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Relevant bibliographies by topics / Novel class discovery

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Academic literature on the topic 'Novel class discovery'

Author: Grafiati

Published: 9 November 2024

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Journal articles on the topic "Novel class discovery"

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Chen, Guangyao, Peixi Peng, Yangru Huang, Mengyue Geng, and Yonghong Tian. "Adaptive Discovering and Merging for Incremental Novel Class Discovery." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 10 (2024): 11276–84. http://dx.doi.org/10.1609/aaai.v38i10.29006.

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One important desideratum of lifelong learning aims to discover novel classes from unlabelled data in a continuous manner. The central challenge is twofold: discovering and learning novel classes while mitigating the issue of catastrophic forgetting of established knowledge. To this end, we introduce a new paradigm called Adaptive Discovering and Merging (ADM) to discover novel categories adaptively in the incremental stage and integrate novel knowledge into the model without affecting the original knowledge. To discover novel classes adaptively, we decouple representation learning and novel c

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Dandliker, Peter J., Steve D. Pratt, Angela M. Nilius, et al. "Novel Antibacterial Class." Antimicrobial Agents and Chemotherapy 47, no. 12 (2003): 3831–39. http://dx.doi.org/10.1128/aac.47.12.3831-3839.2003.

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ABSTRACT We report the discovery and characterization of a novel ribosome inhibitor (NRI) class that exhibits selective and broad-spectrum antibacterial activity. Compounds in this class inhibit growth of many gram-positive and gram-negative bacteria, including the common respiratory pathogens Streptococcus pneumoniae, Haemophilus influenzae, Staphylococcus aureus, and Moraxella catarrhalis, and are nontoxic to human cell lines. The first NRI was discovered in a high-throughput screen designed to identify inhibitors of cell-free translation in extracts from S. pneumoniae. The chemical structur

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Wang, Weishuai, Ting Lei, Qingchao Chen, and Yang Liu. "Semantic-Guided Novel Category Discovery." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 6 (2024): 5607–14. http://dx.doi.org/10.1609/aaai.v38i6.28371.

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The Novel Category Discovery problem aims to cluster an unlabeled set with the help of a labeled set consisting of disjoint but related classes. However, existing models treat class names as discrete one-hot labels and ignore the semantic understanding of these classes. In this paper, we propose a new setting named Semantic-guided Novel Category Discovery (SNCD), which requires the model to not only cluster the unlabeled images but also semantically recognize these images based on a set of their class names. The first challenge we confront pertains to effectively leveraging the class names of

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Shinozuka, Tsuyoshi, Shuichiro Ito, Takako Kimura, Masanori Izumi та Kenji Wakabayashi. "Discovery of a Novel Class of ERRα Agonists". ACS Medicinal Chemistry Letters 12, № 5 (2021): 817–21. http://dx.doi.org/10.1021/acsmedchemlett.1c00100.

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Cubitt, Jonathan, Mari Davies, Ross Riseley, et al. "Beware of N-Benzoyloxybenzamides." Molecules 29, no. 21 (2024): 5143. http://dx.doi.org/10.3390/molecules29215143.

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Following a High-Throughput Screening campaign to discover inhibitors of acid ceramidase, we report the novel and extremely potent covalent inhibitor, 1. Following resynthesis and stability monitoring, we discovered that 1 is chemically unstable and reacts with DMSO at room temperature. This mode of decomposition is likely general for this class of compound, and we urge caution for their use in drug discovery research.

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Feng, Juexiao, Yuhong Yang, Yanchun Xie, et al. "Debiased Novel Category Discovering and Localization." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 2 (2024): 1753–60. http://dx.doi.org/10.1609/aaai.v38i2.27943.

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In recent years, object detection in deep learning has experienced rapid development. However, most existing object detection models perform well only on closed-set datasets, ignoring a large number of potential objects whose categories are not defined in the training set. These objects are often identified as background or incorrectly classified as pre-defined categories by the detectors. In this paper, we focus on the challenging problem of Novel Class Discovery and Localization (NCDL), aiming to train detectors that can detect the categories present in the training data, while also actively

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Shearer, Barry G., Hari S. Patel, Andrew N. Billin та ін. "Discovery of a novel class of PPARδ partial agonists". Bioorganic & Medicinal Chemistry Letters 18, № 18 (2008): 5018–22. http://dx.doi.org/10.1016/j.bmcl.2008.08.011.

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Cheleski, Juliana, Josmar R. Rocha, Matheus P. Pinheiro, et al. "Novel insights for dihydroorotate dehydrogenase class 1A inhibitors discovery." European Journal of Medicinal Chemistry 45, no. 12 (2010): 5899–909. http://dx.doi.org/10.1016/j.ejmech.2010.09.055.

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Fukunaga, Alex S. "Automated Discovery of Local Search Heuristics for Satisfiability Testing." Evolutionary Computation 16, no. 1 (2008): 31–61. http://dx.doi.org/10.1162/evco.2008.16.1.31.

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The development of successful metaheuristic algorithms such as local search for a difficult problem such as satisfiability testing (SAT) is a challenging task. We investigate an evolutionary approach to automating the discovery of new local search heuristics for SAT. We show that several well-known SAT local search algorithms such as Walksat and Novelty are composite heuristics that are derived from novel combinations of a set of building blocks. Based on this observation, we developed CLASS, a genetic programming system that uses a simple composition operator to automatically discover SAT loc

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Hilgeroth, Andreas, Marc Hemmer, Sebastian Neuber, Josef Molnar, and Hermann Lage. "Discovery of 9,10-Dihydroacridines as Novel Class of ABCB1 Inhibitors." Medicinal Chemistry 11, no. 4 (2015): 329–35. http://dx.doi.org/10.2174/1573406410666141111100720.

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Dissertations / Theses on the topic "Novel class discovery"

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Troisemaine, Colin. "Novel class discovery in tabular data : an application to network fault diagnosis." Electronic Thesis or Diss., Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2024. http://www.theses.fr/2024IMTA0422.

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Cette thèse porte sur la découverte de nouvelles classes dans le contexte de données tabulaires. Le problème de Novel Class Discovery (NCD) consiste à extraire d’un ensemble étiqueté de classes déjà connues des connaissances qui permettront de partitionner plus précisément un ensemble non étiqueté de nouvelles classes. Bien que le NCD ait récemment fait l’objet d’une grande attention de la part de la communauté, il est généralement résolu sur des problèmes de vision par ordinateur et parfois dans des conditions irréalistes. En particulier, le nombre de nouvelles classes est souvent supposé éta

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Ordway, Gregory A. "Discovery of a New Biological Target for the Development of a Novel Class of Antidepressant Drugs." Digital Commons @ East Tennessee State University, 2017. https://dc.etsu.edu/etsu-works/8655.

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Parker, Mackenzie James. "Discovery and investigation of the novel overall activity allosteric regulation of the Bacillus subtilis class Ib ribonucleotide reductase." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/109681.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Chemistry, 2017.<br>Page 490 blank. Cataloged from PDF version of thesis.<br>Includes bibliographical references.<br>Ribonucleotide reductases (RNRs) catalyze the reduction of nucleotides to 2'-deoxynucleotides in all organisms. Class lb RNRs consist of two subunits: a houses the catalytic and allosteric effector binding sites, and p houses a catalytically essential dimanganic-tyrosyl radical (Mn(III)2-Y*). The allosteric regulation of lb RNR activity has only been studied with the Salmonella enterica enzyme, which exhibits s

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Books on the topic "Novel class discovery"

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Stanton, Benjamin Z. Discovery and mechanistic characterization of a novel class of sonic hedgehog inhibitors. 2009.

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Yang, Jimmy Chen. Discovery, synthesis, and steps toward target identification of the novel 2-amino-3-hydroxyindole anti-malaria drug class. 2009.

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Coqueiro, Wilma dos Santos. Poéticas do deslocamento: O Bildungsroman de autoria feminina contemporânea. Brazil Publishing, 2021. http://dx.doi.org/10.31012/978-65-5861-338-1.

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The novel as a great socio-literary institution, which projects the ideals of bourgeois class, becomes the maximum expression of modernity from the 18th century on. The genre, characterized by its malleability and ambivalence, reflects an individualistic and innovative orientation. In this sense, the novels of characters originate subtypes, as the Bildungsroman, whose paradigmatic model would be Wilhelm Meister’s Apprenticeship (1795), by the German writer Johann Wolfgang von Goethe. Since the novel is a genre in constant becoming, the concept of Bildungsroman undergoes problematizations and r

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Ryoo, Jean J., Jane Margolis, and Charis JB. Power On! The MIT Press, 2022. http://dx.doi.org/10.7551/mitpress/14166.001.0001.

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A diverse group of teenage friends learn how computing can be personally and politically empowering and why all students need access to computer science education. This lively graphic novel follows a diverse group of teenage friends as they discover that computing can be fun, creative, and empowering. Taylor, Christine, Antonio, and Jon seem like typical young teens—they communicate via endless texting, they share jokes, they worry about starting high school, and they have each other's backs. But when a racially-biased artificial intelligence system causes harm in their neighborhood, they sudd

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Carmean, Karen. Ernest J. Gaines. Greenwood, 1998. http://dx.doi.org/10.5040/9798400647208.

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Drawing on his rich Louisiana past, Ernest J. Gaines creates a fictional world representative of the human experience. His work explores the complex racial relationships—so much a part of Southern history and culture—and the unwritten and unspoken conventions of caste and class. Often structured around journeys of discovery, Gaines' works affirm the integrity of the individual and the unequivocal place in American life for Americans of African descent. This study offers a clear, accessible reading of Gaines' fiction. It analyzes in turn all of Gaines' novels as well as his collection of short

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Cao, Gang, and Lance DeLong. Physics of Spin-Orbit-Coupled Oxides. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780199602025.001.0001.

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Prior to 2010, most research on the physics and chemistry of transition metal oxides was dominated by compounds of the 3d-transition elements such as Cr, Mn, Fe, Co, Ni, and Cu. These materials exhibited novel, important phenomena that include giant magnetoresistance in manganites, as well as high-temperature superconductivity in doped La<sub>2</sub>CuO<sub>4</sub> and related cuprates. The discovery in 1994 of an exotic superconducting state in Sr<sub>2</sub>RuO<sub>4</sub> shifted some interest toward ruthenates. Moreover, the realization in 2008 that a novel variant of the classic Mott meta

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Zangwill, Andrew. A Mind Over Matter. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198869108.001.0001.

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Philip W. Anderson (1923–2020) is widely regarded as one of the most accomplished and influential physicists of the second half of the twentieth century. Educated at Harvard, he served during World War II as a radar engineer, and began a thirty-five year career at Bell Laboratories in 1949. He was soon recognized as one of the pre-eminent theoretical physicists in the world, specializing in understanding the collective behavior of the vast number of atoms and electrons in a sample of solid matter. He won a one-third share of the 1977 Nobel Prize for Physics for his discovery of a phenomenon co

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Zola, Émile. The Ladies' Paradise. Translated by Brian Nelson. Oxford University Press, 2008. http://dx.doi.org/10.1093/owc/9780199536900.001.0001.

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The Ladies’ Paradise (Au Bonheur des Dames) recounts the spectacular development of the modern department store in late nineteenth century Paris. The store is a symbol of capitalism, of the modern city, and of the bourgeois family; it is emblematic of consumer culture and the changes in sexual attitudes and class relations taking place at the end of the century. Octave Mouret, the store’s owner-manager, masterfully exploits the desires of his female customers. In his private life as much as in business he is the great seducer. But when he falls in love with the innocent Denise Baudu, he discov

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Crease, Robert P., and Peter D. Bond. The Leak. The MIT Press, 2022. http://dx.doi.org/10.7551/mitpress/14577.001.0001.

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How the discovery of a harmless leak of radiation sparked a media firestorm, political grandstanding, and fearmongering that closed a vital scientific facility. In 1997, scientists at Brookhaven National Laboratory found a small leak of radioactive water near their research reactor. Brookhaven was—and is—a world-class, Nobel Prize–winning lab, and its reactor was the cornerstone of US materials science and one of the world's finest research facilities. The leak, harmless to health, came from a storage pool rather than the reactor. But its discovery triggered a media and political firestorm tha

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Eliot, George, and K. M. Newton. Daniel Deronda. Edited by Graham Handley. Oxford University Press, 2014. http://dx.doi.org/10.1093/owc/9780199682867.001.0001.

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She felt herself standing at the game of life with many eyes upon her, daring everything to win much.’ Gwendolen Harleth gambles her happiness when she marries a sadistic aristocrat for his money. Beautiful, neurotic, and self-centred, Gwendolen is trapped in an increasingly destructive relationship, and only her chance encounter with the idealistic Deronda seems to offer the hope of a brighter future. Deronda is searching for a vocation, and in embracing the Jewish cause he finds one that is both visionary and life-changing. Damaged by their pasts, and alienated from the society around them,

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Book chapters on the topic "Novel class discovery"

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Roy, Subhankar, Mingxuan Liu, Zhun Zhong, Nicu Sebe, and Elisa Ricci. "Class-Incremental Novel Class Discovery." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19827-4_19.

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Joseph, K. J., Sujoy Paul, Gaurav Aggarwal, et al. "Novel Class Discovery Without Forgetting." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-20053-3_33.

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Nguyen, Hung, Xuejian Wang, and Leman Akoglu. "Continual Rare-Class Recognition with Emerging Novel Subclasses." In Machine Learning and Knowledge Discovery in Databases. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46147-8_2.

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Feng, Wei, Lie Ju, Lin Wang, Kaimin Song, and Zongyuan Ge. "Towards Novel Class Discovery: A Study in Novel Skin Lesions Clustering." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43987-2_3.

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Islam, Mohammad Raihanul. "Recurring and Novel Class Detection in Concept-Drifting Data Streams Using Class-Based Ensemble." In Advances in Knowledge Discovery and Data Mining. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06605-9_35.

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Kefi, Takoua, Riadh Ksantini, Mohamed Bécha Kaâniche, and Adel Bouhoula. "A Novel Incremental Covariance-Guided One-Class Support Vector Machine." In Machine Learning and Knowledge Discovery in Databases. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46227-1_2.

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Swalley, Susanne E., and Atwood K. Cheung. "Chapter 8. Identification of a Novel Class of Small Molecules for Spinal Muscular Atrophy Through High-throughput Phenotypic Screening." In Drug Discovery. Royal Society of Chemistry, 2020. http://dx.doi.org/10.1039/9781839160721-00140.

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Troisemaine, Colin, Joachim Flocon-Cholet, Stéphane Gosselin, Alexandre Reiffers-Masson, Sandrine Vaton, and Vincent Lemaire. "An Interactive Interface for Novel Class Discovery in Tabular Data." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43430-3_18.

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Hassan, Md Rafiul, Kotagiri Ramamohanarao, Chandan Karmakar, M. Maruf Hossain, and James Bailey. "A Novel Scalable Multi-class ROC for Effective Visualization and Computation." In Advances in Knowledge Discovery and Data Mining. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13657-3_14.

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Masud, Mohammad M., Jing Gao, Latifur Khan, Jiawei Han, and Bhavani Thuraisingham. "Classification and Novel Class Detection in Data Streams with Active Mining." In Advances in Knowledge Discovery and Data Mining. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13672-6_31.

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Conference papers on the topic "Novel class discovery"

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Michalski, Tomasz, Dawid Rymarczyk, Daniel Barczyk, and Bartosz Zieliński. "ProtoNCD: Prototypical Parts for Interpretable Novel Class Discovery." In ESANN 2024. Ciaco - i6doc.com, 2024. http://dx.doi.org/10.14428/esann/2024.es2024-70.

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Liu, Yu, Yaqi Cai, Qi Jia, Binglin Qiu, Weimin Wang, and Nan Pu. "Novel Class Discovery for Ultra-Fine-Grained Visual Categorization." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2024. http://dx.doi.org/10.1109/cvpr52733.2024.01674.

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Liu, Jiaming, Yangqiming Wang, Tongze Zhang, Yulu Fan, Qinli Yang, and Junming Shao. "Open-world Semi-supervised Novel Class Discovery." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/445.

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Traditional semi-supervised learning tasks assume that both labeled and unlabeled data follow the same class distribution, but the realistic open-world scenarios are of more complexity with unknown novel classes mixed in the unlabeled set. Therefore, it is of great challenge to not only recognize samples from known classes but also discover the unknown number of novel classes within the unlabeled data. In this paper, we introduce a new open-world semi-supervised novel class discovery approach named OpenNCD, a progressive bi-level contrastive learning method over multiple prototypes. The propos

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Gu, Peiyan, Chuyu Zhang, Ruijie Xu, and Xuming He. "Class-relation Knowledge Distillation for Novel Class Discovery." In 2023 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2023. http://dx.doi.org/10.1109/iccv51070.2023.01510.

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Zhao, Yuyang, Zhun Zhong, Nicu Sebe, and Gim Hee Lee. "Novel Class Discovery in Semantic Segmentation." In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2022. http://dx.doi.org/10.1109/cvpr52688.2022.00430.

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Mukherjee, Tanmoy, and Nikos Deligiannis. "Novel Class Discovery: A Dependency Approach." In ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022. http://dx.doi.org/10.1109/icassp43922.2022.9747827.

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Li, Wenbin, Zhichen Fan, Jing Huo, and Yang Gao. "Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery." In 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2023. http://dx.doi.org/10.1109/cvpr52729.2023.00336.

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Zhong, Zhun, Enrico Fini, Subhankar Roy, Zhiming Luo, Elisa Ricci, and Nicu Sebe. "Neighborhood Contrastive Learning for Novel Class Discovery." In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2021. http://dx.doi.org/10.1109/cvpr46437.2021.01072.

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Fini, Enrico, Enver Sangineto, Stephane Lathuiliere, Zhun Zhong, Moin Nabi, and Elisa Ricci. "A Unified Objective for Novel Class Discovery." In 2021 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2021. http://dx.doi.org/10.1109/iccv48922.2021.00915.

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Wei, Qian, Zongyong Cui, Yijie Deng, Bin Li, and Zongjie Cao. "Research on Novel Class Discovery of SAR Target." In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2023. http://dx.doi.org/10.1109/igarss52108.2023.10283051.

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Reports on the topic "Novel class discovery"

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Barkan, Terrance. The Role of Graphene in Achieving e-Mobility in Aerospace Applications. SAE International, 2022. http://dx.doi.org/10.4271/epr2022030.

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<div class="section abstract"><div class="htmlview paragraph">Advanced two-dimensional (2D) materials discovered in the last two decades are now being produced at scale and are contributing to a wide range of performance enhancements in engineering applications. The most well-known of these novel materials is graphene, a nearly transparent nanomaterial comprising a single layer of bonded carbon atoms. In relative terms, it has the highest level of heat and electrical conductivity, protects against ultraviolet rays, and is strongest material ever measured. These properties have made

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Altstein, Miriam, and Ronald J. Nachman. Rational Design of Insect Control Agent Prototypes Based on Pyrokinin/PBAN Neuropeptide Antagonists. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7593398.bard.

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The general objective of this study was to develop rationally designed mimetic antagonists (and agonists) of the PK/PBAN Np class with enhanced bio-stability and bioavailability as prototypes for effective and environmentally friendly pest insect management agents. The PK/PBAN family is a multifunctional group of Nps that mediates key functions in insects (sex pheromone biosynthesis, cuticular melanization, myotropic activity, diapause and pupal development) and is, therefore, of high scientific and applied interest. The objectives of the current study were: (i) to identify an antagonist bioph

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Dawson, William O., and Moshe Bar-Joseph. Creating an Ally from an Adversary: Genetic Manipulation of Citrus Tristeza. United States Department of Agriculture, 2004. http://dx.doi.org/10.32747/2004.7586540.bard.

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Citrus is one of the major agricultural crops common to Israel and the United States, important in terms of nutrition, foreign exchange, and employment. The economy of both citrus industries have been chronically plagued by diseases caused by Citrus tristeza virus (CTV). The short term solution until virus-resistant plants can be used is the use of mild strain cross-protection. We are custom designing "ideal" protecting viruses to immunize trees against severe isolates of CTV by purposely inoculating existing endangered trees and new plantings to be propagated as infected (protected) citrus bu

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