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Estimation of thinking states in cyberspace using multiple physiological parameters

Hiromu Miyashita, Ryo Segawa, Ken-ichi Okada
2009 Proceedings of the 16th ACM Symposium on Virtual Reality Software and Technology - VRST '09  
In this paper, we propose a method for the evaluation of thinking states in cyberspace using multiple physiological parameters.  ...  We developed a mapping matrix that converted physiological data into a composite of thinking states.  ...  Acknowledgements This work was supported by SCOPE (Strategic Information and Communications R&D Promotion Programme) of the Ministry of Internal Affairs and Communications, Japan.  ... 
doi:10.1145/1643928.1643983 dblp:conf/vrst/MiyashitaSO09 fatcat:x4wampuv2rhudp7dn4ahbuplqq

Novel Approach of Social Media Analytics for Predicting National Consumer Confidence Index

2022 Zenodo  
However, this study aims to propose a novel method of social media analytics for predicting national consumer confidence index (NACOP) that reflect true state of the economy.  ...  Analysis of Pakistani official consumer confidence index in comparison with the actual data reveals inconsistency between the official index and actual state of the economy in Pakistan.  ...  Following organizations are responsible for publishing consumer confidence index in various countries; State Bank of Pakistan (in collaboration with IBA Karachi) in Pakistan, Conference Board in Canada  ... 
doi:10.5281/zenodo.6584664 fatcat:6rm2y6t7njc6zgdjctansseosi

Performance benchmarks for an interactive video-on-demand system

J. Guo, P.G. Taylor, E.W.M. Wong, S. Chan, M. Zukerman, K.S. Tang
2004 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577)  
We support our conjecture with a simulation of a realistic system, and propose a metric following the idea of our conjecture to assess the goodness of movie assignment in the system.  ...  Little and Venkatesh conjectured that, for an interactive VoD system with a single random trial resource selection scheme, the blocking probability of a user's request is minimized when the overall movie  ...  Zukerman were visiting the Department of Electronic Engineering, City University of Hong Kong.  ... 
doi:10.1109/icc.2004.1312906 dblp:conf/icc/GuoTWCZT04 fatcat:3kb7cjswr5edxk4nw4vrna7grq

Exploiting the web of data in model-based recommender systems

Tommaso Di Noia, Roberto Mirizzi, Vito Claudio Ostuni, Davide Romito
2012 Proceedings of the sixth ACM conference on Recommender systems - RecSys '12  
The proposed approach adapts support vector machine (SVM) to deal with RDF triples.  ...  The availability of a huge amount of interconnected data in the so called Web of Data (WoD) paves the way to a new generation of applications able to exploit the information encoded in it.  ...  The authors acknowledge partial support of HP IRP 2011. Grant CW267313.  ... 
doi:10.1145/2365952.2366007 dblp:conf/recsys/NoiaMOR12 fatcat:kav6xou7tbcdnj66ty2s2qhtr4

Movie genre classification via scene categorization

Howard Zhou, Tucker Hermans, Asmita V. Karandikar, James M. Rehg
2010 Proceedings of the international conference on Multimedia - MM '10  
This paper presents a method for movie genre categorization of movie trailers, based on scene categorization.  ...  This allows us to represent trailers using a bag-of-visual-words (bovw) model with shot classes as vocabularies.  ...  However, we think color plays an important role in conveying the mood of a scene.  ... 
doi:10.1145/1873951.1874068 dblp:conf/mm/ZhouHKR10 fatcat:afoimvabdncyrcyfp5oetsd4ca

Losers and finders

Mike Leggett
2005 Proceedings of the 5th conference on Creativity & cognition - C&C '05  
It proposes an approach to indexing audio-visual media utilising a time-space representational system, drawing upon a real-world time-space representation as the taxonomy of the indexing procedure.  ...  The contemporary burgeoning usage of digital movies, photos, audio and text, their distribution through networks both electronic and physical will be considered in the context of a convergence of these  ...  Russell Crowe portrayal of the schitzophrenic John Nash in the movie 'A Beautiful Mind' provides an image of this process in its pathological state. (19) 5.  ... 
doi:10.1145/1056224.1056254 dblp:conf/candc/Leggett05 fatcat:fu3gfdecs5hf7fx7fxjgk5hrby

Fiction as an Introduction to Computer Science Research

Judy Goldsmith, Nicholas Mattei
2014 ACM Transactions on Computing Education  
chosen science fiction book, movie, or TV show.  ...  Students learn a little about current or recent research on a topic that stirs their imagination, and learn how to search for, read critically, and compare technical papers on a topic related to their  ...  ACKNOWLEDGMENTS We would like to thank the anonymous reviewers who have made many important suggestions in expanding the scope and content of this article.  ... 
doi:10.1145/2576873 fatcat:culhlwlaxjg2nju4hzq5xg5rdu

Page 7 of Information Services Vol. 13, Issue 8 [page]

1934 Information Services  
This report by the Committee on Socially Handicapped of the White House Conference preserts a variety of data.  ...  It is packed with in- formation of a type that is not often available in a single volume. ‘Lm. ¢. The First Chapter of the New Deal. By John A. Lapp. Fore- word by Raymond M. Moley. Chicago, John A.  ... 

Recommender system for contextual advertising in IPTV scenarios

Roberto Konow, Wayman Tan, Luis Loyola, Javier Pereira, Nelson Baloian
2010 The 2010 14th International Conference on Computer Supported Cooperative Work in Design  
Since only a small portion of the advertising links can be included in a movie, these must be selected carefully.  ...  The proposal arises from a real case of a Japanese company planning to add advertisement to its On-Demand IPTV services.  ...  THE PROPOSED RECOMMENDER SYSTEM The main hypothesis behind this work is that people with similar preferences for a certain movie genre and similar profile characteristics may have a similar response (negative  ... 
doi:10.1109/cscwd.2010.5471900 dblp:conf/cscwd/KonowTLPB10 fatcat:m7yzaow2h5eajdsqskipmdngpm

From stars to galaxies

Matteo Magnani, Ira Assent
2013 Proceedings of the 16th International Conference on Extending Database Technology - EDBT '13  
We propose efficient algorithms to implement this operator and test them on real and synthetic data, showing that they outperform a direct SQL implementation of up to two orders of magnitude.  ...  However, it has only been defined with respect to single records, while one fundamental functionality of database query languages is aggregation, enabling operations over sets of records.  ...  For example, assume that a very good director who has directed a large number of popular and high quality movies comes out with a very bad movie.  ... 
doi:10.1145/2452376.2452432 dblp:conf/edbt/MagnaniA13 fatcat:cmku2bi22ff3rc6oglr3x3wgxi

Guided Generation of Cause and Effect

Zhongyang Li, Xiao Ding, Ting Liu, J. Edward Hu, Benjamin Van Durme
2020 Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence  
Finally, we use CausalBank to perform continued training of an encoder supporting a recent state-of-the-art model for causal reasoning, leading to a 3-point improvement on the COPA challenge set, with  ...  This framework depends on two novel resources we develop in the course of this work: a very large-scale collection of English sentences expressing causal patterns (CausalBank); and a refinement over previous  ...  Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence  ... 
doi:10.24963/ijcai.2020/498 dblp:conf/ijcai/CaiCSZY20 fatcat:4i3iizrceveb5a4geszgvcwdlq

Local Ensemble across Multiple Sources for Collaborative Filtering

Jing Zheng, Fuzhen Zhuang, Chuan Shi
2017 Proceedings of the 2017 ACM on Conference on Information and Knowledge Management - CIKM '17  
In this paper, we propose a novel LOcal EN semble framework across multiple source domains for collaborative filtering (called LOEN for short), where weights of multiple sources for each missing rating  ...  Compared with the previous TCF methods, LOEN does not require overlapping data and considers the divergence of sources through exploiting the local structures of ratings, which allows LOEN to be more general  ...  Experiments on two real datasets illustrate the superiority of LOEN compared with the-state-of-art methods.  ... 
doi:10.1145/3132847.3133099 dblp:conf/cikm/ZhengZS17 fatcat:w7xmo4xhzzbivphhq3astxt7su

Semantic context detection based on hierarchical audio models

Wen-Huang Cheng, Wei-Ta Chu, Ja-Ling Wu
2003 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval - MIR '03  
In this paper, we propose a novel hierarchical approach that models the statistical characteristics of several audio events, over a time series, to accomplish semantic context detection.  ...  With this framework, we bridge the gaps between low-level features and the semantic contexts that last in a time series.  ...  The number of HMM model states of each event is decided by the clustering algorithm proposed in [1] .  ... 
doi:10.1145/973264.973282 dblp:conf/mir/ChengCW03 fatcat:ped7mufkxjhvze7iz5ic36hg5i

Two Cities Grope for Key to School Board Improvement

1945 Journal of Education  
Take Part in a Social-Studies Discussion: Cooperative venture in thinking; con- necting with statements of others; agreeing with others; disagreeing.  ...  Long, Director of the School and Col- lege Division of the National Safety Council. Movies Proposed For Nazi Re-education New York.—The recent N. Y.  ... 
doi:10.1177/002205744512800417 fatcat:nl2sy4bq6venfpchknajpwnh5u

Intra-Topic Variability Normalization based on Linear Projection for Topic Classification

Quan Liu, Wu Guo, Zhen-Hua Ling, Hui Jiang, Yu Hu
2016 Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies  
As for experiments, state-of-the-art SVM and KNN algorithm are adopted for topic classification respectively.  ...  Secondly, a new feature space for document representation is found by solving the optimization problem with kernel principle component analysis (KPCA).  ...  Acknowledgments This work was supported in part by the Science and Technology Development of Anhui Province, China (Grants No. 2014z02006) and the Fundamental Research Funds for the Central Universities  ... 
doi:10.18653/v1/n16-1051 dblp:conf/naacl/LiuGL0H16 fatcat:76c5rmjx6nhjde3vohthfnonha
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