Littérature scientifique sur le sujet « Constraints annotation »
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Articles de revues sur le sujet "Constraints annotation"
SAMPSON, GEOFFREY, et ANNA BABARCZY. « Definitional and human constraints on structural annotation of English ». Natural Language Engineering 14, no 4 (octobre 2008) : 471–94. http://dx.doi.org/10.1017/s1351324908004695.
Texte intégralAnderson, Matthew, Salman Sadiq, Muzammil Nahaboo Solim, Hannah Barker, David H. Steel, Maged Habib et Boguslaw Obara. « Biomedical Data Annotation : An OCT Imaging Case Study ». Journal of Ophthalmology 2023 (22 août 2023) : 1–9. http://dx.doi.org/10.1155/2023/5747010.
Texte intégralLin, Jia-Wen, Feng Lu, Tai-Chen Lai, Jing Zou, Lin-Ling Guo, Zhi-Ming Lin et Li Li. « Meibomian glands segmentation in infrared images with limited annotation ». International Journal of Ophthalmology 17, no 3 (18 mars 2024) : 401–7. http://dx.doi.org/10.18240/ijo.2024.03.01.
Texte intégralGrác, Marek, Markéta Masopustová et Marie Valíčková. « Affordable Annotation of the Mobile App Reviews ». Journal of Linguistics/Jazykovedný casopis 70, no 2 (1 décembre 2019) : 491–97. http://dx.doi.org/10.2478/jazcas-2019-0077.
Texte intégralOlivier, Brett G., et Frank T. Bergmann. « The Systems Biology Markup Language (SBML) Level 3 Package : Flux Balance Constraints ». Journal of Integrative Bioinformatics 12, no 2 (1 juin 2015) : 660–90. http://dx.doi.org/10.1515/jib-2015-269.
Texte intégralLuo, Yuan, et Peter Szolovits. « Efficient Queries of Stand-off Annotations for Natural Language Processing on Electronic Medical Records ». Biomedical Informatics Insights 8 (janvier 2016) : BII.S38916. http://dx.doi.org/10.4137/bii.s38916.
Texte intégralISMAIL, MOHAMED MAHER BEN, et OUIEM BCHIR. « AUTOMATIC IMAGE ANNOTATION BASED ON SEMI-SUPERVISED CLUSTERING AND MEMBERSHIP-BASED CROSS MEDIA RELEVANCE MODEL ». International Journal of Pattern Recognition and Artificial Intelligence 26, no 06 (septembre 2012) : 1255009. http://dx.doi.org/10.1142/s0218001412550099.
Texte intégralBABARCZY, ANNA, JOHN CARROLL et GEOFFREY SAMPSON. « Definitional, personal, and mechanical constraints on part of speech annotation performance ». Natural Language Engineering 12, no 1 (6 décembre 2005) : 77–90. http://dx.doi.org/10.1017/s1351324905003803.
Texte intégralGe, Hongwei, Zehang Yan, Jing Dou, Zhen Wang et ZhiQiang Wang. « A Semisupervised Framework for Automatic Image Annotation Based on Graph Embedding and Multiview Nonnegative Matrix Factorization ». Mathematical Problems in Engineering 2018 (27 juin 2018) : 1–11. http://dx.doi.org/10.1155/2018/5987906.
Texte intégralNursimulu, Nirvana, Alan M. Moses et John Parkinson. « Architect : A tool for aiding the reconstruction of high-quality metabolic models through improved enzyme annotation ». PLOS Computational Biology 18, no 9 (8 septembre 2022) : e1010452. http://dx.doi.org/10.1371/journal.pcbi.1010452.
Texte intégralThèses sur le sujet "Constraints annotation"
Schild, Erwan. « De l’importance de valoriser l’expertise humaine dans l’annotation : application à la modélisation de textes en intentions à l’aide d’un clustering interactif ». Electronic Thesis or Diss., Université de Lorraine, 2024. http://www.theses.fr/2024LORR0024.
Texte intégralUsually, the task of annotation, used to train conversational assistants, relies on domain experts who understand the subject matter to model. However, data annotation is known to be a challenging task due to its complexity and subjectivity. Therefore, it requires strong analytical skills to model the text in dialogue intention. As a result, most annotation projects choose to train experts in analytical tasks to turn them into "super-experts". In this thesis, we decided instead to focus on the real knowledge of experts by proposing a new annotation method based on Interactive Clustering. This method involves a Human-Machine cooperation, where the machine performs clustering to provide an initial learning base, and the expert annotates MUST-LINK or CANNOT-LINK constraints between the data to iteratively refine the proposed learning base. Such annotation has the advantage of being more instinctive, as experts can associate or differentiate data according to the similarity of their use cases, allowing them to handle the data as they would professionally do on a daily basis. During our studies, we have been able to show that this method significantly reduces the complexity of designing a learning base, notably by reducing the need for training the experts involved in an annotation project. We provide a technical implementation of this method (algorithms and associated graphical interface), as well as a study of optimal parameters to achieve a coherent learning base with minimal annotation. We have also conducted a cost study (both technical and human) to confirm that the use of such a method is realistic in an industrial context. Finally, we provide a set of recommendations to help this method reach its full potential, including: (1) advice aimed at framing the annotation strategy, (2) assistance in identifying and resolving differences of opinion between annotators, (3) rentability indicators for each expert intervention, and (4) methods for analyzing the relevance of the learning base under construction. In conclusion, this thesis provides an innovative approach to design a learning base for a conversational assistant, involving domain experts for their actual knowledge, while requiring a minimum of analytical and technical skills. This work opens the way for more accessible methods for building such assistants
Ong, Wai, Trang Vu, Klaus Lovendahl, Jenna Llull, Margrethe Serres, Margaret Romine et Jennifer Reed. « Comparisons of Shewanella strains based on genome annotations, modeling, and experiments ». BioMed Central, 2014. http://hdl.handle.net/10150/610105.
Texte intégralBoyd, Adriane Amelia. « Detecting and Diagnosing Grammatical Errors for Beginning Learners of German : From Learner Corpus Annotation to Constraint Satisfaction Problems ». The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1325170396.
Texte intégralWodke, Judith. « Organization and integration of large-scale datasets for designing a metabolic model and re-annotating the genome of mycoplasma pneumoniae ». Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät I, 2013. http://dx.doi.org/10.18452/16699.
Texte intégralMycoplasma pneumoniae, one of the smallest known self-replicating organisms, is a promising model organism in systems biology when aiming to assess understanding of an entire living cell. One key step towards this goal is the design of mathematical models that describe cellular processes by connecting the involved components to unravel underlying mechanisms. For Mycoplasma pneumoniae, a wealth of genome-wide datasets on genomics, transcriptomics, proteomics, and metabolism had been produced. However, a proper system facilitating information exchange and mathematical models to integrate the different datasets were lacking. Also, different in vivo observations of metabolic behavior remained unexplained. This thesis presents a combinatorial approach to design a metabolic model for Mycoplasma pneumoniae. First, we developed a database, MyMpn, in order to provide access to structured and organized data. Second, we built a predictive, genome-scale, constraint-based metabolic model and, in parallel, we explored the metabolome in vivo. We defined the biomass composition of a Mycoplasma pneumoniae cell, corrected the wiring diagram, showed that a large proportion of energy is dedicated to cellular homeostasis, and analyzed the metabolic behavior under different growth conditions. Finally, we manually re-annotated the genome of Mycoplasma pneumoniae. The database, despite not yet being released to the public, is internally already used for data analysis, and for mathematical modeling. Unraveling the principles governing energy metabolism and adaptive capabilities upon gene deletion highlight the impact of the reductive genome evolution and facilitates the development of engineering tools and dynamic models for metabolic sub-systems. Furthermore, we revealed that the degree of complexity in which the genome of Mycoplasma pneumoniae is organized far exceeds what has been considered possible so far and we identified 32 new, previously not annotated genes.
Serrano, Martínez-Santos Nicolás. « Interactive Transcription of Old Text Documents ». Doctoral thesis, Universitat Politècnica de València, 2014. http://hdl.handle.net/10251/37979.
Texte intégralSerrano Martínez-Santos, N. (2014). Interactive Transcription of Old Text Documents [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/37979
TESIS
Guillaumin, Matthieu. « Données multimodales pour l'analyse d'image ». Phd thesis, Grenoble, 2010. http://www.theses.fr/2010GRENM048.
Texte intégralThis dissertation delves into the use of textual metadata for image understanding. We seek to exploit this additional textual information as weak supervision to improve the learning of recognition models. There is a recent and growing interest for methods that exploit such data because they can potentially alleviate the need for manual annotation, which is a costly and time-consuming process. We focus on two types of visual data with associated textual information. First, we exploit news images that come with descriptive captions to address several face related tasks, including face verification, which is the task of deciding whether two images depict the same individual, and face naming, the problem of associating faces in a data set to their correct names. Second, we consider data consisting of images with user tags. We explore models for automatically predicting tags for new images, i. E. Image auto-annotation, which can also used for keyword-based image search. We also study a multimodal semi-supervised learning scenario for image categorisation. In this setting, the tags are assumed to be present in both labelled and unlabelled training data, while they are absent from the test data. Our work builds on the observation that most of these tasks can be solved if perfectly adequate similarity measures are used. We therefore introduce novel approaches that involve metric learning, nearest neighbour models and graph-based methods to learn, from the visual and textual data, task-specific similarities. For faces, our similarities focus on the identities of the individuals while, for images, they address more general semantic visual concepts. Experimentally, our approaches achieve state-of-the-art results on several standard and challenging data sets. On both types of data, we clearly show that learning using additional textual information improves the performance of visual recognition systems
Guillaumin, Matthieu. « Données multimodales pour l'analyse d'image ». Phd thesis, Grenoble, 2010. http://tel.archives-ouvertes.fr/tel-00522278/en/.
Texte intégralGhadie, Mohamed A. « Analysis and Reconstruction of the Hematopoietic Stem Cell Differentiation Tree : A Linear Programming Approach for Gene Selection ». Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32048.
Texte intégralChen, Yen-Ting, et 陳彥廷. « Dense Correspondence Annotation of Video Data Using Non-Rigid Registration with Salient Feature Correspondence Constraints ». Thesis, 2014. http://ndltd.ncl.edu.tw/handle/68845600289225045103.
Texte intégral國立臺灣大學
資訊工程學研究所
103
There are a few existing annotation systems that aim to provide a platform for video annotation. Most of them focus on activity annotation while others concentrate on labeling individual objects. However, the latters focus on only labeling objects with bounding boxes or only using interpolation techniques to help user labeling. Moreover, only one of them try to find the dense correspondence inside the object contour. Issues of dense correspondences annotation across video frames are not well addressed yet. Inspired by this, a video annotation system that focuses on dense correspondences annotation inside the object contour is proposed in this work. In addition, since labeling detail object contour and dense correspondences across a whole video is a daunting task, we also minimize user''s effort by applying an interactive segmentation and tracking algorithm that utilizes information from optical flow and edges that helps the user easier to observe the salient feature correspondences between two video frames. Edges could help the user to find out the detail contour or local patterns of the object. The user is required to check and modify the salient feature correspondences obtained by the algorithm. Dense correspondences in the textureless region are extracted by a non-rigid registration algorithm from the salient feature correspondences verified by the user. The user only needs to label the first frame of the video and correct some minor errors in the subsequent frames for the whole video annotation. The result shows that the proposed framework is more suitable to label non-rigid objects.
Livres sur le sujet "Constraints annotation"
Williams, Dana A. Contemporary African American Female Playwrights. Greenwood Publishing Group, Inc., 1998. http://dx.doi.org/10.5040/9798400631115.
Texte intégralChapitres de livres sur le sujet "Constraints annotation"
Kasahara, Hidekazu, Mikihiko Mori, Masayuki Mukunoki et Michihiko Minoh. « Transportation Mode Annotation of Tourist GPS Trajectories Under Environmental Constraints ». Dans Information and Communication Technologies in Tourism 2015, 523–35. Cham : Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-14343-9_38.
Texte intégralCao, Yu, Lili Ju et Song Wang. « Grain Segmentation of 3D Superalloy Images Using Multichannel EWCVT under Human Annotation Constraints ». Dans Computer Vision – ECCV 2012, 244–57. Berlin, Heidelberg : Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33712-3_18.
Texte intégralRudova, Hana. « Constraints with Variables’ Annotations and Constraint Hierarchies ». Dans SOFSEM’ 98 : Theory and Practice of Informatics, 409–18. Berlin, Heidelberg : Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-49477-4_33.
Texte intégralWingen, Isabel, et Philipp Körner. « Effectiveness of Annotation-Based Static Type Inference ». Dans Functional and Constraint Logic Programming, 74–93. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75333-7_5.
Texte intégralSassen, Claudia, et Peter Kühnlein. « Annotating Structural Constraints in Discourse Corpora ». Dans Text, Speech and Dialogue, 435–42. Berlin, Heidelberg : Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11551874_56.
Texte intégralHan, Jiajie, Jiani Hu et Weihong Deng. « Constrained Spectral Clustering on Face Annotation System ». Dans Communications in Computer and Information Science, 3–12. Singapore : Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-3002-4_1.
Texte intégralDong, Yongquan, Qingzhong Li, Yongqing Zheng, Xiaoyang Xu et Yongxin Zhang. « Semantic Annotation of Web Objects Using Constrained Conditional Random Fields ». Dans Web-Age Information Management, 28–39. Berlin, Heidelberg : Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14246-8_6.
Texte intégralHughes, Jack, et Dominic Orchard. « Program Synthesis from Graded Types ». Dans Programming Languages and Systems, 83–112. Cham : Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57262-3_4.
Texte intégralXiaoguang, Rui, Yuan Pingbo et Yu Nenghai. « Image Annotations Based on Semi-supervised Clustering with Semantic Soft Constraints ». Dans Advances in Multimedia Information Processing - PCM 2006, 624–32. Berlin, Heidelberg : Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11922162_72.
Texte intégralDetyniecki, Marcin. « Browsing a Video with Simple Constrained Queries over Fuzzy Annotations ». Dans Flexible Query Answering Systems, 282–88. Heidelberg : Physica-Verlag HD, 2001. http://dx.doi.org/10.1007/978-3-7908-1834-5_26.
Texte intégralActes de conférences sur le sujet "Constraints annotation"
Chen, Zhijun, Huimin Wang, Hailong Sun, Pengpeng Chen, Tao Han, Xudong Liu et Jie Yang. « Structured Probabilistic End-to-End Learning from Crowds ». Dans Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California : International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/210.
Texte intégralYuan, Jinhui, Jianmin Li et Bo Zhang. « Exploiting spatial context constraints for automatic image region annotation ». Dans the 15th international conference. New York, New York, USA : ACM Press, 2007. http://dx.doi.org/10.1145/1291233.1291379.
Texte intégralC. Ribeiro, Fabiola Goncalves, Achim Rettberg, Carlos E. Pereira, Charles Steinmetz et Michel S. Soares. « Non-functional Constraints Annotation to Real-Time Embedded System Design ». Dans 2018 VIII Brazilian Symposium on Computing Systems Engineering (SBESC). IEEE, 2018. http://dx.doi.org/10.1109/sbesc.2018.00041.
Texte intégralGuo, Kunpeng, Dennis Diefenbach, Antoine Gourru et Christophe Gravier. « Fine-tuning Strategies for Domain Specific Question Answering under Low Annotation Budget Constraints ». Dans 2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2023. http://dx.doi.org/10.1109/ictai59109.2023.00032.
Texte intégralPardo, Alejandro, Mengmeng Xu, Ali Thabet, Pablo Arbelaez et Bernard Ghanem. « BAOD : Budget-Aware Object Detection ». Dans LatinX in AI at Computer Vision and Pattern Recognition Conference 2021. Journal of LatinX in AI Research, 2021. http://dx.doi.org/10.52591/lxai202106254.
Texte intégralTrandabat, Diana. « SEMANTIC ROLE ANNOTATION FOR ELEARNING ». Dans eLSE 2017. Carol I National Defence University Publishing House, 2017. http://dx.doi.org/10.12753/2066-026x-17-179.
Texte intégralMullick, Ankan. « Exploring Multilingual Intent Dynamics and Applications ». Dans Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California : International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/818.
Texte intégralJin, Wanjun, Rui Shi et Tat-Seng Chua. « A semi-na�ve Bayesian method incorporating clustering with pair-wise constraints for auto image annotation ». Dans the 12th annual ACM international conference. New York, New York, USA : ACM Press, 2004. http://dx.doi.org/10.1145/1027527.1027605.
Texte intégralTejero, Javier Gamazo, Martin S. Zinkernagel, Sebastian Wolf, Raphael Sznitman et Pablo Márquez Neila. « Full or Weak Annotations ? An Adaptive Strategy for Budget-Constrained Annotation Campaigns ». Dans 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2023. http://dx.doi.org/10.1109/cvpr52729.2023.01095.
Texte intégralMa, Jiayao, Xinbo Jiang, Songhua Xu et Xueying Qin. « Hierarchical Temporal Multi-Instance Learning for Video-based Student Learning Engagement Assessment ». Dans Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California : International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/383.
Texte intégralRapports d'organisations sur le sujet "Constraints annotation"
Ghanim, Murad, Joe Cicero, Judith K. Brown et Henryk Czosnek. Dissection of Whitefly-geminivirus Interactions at the Transcriptomic, Proteomic and Cellular Levels. United States Department of Agriculture, février 2010. http://dx.doi.org/10.32747/2010.7592654.bard.
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