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Relevant bibliographies by topics / Attribute matching

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Academic literature on the topic 'Attribute matching'

Author: Grafiati

Published: 9 March 2023

Last updated: 10 March 2023

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Journal articles on the topic "Attribute matching"

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Zhu, Yongjie, and Shenzhan Feng. "A Matching Method of Heterogeneous Database based on SOM and BP Neural Network." International Journal of Circuits, Systems and Signal Processing 15 (April 22, 2021): 383–92. http://dx.doi.org/10.46300/9106.2021.15.42.

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In the process of data integration among heterogeneous databases, it is significantly important to analyze the identical attributes and characteristics of the databases. However, the existing main data attribute matching model has the defects of oversize matching space and low matching precision. Therefore, this paper puts forward a heterogeneous data attribute matching model on the basis of fusion of SOM and BP network through analyzing the attribute matching process of heterogeneous databases. This model firstly matches the heterogeneous data attributes in advance by SOM network to determine

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Ando, Kazuaki, Shoji Mizobuchi, Masami Shishibori, and Jun-Ichi Aoe. "Efficient multi-attribute pattern matching." International Journal of Computer Mathematics 66, no. 1-2 (1998): 21–38. http://dx.doi.org/10.1080/00207169808804622.

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Zhang, Chun Ying, Jing Feng Guo, and Xiao Chen. "Research on Random Walk Rough Matching Algorithm of Attribute Sub-Graph." Key Engineering Materials 474-476 (April 2011): 297–302. http://dx.doi.org/10.4028/www.scientific.net/kem.474-476.297.

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In the analysis of social network, the attribute values of an entity change constantly as time goes by and the corresponding attribute graph changes accordingly. However, the essence of the entity is invariable. The problem is how to discover essence from the change of mining frequent rough matching attribute sub-graph in an attribute graph in this paper. The problem of the attribute sub-graph rough matching is defined and described, then the random walk rough matching algorithm of attribute sub-graph is designed so that the problem of incomplete coincide attribute sub-graph rough matching wou

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Long, Susan B., and Richard H. Evans. "Matching Attribute set and Attitude Model." Psychological Reports 60, no. 3_part_2 (1987): 1087–96. http://dx.doi.org/10.1177/0033294187060003-214.1.

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The attribute set/attitude model relationship recently proposed by Myers and Shocker was examined using correlational and (LISREL) causal analysis. Compared against more traditional single-attitude model approaches (Ahtola, Adequacy-Importance, and Fishbein), Myers and Shocker's mixed model appears promising. It matched the attitude model which best predicted behavioral intentions for two out of three product attribute sets, and along with the Fishbein model, produced a satisfactory fit with the hypothesized causal structure. However, when the alternative attitude models were compared using a

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LONG, SUSAN B., and RICHARD H. EVANS. "MATCHING ATTRIBUTE SET AND ATTITUDE MODEL." Psychological Reports 60, no. 3c (1987): 1087–96. http://dx.doi.org/10.2466/pr0.1987.60.3c.1087.

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Cortés, Xavier, and Francesc Serratosa. "Learning Graph Matching Substitution Weights Based on the Ground Truth Node Correspondence." International Journal of Pattern Recognition and Artificial Intelligence 30, no. 02 (2016): 1650005. http://dx.doi.org/10.1142/s0218001416500051.

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In pattern recognition, it is usual to compare structured objects through attributed graphs in which nodes represent local parts and edges relations between them. Thus, each characteristic in the local parts is represented by different attributes on the nodes or edges. In this framework, the comparison between structured objects is performed through a distance between attributed graphs. If we want to correctly tune the distance and node correspondence between graphs, we need to add some weights on the node and edge attributes to gauge the importance of each local characteristic while defining

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Zhao, Huimin. "Matching Attributes across Overlapping Heterogeneous Data Sources Using Mutual Information." Journal of Database Management 21, no. 4 (2010): 91–110. http://dx.doi.org/10.4018/jdm.2010100105.

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Identifying matching attributes across heterogeneous data sources is a critical and time-consuming step in integrating the data sources. In this paper, the author proposes a method for matching the most frequently encountered types of attributes across overlapping heterogeneous data sources. The author uses mutual information as a unified measure of dependence on various types of attributes. An example is used to demonstrate the utility of the proposed method, which is useful in developing practical attribute matching tools.

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Deng, Luo, Liu, and Wang. "Point of Interest Matching between Different Geospatial Datasets." ISPRS International Journal of Geo-Information 8, no. 10 (2019): 435. http://dx.doi.org/10.3390/ijgi8100435.

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Point of interest (POI) matching finds POI pairs that refer to the same real-world entity, which is the core issue in geospatial data integration. To address the low accuracy of geospatial entity matching using a single feature attribute, this study proposes a method that combines the D–S (Dempster–Shafer) evidence theory and a multiattribute matching strategy. During POI data preprocessing, this method calculates the spatial similarity, name similarity, address similarity, and category similarity between pairs from different geospatial datasets, using the multiattribute matching strategy. The

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Yun, Jing, ZhiWei Xu, and GuangLai Gao. "Gated Object-Attribute Matching Network for Detailed Image Caption." Mathematical Problems in Engineering 2020 (January 13, 2020): 1–11. http://dx.doi.org/10.1155/2020/9562587.

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Image caption enables computers to generate a text description of images automatically. However, the generated description is not good enough recently. Computers can describe what objects are in the image but cannot give more details about these objects. In this study, we present a novel image caption approach to give more details when describing objects. In detail, a visual attention-based LSTM is used to find the objects, as well as a semantic attention-based LSTM is used for giving semantic attributes. At last, a gated object-attribute matching network is used to match the objects to their

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Yang, Xin, Xuemeng Song, Fuli Feng, Haokun Wen, Ling-Yu Duan, and Liqiang Nie. "Attribute-wise Explainable Fashion Compatibility Modeling." ACM Transactions on Multimedia Computing, Communications, and Applications 17, no. 1 (2021): 1–21. http://dx.doi.org/10.1145/3425636.

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With the boom of the fashion market and people’s daily needs for beauty, clothing matching has gained increased research attention. In a sense, tackling this problem lies in modeling the human notions of the compatibility between fashion items, i.e., Fashion Compatibility Modeling (FCM), which plays an important role in a wide bunch of commercial applications, including clothing recommendation and dressing assistant. Recent advances in multimedia processing have shown remarkable effectiveness in accurate compatibility evaluation. However, these studies work like a black box and cannot provide

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Dissertations / Theses on the topic "Attribute matching"

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Riaz, Muhammad Atif, and Sameer Munir. "An Instance based Approach to Find the Types of Correspondence between the Attributes of Heterogeneous Datasets." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-1938.

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Context: Determining attribute correspondence is the most important, time consuming and knowledge intensive part during databases integration. It is also used in other data manipulation applications such as data warehousing, data design, semantic web and e-commerce. Objectives: In this thesis the aim is to investigate how to find the types of correspondence between the attributes of heterogeneous datasets when schema design information of the data sets is unknown. Methods: A literature review was conducted to extract the knowledge related to the approaches that are used to find the corresponde

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SOLBIATI, MONICA. "SYNCOPE RISK STRATIFICATION IN THE EMERGENCY DEPARTMENT: COMPARISON OF DIFFERENT PREDICTION MODELS AND THE POSSIBLE ROLE OF ATTRIBUTE MATCHING." Doctoral thesis, Università degli Studi di Milano, 2018. http://hdl.handle.net/2434/555557.

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Gli strumenti fino ad ora disponibili hanno fallito nel tentativo di predire gli eventi avversi dei pazienti con sincope in pronto soccorso. Per valutare i possibili punti di forza e di debolezza e confrontare i diversi metodi statistici usati per la derivazione di score e scale di rischio, abbiamo deciso di derivare dei modelli basati su regressione logistica multivariata e reti neurali artificiali (ANN) a partire da un database retrospettivo e di validarli in un nuovo dataset di 354 pazienti. L’area sotto la curva ROC di regressione multivariata e ANN è risultata rispettivamente di 0.726 e 0

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Eschmann, Marcel. "Study of bitwise operations on non-scarce attribute based data structures in PostgreSQL." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232075.

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This report investigates the viability of bitwise operations on non-scarce attribute based data structures in PostgreSQL. For applications where computation can’t be avoided, it most probably can be optimized. In an attempt of bringing the computation closer to hardware and the underlying data, operations directly on the database system are explored, taking inspiration from the research field of comparative genomics. With the case-study of an online job platform in mind, where possible matchings between candidate and job descriptions are calculated by a matching engine, a binary encoding is pr

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Watanabe, Toyohide, Yuusuke Uehara, Yuuji Yoshida, and Teruo Fukumura. "A semantic data model for intellectual database access." IEEE, 1990. http://hdl.handle.net/2237/6923.

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Workneh, Tewabe Chekole <1986&gt. "A Continuous - Time Quantum Walk for Attributed Graphs Matching." Master's Degree Thesis, Università Ca' Foscari Venezia, 2013. http://hdl.handle.net/10579/3468.

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ABSTRACT Various Aspects Of the Theory of Quantum Walks on Graphs are Surveyed. In particular, Quantum network routing ,Kempe[2002],Quantum Walk Search Algorithm, Shenvi,Kempe and Whaley[2002] , Element distinctness ,Ambainis, [2004]. Connections with the eigenvalues of Graphs and the use of these connections in the study of Quantum walks is described. Dierent researchers had contribution and put their benchmark idea Pertaining with this concept. I also try to investigate recent Application of Quantum walks, In particular the problem pertained with Graph matching i.e Matching nodes(vertices) o

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MANZO, MARIO. "ATTRIBUTED RELATIONAL SIFT-BASED REGIONS GRAPH (ARSRG):DESCRIPTION, MATCHING AND APPLICATIONS." Doctoral thesis, Università degli Studi di Milano, 2014. http://hdl.handle.net/2434/233320.

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Finding correspondences between images is a crucial activity in many overlapping fields of research, such as Image Retrieval and Pattern Recognition. Many existing techniques address this problem using local invariant image features, instead of color, shape and texture, that to some degree loose the large scale structure of the image. In this thesis, in order to account for spatial relations among the local invariant features and to improve the image representation, first a graph data structure is introduced, where local features are represented by nodes and spatial relations by edges

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Kanchinadam, Krishna M. "DataMapX a tool for cross-mapping entities and attributes between bioinformatics databases /." Fairfax, VA : George Mason University, 2008. http://hdl.handle.net/1920/3135.

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Thesis (M.S.)--George Mason University, 2008.<br>Vita: p. 29. Thesis director: Jennifer Weller. Submitted in partial fulfillment of the requirements for the degree of Master of Science in Bioinformatics. Title from PDF t.p. (viewed July 7, 2008). Includes bibliographical references (p. 28). Also issued in print.

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Sands, Obed Scott. "Transitive, anti-symmetric relational attributes in structural description matching with applications to radar target identification /." The Ohio State University, 1990. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487683401443243.

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Dungan, Kerry Edward. "Feature-based Vehicle Classification in Wide-angle Synthetic Aperture Radar." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1274402314.

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Haugeard, Jean-Emmanuel. "Extraction et reconnaissance de primitives dans les façades de Paris à l'aide d'appariement de graphes." Thesis, Cergy-Pontoise, 2010. http://www.theses.fr/2010CERG0497.

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Cette dernière décennie, la modélisation des villes 3D est devenue l'un des enjeux de la recherche multimédia et un axe important en reconnaissance d'objets. Dans cette thèse nous nous sommes intéressés à localiser différentes primitives, plus particulièrement les fenêtres, dans les façades de Paris. Dans un premier temps, nous présentons une analyse des façades et des différentes propriétés des fenêtres. Nous en déduisons et proposons ensuite un algorithme capable d'extraire automatiquement des hypothèses de fenêtres. Dans une deuxième partie, nous abordons l'extraction et la reconnaissance d

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Books on the topic "Attribute matching"

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Shugart, Matthew S., Matthew E. Bergman, Cory L. Struthers, Ellis S. Krauss, and Robert J. Pekkanen. Party Personnel Strategies. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192897053.001.0001.

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The book develops the notion of “party personnel strategies”, which are the ways in which political parties assign their elected members—their “personnel”—to serve collective organizational goals. Key party goals are to advance a policy brand and maximize seats in the legislature. We offer a theory of how assignments of members to specialized legislative committees contribute to these goals. Individual members vary in their personal attributes, such as prior occupation, gender, and local experience. Parties seek to harness the attributes of their members by assigning them to committees where m

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Huda, Ahmed Samei. The Medical Model in Mental Health. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780198807254.001.0001.

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The medical model is a biopsychosocial model assessing a patient’s problems and matching them to the diagnostic construct using pattern recognition of clinical features. Diagnostic constructs allow for researching, communicating, teaching, and learning useful clinical information to influence clinical decision-making. They also have social and administrative functions such as access to benefits. They may also help explain why problems occur. Diagnostic constructs are used to describe diseases/syndromes and also other types of conditions such as spectrums of conditions. Treatments in medicine a

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Wright, A. G. The Photomultiplier Handbook. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199565092.001.0001.

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This handbook is aimed at helping users of PMTs who are faced with the challenge of designing sensitive light detectors for scientific and industrial purposes. The raison d’être for photomultipliers (PMTs) stems from four intrinsic attributes: large detection area, high, and noiseless gain, and wide bandwidth. Detection involves a conversion process from photons to photoelectrons at the photocathode. Photoelectrons are subsequently collected and increased in number by the action of an incorporated electron multiplier. Photon detection, charge multiplication, and many PMT applications are stati

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Book chapters on the topic "Attribute matching"

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Gal, Avigdor. "Enhancing the Capabilities of Attribute Correspondences." In Schema Matching and Mapping. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16518-4_3.

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Fan, Fengfeng, Zhanhuai Li, and Qun Chen. "Attribute Value Matching with Limited Budget." In Lecture Notes in Computer Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02698-1_13.

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Fan, Fengfeng, and Zhanhuai Li. "Attribute Value Matching by Maximizing Benefit." In Lecture Notes in Computer Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01391-2_5.

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Han, Yue, Weihong Han, Shudong Li, and Zhen Wang. "Attribute Value Extraction Based on Rule Matching." In Communications in Computer and Information Science. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8101-4_10.

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Harada, Lilian. "Pattern Matching over Multi-attribute Data Streams." In String Processing and Information Retrieval. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45735-6_17.

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Zhang, Jiachen, Giovanni Lo Bianco, and J. Christopher Beck. "Model-Based Approaches to Multi-attribute Diverse Matching." In Integration of Constraint Programming, Artificial Intelligence, and Operations Research. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08011-1_28.

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Yang, Ran, Meng Jian, Ge Shi, Lifang Wu, and Ye Xiang. "Attribute-Level Interest Matching Network for Personalized Recommendation." In Pattern Recognition and Computer Vision. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88007-1_40.

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Batina, Lejla, Jens Hermans, Jaap-Henk Hoepman, and Anna Krasnova. "High-Speed Dating Privacy-Preserving Attribute Matching for RFID." In Radio Frequency Identification: Security and Privacy Issues. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13066-8_2.

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Ou, Yangming, and Christos Davatzikos. "DRAMMS: Deformable Registration via Attribute Matching and Mutual-Saliency Weighting." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02498-6_5.

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Liu, Haishan, and Dejing Dou. "Breaking the Deadlock: Simultaneously Discovering Attribute Matching and Cluster Matching with Multi-Objective Simulated Annealing." In On the Move to Meaningful Internet Systems: OTM 2011. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25106-1_21.

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Conference papers on the topic "Attribute matching"

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Kim, Seungryong, Dongbo Min, Somi Jeong, Sunok Kim, Sangryul Jeon, and Kwanghoon Sohn. "Semantic Attribute Matching Networks." In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2019. http://dx.doi.org/10.1109/cvpr.2019.01262.

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Fu, Cheng, Xianpei Han, Jiaming He, and Le Sun. "Hierarchical Matching Network for Heterogeneous Entity Resolution." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/507.

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Entity resolution (ER) aims to identify data records referring to the same real-world entity. Most existing ER approaches rely on the assumption that the entity records to be resolved are homogeneous, i.e., their attributes are aligned. Unfortunately, entities in real-world datasets are often heterogeneous, usually coming from different sources and being represented using different attributes. Furthermore, the entities’ attribute values may be redundant, noisy, missing, misplaced, or misspelled—we refer to it as the dirty data problem. To resolve the above problems, this paper proposes an end-

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Fan, Fengfeng, Zhanhuai Li, and Yanyan Wang. "Cohesion based attribute value matching." In 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI). IEEE, 2017. http://dx.doi.org/10.1109/cisp-bmei.2017.8302312.

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Ahmadi, Saba, Faez Ahmed, John P. Dickerson, Mark Fuge, and Samir Khuller. "An Algorithm for Multi-Attribute Diverse Matching." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/1.

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Bipartite b-matching, where agents on one side of a market are matched to one or more agents or items on the other, is a classical model that is used in myriad application areas such as healthcare, advertising, education, and general resource allocation. Traditionally, the primary goal of such models is to maximize a linear function of the constituent matches (e.g., linear social welfare maximization) subject to some constraints. Recent work has studied a new goal of balancing whole-match diversity and economic efficiency, where the objective is instead a monotone submodular function over the

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Yin, Zhou, Wei-Shi Zheng, Ancong Wu, et al. "Adversarial Attribute-Image Person Re-identification." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/153.

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While attributes have been widely used for person re-identification (Re-ID) which aims at matching the same person images across disjoint camera views, they are used either as extra features or for performing multi-task learning to assist the image-image matching task. However, how to find a set of person images according to a given attribute description, which is very practical in many surveillance applications, remains a rarely investigated cross-modality matching problem in person Re-ID. In this work, we present this challenge and leverage adversarial learning to formulate the attribute-ima

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Gardezi, Jaffer, Leopoldo Bertossi, and Iluju Kiringa. "Matching dependencies with arbitrary attribute values." In the 4th International Workshop. ACM Press, 2011. http://dx.doi.org/10.1145/1966357.1966362.

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Peng, Yu, Raymond Chi-Wing Wong, Liangliang Ye, and Philip S. Yu. "Attribute-Based Subsequence Matching and Mining." In 2012 IEEE International Conference on Data Engineering (ICDE 2012). IEEE, 2012. http://dx.doi.org/10.1109/icde.2012.81.

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Wang, Ning, Minnan Luo, Kaize Ding, Lingling Zhang, Jundong Li, and Qinghua Zheng. "Graph Few-shot Learning with Attribute Matching." In CIKM '20: The 29th ACM International Conference on Information and Knowledge Management. ACM, 2020. http://dx.doi.org/10.1145/3340531.3411923.

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Huang, Xuri, Laurence R. Bentley, and Claude Laflamme. "Seismic history matching guided by attribute zonation." In SEG Technical Program Expanded Abstracts 2001. Society of Exploration Geophysicists, 2001. http://dx.doi.org/10.1190/1.1816410.

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Papathomas, Thomas V., and Andrei Gorea. "Class of stimuli for studying correspondence in apparent motion." In OSA Annual Meeting. Optica Publishing Group, 1988. http://dx.doi.org/10.1364/oam.1988.fd4.

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Correspondence matching is the process by which the visual system matches the attributes of objects (luminance, color, shape, contrast, etc.) at different places and at different times to determine the path of the objects in apparent (stroboscopic) motion. We present a class of stimulus which allows the existence of simultaneous motion paths carried by a multiplicity of attributes. Each attribute can be matched independently of the others to elicit unambiguous (unidirectional) or ambiguous (multidirectional) motion perception. When two or more attributes are matched, we can either match them a

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Reports on the topic "Attribute matching"

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Elacqua, Gregory, and Leonardo Rosa. Teacher transfers and the disruption of Teacher Staffing in the City of Sao Paulo. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0004737.

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This paper analyzes preferences for certain school attributes among in-service teachers. We explore a centralized matching process in the city of Sao Paulo that teachers must use when transferring schools. Because teachers have to list and rank their preferences for schools, we can estimate the desirability of school attributes using a rank-ordered logit model. We show that the schools distance from the teachers home, school average test scores, and teacher composition play a central role in teacher preferences. Furthermore, we show that preferences vary according to teacher characteristics, s

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