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A Model-Driven Approach for Crowdsourcing Search

Alessandro Bozzon, Marco Brambilla, Andrea Mauri
2012 The Web Conference  
In this paper we propose a model-driven approach for the specification of crowd-search tasks, i.e. activities where real people -in real time -take part to the generalized search process that involve search  ...  Our solution allows for a top-down design approach, from the crowd-search task design, down to the crowd answering system design.  ...  ACKNOWLEDGMENTS This research is partially supported by the Search Computing (SeCo) project, funded by European Research Council, under the IDEAS Advanced Grants program; by the Cubrik Project, an IP funded  ... 
dblp:conf/www/BozzonBM12 fatcat:tgbxxfhhxrgjrl4s6k2dnmpvju

A data-driven approach to mid-level perceptual musical feature modeling [article]

Anna Aljanaki, Mohammad Soleymani
2018 arXiv   pre-print
We then compare several approaches to predicting these descriptors from spectrograms using deep-learning.  ...  High-level descriptors (genre, mood, expressive style) are usually modeled using the lower level ones.  ...  In this paper we propose an approach to mid-level feature modeling that is more similar to automatic tagging [6] .  ... 
arXiv:1806.04903v1 fatcat:22cq6yjbo5hcdfl36v6y5e2e7m

Model Matching for Model Transformation - A Meta-heuristic Approach
english

Hajer Saada, Marianne Huchard, Clémentine Nebut, Houari A. Sahraoui
2014 Proceedings of the 2nd International Conference on Model-Driven Engineering and Software Development  
Model Transformation By Example (MTBE) is a recent approach that derives model transformation rules from a source model, a target model, and matching between models.  ...  In this paper, we propose an automated approach to generate mappings between source and target models.  ...  They extend the Anchor-Prompt approach to discover the pairs of elements for which there is a strong assumption of matching.  ... 
doi:10.5220/0004695601740181 dblp:conf/modelsward/SaadaHNS14 fatcat:yijwkkpjvjhsfl4qqc72cxjcni

A Data-driven Approach to Mid-level Perceptual Musical Feature Modeling

Anna Aljanaki, Mohammad Soleymani
2018 Zenodo  
We then compare several approaches to predicting these descriptors from spectrograms using deep-learning.  ...  High-level descriptors (genre, mood, expressive style) are usually modeled using the lower level ones.  ...  In this paper we propose an approach to mid-level feature modeling that is more similar to automatic tagging [6] .  ... 
doi:10.5281/zenodo.1492490 fatcat:mndp6ntkvfcdron7zqd3hw2ogy

A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling through Particle Filtering [article]

Raunak Bhattacharyya, Soyeon Jung, Liam Kruse, Ransalu Senanayake, Mykel Kochenderfer
2021 arXiv   pre-print
Existing approaches to modeling human driving behavior have relied on both data-driven and rule-based methods.  ...  In this paper, we propose a methodology that combines rule-based modeling with data-driven learning.  ...  ACKNOWLEDGMENTS Toyota Research Institute (TRI) provided funds to assist the authors with their research, but this article solely reflects the opinions and conclusions of its authors and not TRI or any  ... 
arXiv:2108.12820v1 fatcat:xi7gxsrtgvftfgut5ax6n6kaxq

Cloning Crowd Motions [article]

Yi Li, Marc Christie, Orianne Siret, Richard Kulpa, Julien Pettré
2012 Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation - SCA '04  
This paper introduces a method to clone crowd motion data.  ...  The result of our searches is a set of crowd patches that contain portions of example data that can be used to compose large and endless animations.  ...  Acknowledgements The authors are very grateful to Steve Tonneau who rendered valuable help in proofreading.  ... 
doi:10.2312/sca/sca12/201-210 fatcat:ftgz7p7lljcq7cagxy5ndaozcu

Cloning Crowd Motions [article]

Yi Li, Marc Christie, Orianne Siret, Richard Kulpa, Julien Pettré
2012 Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation - SCA '04  
This paper introduces a method to clone crowd motion data.  ...  The result of our searches is a set of crowd patches that contain portions of example data that can be used to compose large and endless animations.  ...  Acknowledgements The authors are very grateful to Steve Tonneau who rendered valuable help in proofreading.  ... 
doi:10.2312/sca/sca12/201-210 fatcat:6tvm3jkpmzabxoiq3lchklc6yi

Implicit crowds

Ioannis Karamouzas, Nick Sohre, Rahul Narain, Stephen J. Guy
2017 ACM Transactions on Graphics  
We apply this approach to crowd simulation by using a state-of-the-art model derived from a recent analysis of human crowd data, and adapting it to our framework.  ...  RELATED WORK 2.1 Crowd Simulation Many approaches exist to simulate crowds, including techniques based on continuum dynamics [Hughes 2002; Treuille et al. 2006 ], data-driven approaches Ju et al. 2010  ... 
doi:10.1145/3072959.3073705 fatcat:26ekav2fivbbrb6gdeinnqy2ze

Data-Driven Crowd Understanding: A Baseline for a Large-Scale Crowd Dataset

Cong Zhang, Kai Kang, Hongsheng Li, Xiaogang Wang, Rong Xie, Xiaokang Yang
2016 IEEE transactions on multimedia  
In this paper, a data-driven approach is proposed as a baseline of crowd segmentation and estimation of crowd properties for the proposed dataset.  ...  The largescale annotated dataset enables using data-driven approaches for crowd understanding.  ...  A data-driven method is also adopted for crowd tracking in [55] to search for similar behaviors among crowd motion patterns in other videos.  ... 
doi:10.1109/tmm.2016.2542585 fatcat:gtdbjyj7z5elleblqsr6slm7z4

Distinguishing 'Crowded' Organizations from Groups and Communities: Is Three a Crowd?

Gianluigi Viscusi, Christopher L. Tucci
2015 Social Science Research Network  
We then propose a typology that may allow managers to position their companies' initiatives among four strategic types: crowd crystals, online communities, closed crowd, and open crowd driven innovation  ...  We show that incumbent companies may prefer a closed and controlled access to the crowd, limiting the potential for gaining results and insights from fully open crowd-driven innovation initiatives.  ...  Crowd as a solution to distant search: when is the right time?  ... 
doi:10.2139/ssrn.2446129 fatcat:je5qbxrl4zfdhkcs7eubcm7az4

Destination Flow for Crowd Simulation [chapter]

Stefano Pellegrini, Jürgen Gall, Leonid Sigal, Luc Van Gool
2012 Lecture Notes in Computer Science  
We present a crowd simulation that captures some of the semantics of a specific scene by partly reproducing its motion behaviors, both at a lower level using a steering model and at the higher level of  ...  To this end, we use and generalize a steering model based on linear velocity prediction, termed LTA.  ...  As alternative, data-driven approaches [8, 9] extract real trajectories from an actual crowd and use these.  ... 
doi:10.1007/978-3-642-33885-4_17 fatcat:f7wi64cdpvfv3mrnsyip6g2k6q

Data Driven Evaluation of Crowds [chapter]

Alon Lerner, Yiorgos Chrysanthou, Ariel Shamir, Daniel Cohen-Or
2009 Lecture Notes in Computer Science  
In this paper we present a data-driven approach for evaluating the behaviors of individuals within a simulated crowd.  ...  Based on video footage of a real crowd, a database of state-action examples is generated. Using a similarity measure, the queries are matched with the database of examples.  ...  In this paper we utilize a data-driven approach to assess individual behaviors within crowds.  ... 
doi:10.1007/978-3-642-10347-6_7 fatcat:o3a5qqlgerft3gasfu3gqd4ih4

A Clustering Based Approach for Realistic and Efficient Data-Driven Crowd Simulation [article]

Mingbi Zhao
2015 arXiv   pre-print
In this paper, we present a data-driven approach to generate realistic steering behaviors for virtual crowds in crowd simulation.  ...  Unlike existing example-based models in which current states are matched to states extracted from crowd videos directly, our approach adopts a hierarchical mechanism to generate the steering behaviors  ...  . • A data-driven crowd modeling approach is proposed to generate realistic steering behaviors of pedestrians.  ... 
arXiv:1506.04480v2 fatcat:hkc6ovqu2vfsrhm5vdvn4n7qwa

Enabling Scientific Crowds: The Theory of Enablers for Crowd-Based Scientific Investigation [article]

Jorge Faleiro
2018 arXiv   pre-print
The Theory of Enablers assumes the use of a next-generation investigative approach leveraging forces of human diversity, micro-specialized crowds, and proper computer-assisted control methods associated  ...  As a consequence, the majority of critical decisions at all levels, from personal investment choices to overreaching global policies, rely on some variation of try-and-error and are mostly non-scientific  ...  The subject of modern methods of investigation relies mostly on mechanisms of extreme complexity, and an approach to find for a resolution of a complex problem is to search a prospective solution through  ... 
arXiv:1809.07195v1 fatcat:y7md4tmlcfcpznn3pjocyed7em

Crowd Detection with a Multiview Sampler [chapter]

Weina Ge, Robert T. Collins
2010 Lecture Notes in Computer Science  
We present a Bayesian approach for simultaneously estimating the number of people in a crowd and their spatial locations by sampling from a posterior distribution over crowd configurations.  ...  We also develop a statistical model of crowd configurations that can handle dependencies among people and while not requiring discretization of their spatial locations.  ...  extends a single view detection approach to perform multiview inference.  ... 
doi:10.1007/978-3-642-15555-0_24 fatcat:l6ra2lnljnedtn75ek6eoyzx2m
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