-rest in order to make learning machines usable in a real life scenario. We propose two types of methods respectively for single label and multilable classification. The first proposed approach uses existing hierarchical information among the categories in order to learn low dimensional binary representation of the categories. The second type of approaches, dedicated to multilabel problems, adapts the framework of Bloom Filters to represent subsets of labels with sparse low dimensional binary vectors. In both approaches, binary classifiers are learned to predict the new low dimensional representation of the categories and several algorithms are also proposed to recover the set of relevant labels. Large scale experiments validate the methods
Monadjemi, Amirhassan. "Towards efficient texture classification and abnormality detection." Thesis, University of Bristol, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.409593.
Повний текст джерелаAlonso, Pedro. "Faster and More Resource-Efficient Intent Classification." Licentiate thesis, Luleå tekniska universitet, EISLAB, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-81178.
Повний текст джерелаChatchinarat, Anuchin. "An efficient emotion classification system using EEG." Thesis, Chatchinarat, Anuchin (2019) An efficient emotion classification system using EEG. PhD thesis, Murdoch University, 2019. https://researchrepository.murdoch.edu.au/id/eprint/52772/.
Повний текст джерелаDuta, Ionut Cosmin. "Efficient and Effective Solutions for Video Classification." Doctoral thesis, Università degli studi di Trento, 2017. https://hdl.handle.net/11572/369314.
Повний текст джерелаDuta, Ionut Cosmin. "Efficient and Effective Solutions for Video Classification." Doctoral thesis, University of Trento, 2017. http://eprints-phd.biblio.unitn.it/2669/1/Duta_PhD-Thesis.pdf.
Повний текст джерелаStein, David Benjamin. "Efficient homomorphically encrypted privacy-preserving automated biometric classification." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/130608.
Повний текст джерелаCataloged from the official PDF of thesis.
Includes bibliographical references (pages 87-96).
This thesis investigates whether biometric recognition can be performed on encrypted data without decrypting the data. Borrowing the concept from machine learning, we develop approaches that cache as much computation as possible to a pre-computation step, allowing for efficient, homomorphically encrypted biometric recognition. We demonstrate two algorithms: an improved version of the k-ishNN algorithm originally designed by Shaul et. al. in [1] and a homomorphically encrypted implementation of a SVM classifier. We provide experimental demonstrations of the accuracy and practical efficiency of both of these algorithms.
by David Benjamin Stein.
M. Eng.
M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
Graham, James T. "Efficient Generation of Reducts and Discerns for Classification." Ohio University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1175639229.
Повний текст джерелаEkman, Carl. "Traffic Sign Classification Using Computationally Efficient Convolutional Neural Networks." Thesis, Linköpings universitet, Datorseende, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157453.
Повний текст джерелаNurrito, Eugenio. "Scattering networks: efficient 2D implementation and application to melanoma classification." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/12261/.
Повний текст джерелаКниги з теми "EFFICIENT CLASSIFICATION"
Antonacopoulos, A. Page segmentation and classification using the description of the background: A flexible and efficient approach for documents with complex and traditional layouts. Manchester: UMIST, 1995.
Знайти повний текст джерелаM, Darby Melody, and Armstrong Laboratory (U.S.). Human Resources Directorate., eds. Efficiency of classification: A revision of the Brogden table. Brooks Air Force Base, TX: Air Force Materiel Command, Armstrong Laboratory, Human Resources Directorate, 1997.
Знайти повний текст джерелаBjörkgren, Magnus A. Case-mix classification and efficiency measurement in long-term care of the elderly. Helsinki: STAKES, 2002.
Знайти повний текст джерелаBrown, Brian Victor. Efficiency of two mass sampling methods for sampling phorid flies (Diptera: Phoridae) in a tropical biodiversity survey. [Los Angeles, Calif.]: Natural History Museum of Los Angeles County, 1995.
Знайти повний текст джерелаHoffman, Frances M. Nursing productivity assessment and costing out nursing services. Philadelphia: Lippincott, 1988.
Знайти повний текст джерелаBalabanova, Evgeniya. Organizational behavior. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1048688.
Повний текст джерелаBurkov, Aleksey. Technical operation of electric ships. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1048423.
Повний текст джерелаNursing productivity assessment and costing out nursing services. Philadelphia: J.B. Lippincott, 1988.
Знайти повний текст джерелаGrigoryan, Ekaterina. Integrated quality management system at the enterprises of the military-industrial complex. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1095033.
Повний текст джерелаW, Bruce John, ed. Land tenure, agrarian structure, and comparative land use efficiency in Zimbabwe: Options for land tenure reform and land redistribution. Madison, Wis: Land Tenure Center, University of Wisconsin- Madison, 1994.
Знайти повний текст джерелаЧастини книг з теми "EFFICIENT CLASSIFICATION"
Park, Sang-Hyeun, and Johannes Fürnkranz. "Efficient Pairwise Classification." In Machine Learning: ECML 2007, 658–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74958-5_65.
Повний текст джерелаAwad, Mariette, and Rahul Khanna. "Support Vector Machines for Classification." In Efficient Learning Machines, 39–66. Berkeley, CA: Apress, 2015. http://dx.doi.org/10.1007/978-1-4302-5990-9_3.
Повний текст джерелаMoed, M., and E. N. Smirnov. "Efficient AdaBoost Region Classification." In Machine Learning and Data Mining in Pattern Recognition, 123–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03070-3_10.
Повний текст джерелаKiel, R. "An Efficient Application of a Rule-Based System." In Information and Classification, 346–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-50974-2_35.
Повний текст джерелаTorgo, Luis. "Computationally Efficient Linear Regression Trees." In Classification, Clustering, and Data Analysis, 409–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-56181-8_45.
Повний текст джерелаSchönberger, Johannes L., Alexander C. Berg, and Jan-Michael Frahm. "Efficient Two-View Geometry Classification." In Lecture Notes in Computer Science, 53–64. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24947-6_5.
Повний текст джерелаShen, Jialie, John Shepherd, and Anne H. H. Ngu. "On Efficient Music Genre Classification." In Database Systems for Advanced Applications, 253–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11408079_24.
Повний текст джерелаShukla, K. K., and Arvind K. Tiwari. "DWT-Based Power Quality Classification." In Efficient Algorithms for Discrete Wavelet Transform, 61–81. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4941-5_5.
Повний текст джерелаYin, Xiaoxin, and Jiawei Han. "Efficient Classification from Multiple Heterogeneous Databases." In Knowledge Discovery in Databases: PKDD 2005, 404–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11564126_40.
Повний текст джерелаGrabocka, Josif, Erind Bedalli, and Lars Schmidt-Thieme. "Efficient Classification of Long Time-Series." In ICT Innovations 2012, 47–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37169-1_5.
Повний текст джерелаТези доповідей конференцій з теми "EFFICIENT CLASSIFICATION"
"Efficient Gridding of Real Microarray Images." In The First International Workshop on Biosignal Processing and Classification. SciTePress - Science and and Technology Publications, 2005. http://dx.doi.org/10.5220/0001192501210130.
Повний текст джерелаChevitarese, Daniel Salles, Daniela Szwarcman, Emilio Vital Brazil, and Bianca Zadrozny. "Efficient Classification of Seismic Textures." In 2018 International Joint Conference on Neural Networks (IJCNN). IEEE, 2018. http://dx.doi.org/10.1109/ijcnn.2018.8489654.
Повний текст джерелаKim, Myung, Ara Khil, and Joung Ryu. "Efficient Fuzzy Rules For Classification." In 2006 International Workshop on Integrating AI and Data Mining. IEEE, 2006. http://dx.doi.org/10.1109/aidm.2006.5.
Повний текст джерелаSakurai, Yasushi, Lei Li, Rosalynn Chong, and Christos Faloutsos. "Efficient Distribution Mining and Classification." In Proceedings of the 2008 SIAM International Conference on Data Mining. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2008. http://dx.doi.org/10.1137/1.9781611972788.58.
Повний текст джерелаVargaftik, Shay, and Yaniv Ben-Itzhak. "Efficient multiclass classification with duet." In EuroSys '22: Seventeenth European Conference on Computer Systems. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3517207.3526970.
Повний текст джерелаKuksa, Pavel P., and Vladimir Pavlovic. "Spatial Representation for Efficient Sequence Classification." In 2010 20th International Conference on Pattern Recognition (ICPR). IEEE, 2010. http://dx.doi.org/10.1109/icpr.2010.1159.
Повний текст джерелаChamansingh, Nicholas, and Patrick Hosein. "Efficient sentiment classification of Twitter feeds." In 2016 IEEE International Conference on Knowledge Engineering and Applications (ICKEA). IEEE, 2016. http://dx.doi.org/10.1109/ickea.2016.7802996.
Повний текст джерелаBotwicz, Jakub, and Piotr Buciak. "Hardware Support for Efficient Data Classification." In EUROCON 2007 - The International Conference on "Computer as a Tool". IEEE, 2007. http://dx.doi.org/10.1109/eurcon.2007.4400607.
Повний текст джерелаBhardwaj, Shweta, Mukundhan Srinivasan, and Mitesh M. Khapra. "Efficient Video Classification Using Fewer Frames." In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2019. http://dx.doi.org/10.1109/cvpr.2019.00044.
Повний текст джерелаHung, Che-Lun, Hsiao-Hsi Wang, Shih-Wei Guo, Yaw-Ling Lin, and Kuan-Ching Li. "Efficient GPGPU-Based Parallel Packet Classification." In 2011 IEEE 10th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). IEEE, 2011. http://dx.doi.org/10.1109/trustcom.2011.186.
Повний текст джерелаЗвіти організацій з теми "EFFICIENT CLASSIFICATION"
Deshwal, Pinky, Bhanu Prakash Ila2, Naveen Mehata Kondamudi1, and Anmol Gaurav. Software parts classification for agile and efficient product life cycle management. Peeref, April 2023. http://dx.doi.org/10.54985/peeref.2304p5417007.
Повний текст джерелаJohnson, Cecil D., Joseph Zeldner, and Dolores Scholarios. Developing New Test Selection and Weight Stabilization Techniques for Designing Classification Efficient Composites. Fort Belvoir, VA: Defense Technical Information Center, July 1995. http://dx.doi.org/10.21236/ada298740.
Повний текст джерелаDownard, Alicia, Stephen Semmens, and Bryant Robbins. Automated characterization of ridge-swale patterns along the Mississippi River. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40439.
Повний текст джерелаAsari, Vijayan, Paheding Sidike, Binu Nair, Saibabu Arigela, Varun Santhaseelan, and Chen Cui. PR-433-133700-R01 Pipeline Right-of-Way Automated Threat Detection by Advanced Image Analysis. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), December 2015. http://dx.doi.org/10.55274/r0010891.
Повний текст джерелаDesa, Hazry, and Muhammad Azizi Azizan. OPTIMIZING STOCKPILE MANAGEMENT THROUGH DRONE MAPPING FOR VOLUMETRIC CALCULATION. Penerbit Universiti Malaysia Perlis, 2023. http://dx.doi.org/10.58915/techrpt2023.004.
Повний текст джерелаSearcy, Stephen W., and Kalman Peleg. Adaptive Sorting of Fresh Produce. United States Department of Agriculture, August 1993. http://dx.doi.org/10.32747/1993.7568747.bard.
Повний текст джерелаWang, Jianyong, and George Karypis. HARMONY: Efficiently Mining the Best Rules for Classification. Fort Belvoir, VA: Defense Technical Information Center, September 2004. http://dx.doi.org/10.21236/ada439469.
Повний текст джерелаCheng, Cheng, and Melody Darby. Efficiency of Classification: A Revision of the Brogden Table. Fort Belvoir, VA: Defense Technical Information Center, July 1997. http://dx.doi.org/10.21236/ada327930.
Повний текст джерелаThompson, David, and Damon Hartley. Air classification of forest residue for tissue and ash separation efficiency. Office of Scientific and Technical Information (OSTI), December 2022. http://dx.doi.org/10.2172/1905857.
Повний текст джерелаSavosko, V., I. Komarova, Yu Lykholat, E. Yevtushenko, and T. Lykholat. Predictive model of heavy metals inputs to soil at Kryvyi Rih District and its use in the training for specialists in the field of Biology. IOP Publishing, 2021. http://dx.doi.org/10.31812/123456789/4511.
Повний текст джерела