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Improving Large-Scale Fingerprint-Based Queries in Distributed Infrastructure
[chapter]
2018
Lecture Notes in Computer Science
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In this paper, we propose an efficient approach to improving the performance of large-scale fingerprint-based queries in a distributed infrastructure. ...
Large-scale fingerprint-based query can be used as an important tool in big data analytics, such as set membership query, rank-based query and correlationship query etc. ...
In this paper, we propose a distributed sketching framework to boost the performance of the large-scale queries, such as continuously membership queries and rank-based queries. ...
doi:10.1007/978-3-319-93713-7_36
fatcat:3aglyygembf6rdiz5batit65ui
SHHC: A Scalable Hybrid Hash Cluster for Cloud Backup Services in Data Centers
2011
2011 31st International Conference on Distributed Computing Systems Workshops
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This approach limits the overall throughput and concurrency performance in large scale systems. ...
In this paper we present a scalable hybrid hash cluster (SHHC) to maintain a low-latency distributed hash table for storing data fingerprints. ...
SHHC is a distributed fingerprint store and lookup service which can scale to handle a very large number of concurrent backup clients while maintaining high backup throughput for hash based in-line deduplication ...
doi:10.1109/icdcsw.2011.31
dblp:conf/icdcsw/XuHMJ11
fatcat:eegtsfncbbfdrj6xb2rhzlhrxu
Experiences with performance tradeoffs in practical, continuous indoor localization
2013
2013 IEEE 14th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM)
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develop a novel and practical infrastructure-based location tracking strategy. ...
To ensure that our solution can handle both Android and iOS-based mobile devices (& other closed mobile platforms), we adapt the conventional clientside fingerprinting-based localization approaches to ...
In addition, most of the traditional Wi-Fi fingerprinting based approaches implicitly assume that the mobile clients are able to periodically query the signal strengths of all the Wi-Fi APs deployed in ...
doi:10.1109/wowmom.2013.6583387
dblp:conf/wowmom/KhanRLBM13
fatcat:724rlaawn5hernvddmfm4klppe
A 3D MAP AIDED DEEP LEARNING BASED INDOOR LOCALIZATION SYSTEM FOR SMART DEVICES
2020
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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This work presents a method for efficient and robust indoor localization, allowing to support applications in large-scale environments. ...
To achieve high performance, the proposed concept integrates two main indoor localization techniques: Wi-Fi fingerprinting and deep learning-based visual localization using 3D map. ...
In the future work, we will try to (1) make improvement on the quality of 3D model, and then (2) test the system on large-scale indoor environment. Figure 1 . 1 Overview of the proposed system. ...
doi:10.5194/isprs-archives-xliii-b4-2020-391-2020
fatcat:jjyqlfldgbbplpmrktdytgn67e
Visual Search at Pinterest
[article]
2017
arXiv
pre-print
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a cost-effective, large-scale visual search system with widely available tools. ...
We also demonstrate, through a comprehensive set of live experiments at Pinterest, that content recommendation powered by visual search improve user engagement. ...
or an academic lab to build a large-scale visual search system using a combination of non-proprietary tools. ...
arXiv:1505.07647v3
fatcat:or56oerg2zdqdekxc6bzwqtuna
Visual Search at Pinterest
2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15
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a cost-effective, large-scale visual search system. ...
We also demonstrate, through a comprehensive set of live experiments at Pinterest, that content recommendation powered by visual search improves user engagement. ...
or an academic lab to build a large-scale visual search system using a combination of non-proprietary tools. ...
doi:10.1145/2783258.2788621
dblp:conf/kdd/JingLKZXDT15
fatcat:7vpuuu4uf5dl5nm3ilh2gi4ynu
Camera-based piano sheet music identification
2020
Zenodo
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This paper presents a method for large-scale retrieval of piano sheet music images. Our work differs from previous studies on sheet music retrieval in two ways. ...
In experiments on IMSLP data, our proposed method achieves a mean reciprocal rank of 0.85 and an average runtime of 0.98 seconds per query. ...
Nonetheless, it has been shown to be effective in aligning sheet music and MIDI, and we hypothesize that it may also be used effectively for large-scale retrieval. ...
doi:10.5281/zenodo.4245476
fatcat:vypktz6qkzfprm5b7wefj25wwy
Sourcerer: mining and searching internet-scale software repositories
2008
Data mining and knowledge discovery
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Here we first develop Sourcerer, an infrastructure for the automated crawling, parsing, fingerprinting, and database storage of open source software on an Internet-scale. ...
In addition to serving as a convenient summary for program function and developer activities, these and other related distributions provide a statistical and information-theoretic basis for quantifying ...
Acknowledgements Work in part supported by National Science Foundation MRI grant EIA-0321390 and a Microsoft Faculty Research Award to PB, as well as National Science Foundation grant CCF-0725370 to CL ...
doi:10.1007/s10618-008-0118-x
fatcat:a35reqvchraejas2oyiit447eu
Jigsaw
2011
Proceedings of the 2011 international conference on Management of data - SIGMOD '11
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In Jigsaw, users define whatif style scenarios as parameterized probabilistic database queries and identify parameter values that achieve desired properties. ...
Jigsaw uses a novel "fingerprinting" technique that efficiently identifies correlations between a query's output distribution for different parameter values. ...
We demonstrate the use of fingerprints in the following cases: (1) We show how to use fingerprints to efficiently explore the large parameter space of an optimization query, based on a parameterized Monte ...
doi:10.1145/1989323.1989410
dblp:conf/sigmod/KennedyN11
fatcat:6y2d3an7mvao3h4ja245bgn34q
Camera-Based Piano Sheet Music Identification
[article]
2020
arXiv
pre-print
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This paper presents a method for large-scale retrieval of piano sheet music images. Our work differs from previous studies on sheet music retrieval in two ways. ...
In experiments on IMSLP data, our proposed method achieves a mean reciprocal rank of 0.85 and an average runtime of 0.98 seconds per query. ...
Nonetheless, it has been shown to be effective in aligning sheet music and MIDI, and we hypothesize that it may also be used effectively for large-scale retrieval. ...
arXiv:2007.14579v1
fatcat:wxzwdfen3rh7xfql5vgoflviem
Needle in a haystack: Cost-Effective data analytics for real-time cloud sharing
2014
2014 IEEE 22nd International Symposium of Quality of Service (IWQoS)
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In order to support real-time processing and improve energy efficiency in the cloud, this paper proposes a novel cost-effective data analytics scheme, called Needle. ...
Needle leverages a suitable division-of-labor model between core and edge network nodes to efficiently support content-aware queries in the cloud data center networks. ...
THE NEEDLE DESIGN In large-scale data center networks, a suitable "division of labor" between the core and edge network nodes helps support the content distribution and retrieval in a scalable and efficient ...
doi:10.1109/iwqos.2014.6914316
dblp:conf/iwqos/HuaF14
fatcat:wtn3joxa6rag5gpln6fs4fmmgi
Intrusion Detection and Prevention in Cloud, Fog, and Internet of Things
2019
Security and Communication Networks
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Internet of Things (IoT), cloud, and fog computing paradigms are as a whole provision a powerful large-scale computing infrastructure for many data and computation intensive applications. ...
Hence, it can be seen that the IoT/fog/cloud computing infrastructures can support the whole lifecycle of large-scale applications where big data collection, transmission, storage, processing, and mining ...
Acknowledgments We would also like to cordially thank all the reviewers who have participated in the review process of the articles submitted to this special issue and the special issue coordinators and ...
doi:10.1155/2019/4529757
fatcat:ehi3or2qtbdtzluyvgr5libxpe
A Weighted K-AP Query Method for RSSI Based Indoor Positioning
[chapter]
2016
Lecture Notes in Computer Science
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According to a large scale positioning experiments, WF-SKL algorithm proves its high accuracy and positioning speed comparing with KNN indoor positioning. ...
WF-SKL utilizes LCS algorithm to find out the measurement between the nearest neighbors, and it proposes K-AP (P,Q) nearest neighbor queries between two sets based on Map-Reduce framework. ...
library based on the correlations of RSSI. Furthermore, we introduce an AP fingerprint based WF-SKL algorithm, which adapts the KNN algorithm to a weighted K-AP query method. ...
doi:10.1007/978-3-319-46922-5_12
fatcat:uwhqbtncijfcthx33jqvdt2z3y
On-demand fingerprint selection for 802.11-based positioning systems
2008
2008 International Symposium on a World of Wireless, Mobile and Multimedia Networks
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In this paper, we present two on-demand fingerprint selection algorithms to avoid the cumbersome and time-consuming approach of manually copying all fingerprints. ...
Fingerprinting is a popular technology for 802.11based positioning systems: Radio characteristics from different access points are measured at various positions and stored in a database. ...
In [8] , the authors slightly touch the question how the fingerprint database can be distributed to a large set of mobile devices. ...
doi:10.1109/wowmom.2008.4594839
dblp:conf/wowmom/KingHE08
fatcat:lckwqmipy5efflch5nxdg4r4hu
A two-way street between AI research and media scholars
2022
Zenodo
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With the rapid advance of Artificial Intelligence (AI), increased availability of digitised and born-digital sources from a wide range of collection owners, researchers can gain new perspectives on large-scale ...
But what are the actual requirements that humanities scholars have for the use of such AI-based tooling? ...
Additionally, to facilitate more generous access to this large-scale data for quantitative analysis, it provides Jupyter Notebooks in combination with the existing archive APIs that allow users to perform ...
doi:10.5281/zenodo.6532640
fatcat:ckfebnlxxzgh5egoex56wm25ti
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