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A Keygraph Classification Framework for Real-Time Object Detection [article]

Marcelo Hashimoto, Roberto M. Cesar Jr
2009 arXiv   pre-print
Successful experimental results obtained for real-time object detection in video sequences are reported.  ...  In this paper, we propose a new approach for keypoint-based object detection.  ...  Acknowledgments We would like to thank FAPESP, CNPq, CAPES and FINEP for the support.  ... 
arXiv:0901.4953v1 fatcat:7wzzdqtmybbktbixhozla73rhe

Anomaly Based Worm Detection Using Deterministic Finite Automata and Efficient Keygraph Technique

B Leelavathi, Rajesh Babu M.
2018 Journal of Data Processing  
Nowadays, detecting unknown computer worms is a challenging task.  ...  The evaluation results shows that by applying classification algorithms, the detection ratio obtained for specific unknown worms exceeds 98%.  ...  The keygraph classifier is used along with data crystallization to detect the known and unknown attack and the final result is obtained. The proposed model produces good results in worm detection.  ... 
doi:10.6025/jdp/2018/8/2/63-73 fatcat:pv2eew2vr5cphmb2is52a4ng6e

Efficient Event Detection for the Blogosphere

Patrick Hennig, Philipp Berger, Daniel Kurzynski, Hannes Rantzsch, Christoph Meinel
2014 2014 IEEE Fourth International Conference on Big Data and Cloud Computing  
In this paper we come up with a novel approach for the early detection of events in blog entries. The detection of trend is already discussed pretty often.  ...  The presented algorithms detects unique happenings at a given point in time by perceiving unusual frequent occurrences of words or word groups.  ...  The KeyGraph for a time unit then contains only keywords that are bursty in this time unit. Now we can generate a set of events for each KeyGraph and unify the resulting sets to one result.  ... 
doi:10.1109/bdcloud.2014.67 dblp:conf/bdcloud/HennigBKRM14 fatcat:q5tubecth5h7hbzxlrdxj4jao4

Matching Article Pairs with Graphical Decomposition and Convolutions

Bang Liu, Di Niu, Haojie Wei, Jinghong Lin, Yancheng He, Kunfeng Lai, Yu Xu
2019 Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics  
Extensive evaluations of the proposed methods on the two datasets demonstrate significant improvements over a wide range of state-of-the-art methods for natural language matching.  ...  Existing approaches for modeling and matching sentence pairs do not perform well in matching longer documents, which embody more complex interactions between the enclosed entities than a sentence does.  ...  However, we do not apply these operations due to the time complexity. Concept Detection (Optional). The structure of KeyGraph reveals the connections between keywords.  ... 
doi:10.18653/v1/p19-1632 dblp:conf/acl/LiuNWGHLX19 fatcat:uotywfpby5eojahfnjnbke6fhq

Automatic Life-Logging: A novel approach to sense real-world activities by environmental sound cues and common sense

Mostafa Al Masum Shaikh, Md. Khademul Islam Molla, Keikichi Hirose
2008 2008 11th International Conference on Computer and Information Technology  
Only very recently the detection of real-world activities has been attempted by processing multiple sensors data along with inference logic for real-world activities.  ...  To the best of our knowledge, this system pioneers the use of environmental sound based activity recognition in mobile computing to reflect one's real-world activity for ambient communication.  ...  This work was supported in part by a grant from Japan Society for the Promotion of Science (JSPS).  ... 
doi:10.1109/iccitechn.2008.4803018 fatcat:n4plmhxdwbaphpedkwbdyxu2tm

Recognition of Real-World Activities from Environmental Sound Cues to Create Life-Log [chapter]

Mostafa Al Masum Shaikh, Keikichi Hirose, Mitsuru Ishizuk
2011 The Systemic Dimension of Globalization  
Only very recently the detection of real-world activities has been attempted by processing multiple sensors data along with inference logic for real-world activities.  ...  Acoustic Event Detection (AED) is a recent sub-area of computational auditory scene analysis (Wang and Brown, 2006 ) that deals with the first objective.  ...  For example, if the system detects a sound cue related to eating activity during BN (before noon) time frame on a weekday and if the user is a service-holder, it doesn't log the event because the user  ... 
doi:10.5772/22491 fatcat:l66k3mgwzvhmvniy6b6mhmobce

Online Social Networks Event Detection: A Survey [chapter]

Mário Cordeiro, João Gama
2016 Lecture Notes in Computer Science  
New or unforeseen events need to be identified and tracked on a real-time basis providing accurate results as quick as possible.  ...  This specific problem of event detection becomes even more serious due to the real-time nature of online social networks.  ...  Acknowledgements This work was supported by national funds, through the Portuguese funding agency, Fundação para a Ciência e a Tecnologia (FCT), and by European Commission through the project MAESTRA (  ... 
doi:10.1007/978-3-319-41706-6_1 fatcat:zdoso55jzjbypkye7w3uozcjce

A History and Theory of Textual Event Detection and Recognition

Yanping Chen, Zehua Ding, Qinghua Zheng, Yongbin Qin, Ruizhang Huang, Nazaraf Shah
2020 IEEE Access  
., actor, object, and time.  ...  [13] presented a framework for finding groups of cohesive subgraphs in a weighted entity graph. In this graph, nodes represent real world entities.  ... 
doi:10.1109/access.2020.3034907 fatcat:ng7mbplve5dttao7ro6e2623ti

A Cognitive Personal Assistant System to Enhance the Individual-Centric Research Capabilities

R. Gowtham, Sanjay S. P., Shishir Kumar Shandilya, S. Sountharrajan
2021 International Journal of Web-Based Learning and Teaching Technologies  
(Shandilya & Jain, 2009) proposed a four-stage framework to detect hot topics from the images and shot texts posted on Twitter.  ...  (Ho et al., 2014 ) developed a generic model for the hot topic detection on the social networks.  ... 
doi:10.4018/ijwltt.20210701.oa1 fatcat:4mcs4d364vgezbsfhmspagk65e

A Survey on Event Detection Models for Text Data Streams

Wafa Zubair AL-Dyani, Farzana Kabir Ahmad, Siti Sakira Kamaruddin
2020 Journal of Computer Science  
The main objective of this survey paper is to provide a complete view of the recent developments in ED field.  ...  Among these phases, event detection phase has a vital rule in the performance of the ED model.  ...  Acknowledgement Authors would like to thank Universiti Utara Malaysia for their financial support, editors and anonymous reviewers for valuable comments.  ... 
doi:10.3844/jcssp.2020.916.935 fatcat:r66b5g3vvnezhpbs4hymulmtqq

Good and bad events: combining network-based event detection with sentiment analysis

Iraklis Moutidis, Hywel T. P. Williams
2020 Social Network Analysis and Mining  
In prior work, we developed a system (network event detection, NED) to assist analysts by detecting events within high-volume news streams in real time.  ...  First, we introduce a new approach to named entity disambiguation for tweets, which contain minimal information due to brevity.  ...  This creates the need for automated systems that can assist human analysts by processing large volumes of content from heterogeneous news streams in real time, detect and track breaking news events, and  ... 
doi:10.1007/s13278-020-00681-4 fatcat:n4cj7vnerfeelhjbms3p44qx3q

China in the eyes of news media: a case study under COVID-19 epidemic

Hong Huang, Zhexue Chen, Xuanhua Shi, Chenxu Wang, Zepeng He, Hai Jin, Mingxin Zhang, Zongya Li
2021 Frontiers of Information Technology & Electronic Engineering  
To better understand how the international public portrays China, especially during the epidemic, we present a case study with big data technology.  ...  Macnamara (2005) interpreted content analysis as a technique for describing what is said at a given place and a given time with objectivity and accuracy.  ...  An entity is a real-world object, such as a person or an organization. We extract and analyze the first few entities of most media interest in each category.  ... 
doi:10.1631/fitee.2000689 fatcat:q63s2ztm65awnb7gsryq3wxilq

Machine Learning Methods for Keyword Extraction and Indexing

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
The objective of the search is to quickly return the set of most relevant documents given a search string.  ...  Accomplishing this task for a fixed query involves determining the most relevant documents form the big-data. Queries given to the IR systems are enabled by the keywords.  ...  In the real-world use cases, the data does not perfectly follow a known pattern, and it is not worthwhile to engineer a specialized index for every use case.  ... 
doi:10.35940/ijitee.b1004.1292s19 fatcat:5bhgqydddnezpdqskk3u2t6oj4

Methodological Considerations on Chance Discovery [chapter]

Helmut Prendinger, Mitsuru Ishizuka
2001 Lecture Notes in Computer Science  
This paper investigates the methodological foundations of a new research field called chance discovery, which aims to detect future opportunities and risks.  ...  The prediction-explanation asymmetry and evaluation of chance discovery models are discussed a fundamental problems of this field.  ...  This research is supported by a JSPS Research Grant (1999Grant ( -2003 for the Future Program.  ... 
doi:10.1007/3-540-45548-5_58 fatcat:ekzafkbatzcwxba3rpljqrzs44

Semantic-based topic detection using Markov decision processes

Qian Chen, Xin Guo, Hexiang Bai
2017 Neurocomputing  
and KeyGraph.  ...  In order to find the optimal topic to describe the related corpus, we defined a topic pruning process, which was used for topic detection.  ...  Sayyadi and Raschid proposed a graph analytical approach for topic detection called KeyGraph (KG) [11] .  ... 
doi:10.1016/j.neucom.2017.02.020 fatcat:yvze46zl3jbyppnbvz4pkyvcqe
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