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Evaluation of Localized Semantics: Data, Methodology, and Experiments

Kobus Barnard, Quanfu Fan, Ranjini Swaminathan, Anthony Hoogs, Roderic Collins, Pascale Rondot, John Kaufhold
<span title="2007-08-07">2007</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hfdglwo5wbbmta6wop52fam7a4" style="color: black;">International Journal of Computer Vision</a> </i> &nbsp;
We present a new data of 1014 images with manual segmentations and semantic labels for each segment, together with a methodology for using this kind of data for recognition evaluation.  ...  The evaluation methodology establishes protocols for mapping algorithm specific localization (e.g., segmentations) to our data, handling synonyms, scoring matches at different levels of specificity, dealing  ...  Developing an image data set with localized semantic labels Our goal is to specify localized image semantics to provide ground truth for a wide variety of evaluation experiments.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11263-007-0068-6">doi:10.1007/s11263-007-0068-6</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/w7iaujyxvfdrbgfsydc3ffqmai">fatcat:w7iaujyxvfdrbgfsydc3ffqmai</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20080424153604/http://kobus.ca/research/publications/IJCV-06/TR-05-08-revised.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d5/ea/d5ea47a1a72ef51479ce74c9b185d06c43a026c0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11263-007-0068-6"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Using a novel source-localized phase regressor technique for evaluation of the vascular contribution to semantic category area localization in BOLD fMRI

An T. Vu, Jack L. Gallant
<span title="2015-11-03">2015</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wrk3kouosrhcxiprcbguskdipu" style="color: black;">Frontiers in Neuroscience</a> </i> &nbsp;
Title Using a novel source-localized phase regressor technique for evaluation of the vascular contribution to semantic category area localization in BOLD fMRI.  ...  However, the impact of this large vein bias on the localization and characterization of semantic category areas has not been examined.  ...  run in the FFA/PPA localization experiment.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fnins.2015.00411">doi:10.3389/fnins.2015.00411</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/26578868">pmid:26578868</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4630295/">pmcid:PMC4630295</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wx2mjglxgzc3vphn42mqss2qsm">fatcat:wx2mjglxgzc3vphn42mqss2qsm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201107204027/https://escholarship.org/content/qt10f836dq/qt10f836dq.pdf?t=qaeaji" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/62/4a/624a7296594aa323fb0081ade374a9c176c90d4c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fnins.2015.00411"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> frontiersin.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4630295" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Evaluation of Cross-View Matching to Improve Ground Vehicle Localization with Aerial Perception [article]

Deeksha Dixit, Surabhi Verma, Pratap Tokekar
<span title="2020-11-15">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
FOV of the ground camera, and the methodology of fusing cross-view measurements in the particle filter.  ...  However, their evaluation over a trajectory is limited. In this paper, we evaluate cross-view matching for the task of localizing a ground vehicle over a longer trajectory.  ...  Experiments In this section, we present the experiments conducted to evaluate the performance of the particle filter localization across system-level design choices and various data collection settings  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2003.06515v4">arXiv:2003.06515v4</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2ecswo5b4nbrje4v7a2azg7vxe">fatcat:2ecswo5b4nbrje4v7a2azg7vxe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201118004230/https://arxiv.org/pdf/2003.06515v4.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fb/64/fb640d7363cd05f232ac89ad059c93a523bec1e8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2003.06515v4" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Automatic Evaluation of Local Topic Quality

Jeffrey Lund, Piper Armstrong, Wilson Fearn, Stephen Cowley, Courtni Byun, Jordan Boyd-Graber, Kevin Seppi
<span title="">2019</span> <i title="Association for Computational Linguistics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5n6volmnonf5tn6xputi5f2t3e" style="color: black;">Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics</a> </i> &nbsp;
Finally, we correlate our proposed metrics with human judgments: an evaluation based on the percent of topic switches correlates most strongly with human judgment of local topic quality.  ...  We elicit human judgments of token-level topic assignments: over a variety of topic model types and parameters, global metrics agree poorly with human assignments.  ...  Any opinions, findings, conclusions, or recommendations expressed here are those of the authors and do not necessarily reflect the view of the sponsor.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/p19-1076">doi:10.18653/v1/p19-1076</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/acl/LundAFCBBS19.html">dblp:conf/acl/LundAFCBBS19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/e5aud6ljmveu3neh5yue7sympi">fatcat:e5aud6ljmveu3neh5yue7sympi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200508045841/https://www.aclweb.org/anthology/P19-1076.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/03/0d/030d9e7dd8cb73f13c47dfa30f473de21727a66a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/p19-1076"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Evaluating Localization Accuracy of Automated Driving Systems

Karl Rehrl, Simon Gröchenig
<span title="2021-08-30">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
Results show the broad applicability of the approach for evaluating localization accuracy and reveal the pros and cons of the different methods and ground truths.  ...  (2) the lane-centerline of a high-definition (HD) map with validated accuracy, (3) localized vehicle body overlaps of the lane-boundaries of a HD map, and (4) longitudinal accuracy at stop points.  ...  Materials and Methods Ground-Truth In order to evaluate localization accuracy of moving objects, beside the localization data, a ground-truth dataset is needed.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21175855">doi:10.3390/s21175855</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34502746">pmid:34502746</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/o7hixfeh7bef5g6p6w3wclr324">fatcat:o7hixfeh7bef5g6p6w3wclr324</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210904133347/https://mdpi-res.com/d_attachment/sensors/sensors-21-05855/article_deploy/sensors-21-05855-v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/02/e5/02e5f59d06dd943fc5254b6840f8b3dcc2c42b8f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21175855"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Global and local evaluation of link prediction tasks with neural embeddings [article]

Asan Agibetov, Matthias Samwald
<span title="2018-07-27">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
By comparing, combining and extending different methodologies for link prediction on graph-based data coming from different domains, we formalize a unified methodology for the quality evaluation benchmark  ...  Our evaluation pipeline is made open source, and with this we aim to draw more attention of the community towards an important issue of transparency and reproducibility of the neural embeddings evaluations  ...  By comparing, combining and extending different methodologies for link prediction on graph-based data coming from different domains, we present a unified methodology for the quality evaluation of neural  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1807.10511v1">arXiv:1807.10511v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/p45oq6ox4rfsdk53ibk4vnpi4e">fatcat:p45oq6ox4rfsdk53ibk4vnpi4e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200914145316/https://arxiv.org/pdf/1807.10511v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5e/eb/5eeb1c088d6968631131c52ff05dc4456f0802d2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1807.10511v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Identifying Complex Semantic Matches [chapter]

Brian Walshe
<span title="">2012</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
To date an evaluation of a system to refine correspondences between classes in the YAGO and DBpedia ontologies has been completed.  ...  This evaluation showed that for a subsumption correspondence, a training set of 30 instances of the class being mapped was sufficient to refine the match to a conditional one 89% of the time.  ...  This research is supported by the Science Foundation Ireland (Grant 08/SRC/I1403) as part of the FAME Strategic Research Cluster (www.fame.ie).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-30284-8_69">doi:10.1007/978-3-642-30284-8_69</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6pkgipcrurgbrktjtx4lnkazba">fatcat:6pkgipcrurgbrktjtx4lnkazba</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180726060037/https://link.springer.com/content/pdf/10.1007%2F978-3-642-30284-8_69.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/8e/1e/8e1e1454881b608790731d9478f3561bacd54d53.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-30284-8_69"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation [article]

Guolei Sun and Wenguan Wang and Jifeng Dai and Luc Van Gool
<span title="2020-07-08">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
, and (3) extra noisy web data.  ...  Moreover, our approach ranked 1st place in the Weakly-Supervised Semantic Segmentation Track of CVPR2020 Learning from Imperfect Data Challenge.  ...  Methodology Problem Setup.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2007.01947v2">arXiv:2007.01947v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pl3dnpopb5dkheytvisnepvtci">fatcat:pl3dnpopb5dkheytvisnepvtci</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200710110824/https://arxiv.org/pdf/2007.01947v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/41/5a/415a1db8bc9a92342c4b0f4ad150692e3766dab2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2007.01947v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Semantic Product Search

Priyanka Nigam, Yiwei Song, Vijai Mohan, Vihan Lakshman, Weitian (Allen) Ding, Ankit Shingavi, Choon Hui Teo, Hao Gu, Bing Yin
<span title="">2019</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fqqihtxlu5bvfaqxjyvqcob35a" style="color: black;">Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining - KDD &#39;19</a> </i> &nbsp;
"women"), and c) sensitivity to spelling errors. To address these issues, we train a deep learning model for semantic matching using customer behavior data.  ...  We study the problem of semantic matching in product search, that is, given a customer query, retrieve all semantically related products from the catalog.  ...  DATA We use 11 months of search logs as training data and 1 month as evaluation. We sample 54 billion query-product training pairs.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3292500.3330759">doi:10.1145/3292500.3330759</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/kdd/NigamSMLDSTGY19.html">dblp:conf/kdd/NigamSMLDSTGY19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/e5j5iwyc3nexfems5qnekxvgcy">fatcat:e5j5iwyc3nexfems5qnekxvgcy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200709125257/https://assets.amazon.science/95/2f/51e4ebdb4347990fedc1815d7327/semantic-product-search.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/af/dd/afdde2dd3c347b6933148ad5863e41edf83eb83e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3292500.3330759"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Semantic Product Search [article]

Priyanka Nigam, Yiwei Song, Vijai Mohan, Vihan Lakshman, Weitian Ding, Ankit Shingavi, Choon Hui Teo, Hao Gu, Bing Yin
<span title="2019-07-01">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
"women"), and c) sensitivity to spelling errors. To address these issues, we train a deep learning model for semantic matching using customer behavior data.  ...  We study the problem of semantic matching in product search, that is, given a customer query, retrieve all semantically related products from the catalog.  ...  DATA We use 11 months of search logs as training data and 1 month as evaluation. We sample 54 billion query-product training pairs.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1907.00937v1">arXiv:1907.00937v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jjyqvkodivbqtcvgv77cop4smm">fatcat:jjyqvkodivbqtcvgv77cop4smm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200929011529/https://arxiv.org/pdf/1907.00937v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/78/ee/78ee0b60a2896be0e21cebb007c37f6d60068b53.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1907.00937v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Semantic Matching Based on Semantic Segmentation and Neighborhood Consensus

Huaiyuan Xu, Xiaodong Chen, Huaiyu Cai, Yi Wang, Haitao Liang, Haotian Li
<span title="2021-05-19">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
Experiments demonstrate that our algorithm has good semantic matching performances and semantic segmentation information can improve semantic matching accuracy.  ...  Specifically, we combine the semantic segmentation network to extract semantic features and the 4D convolution to explore 4D-space context consistency.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app11104648">doi:10.3390/app11104648</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ddz7pjb25jhtfpbjbwyflbldr4">fatcat:ddz7pjb25jhtfpbjbwyflbldr4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210520071645/https://res.mdpi.com/d_attachment/applsci/applsci-11-04648/article_deploy/applsci-11-04648-v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/27/8b/278b7d2f0ea956dcbaf7a8d51050268bbcb9f671.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app11104648"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Which factors influence locals' and visitors' overall restaurant evaluations?

Ilona Pezenka, Christian Weismayer
<span title="2020-08-03">2020</span> <i title="Emerald"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mexetpaeufd5jet2srzki4uwuu" style="color: black;">International Journal of Contemporary Hospitality Management</a> </i> &nbsp;
The purpose of this study is to investigate whether different restaurant attributes are critical in evaluating the restaurant experience in online reviews for visitors (non-local) and local guests.  ...  The influence of different restaurant features on the overall evaluation of visitors and locals is determined and the most critical factors are identified by the frequency of their online discussion.  ...  and evaluation of the holiday experience (Erkmen, 2019; Kivela and Crotts, 2006; Nield et al., 2000) .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1108/ijchm-09-2019-0796">doi:10.1108/ijchm-09-2019-0796</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/u2j7q233prf2tnekznb7uczyym">fatcat:u2j7q233prf2tnekznb7uczyym</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201022011154/https://www.emerald.com/insight/content/doi/10.1108/IJCHM-09-2019-0796/full/pdf?title=which-factors-influence-locals-and-visitors-overall-restaurant-evaluations" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/bc/73/bc73fa95b8bf9444db39ae87e2908abb4d17313b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1108/ijchm-09-2019-0796"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Evaluation Of The Archivematica Ingest Functionality - Metadata And Rights Management For Digital Data Objects Of Local Authorities

Jasmin K. Böhmer, Sarah Higgins
<span title="2016-09-21">2016</span> <i title="Zenodo"> Zenodo </i> &nbsp;
The aim of the dissertation is to comprehend the operating principles of Archivematica 1.5 and evaluate the transfer and ingest functionality for digital data-objects of Local Authorities.  ...  The final research method targets the criteria-based evaluation of the Archivematica ingest according to the recommendations of the Producer-Archive Interface Methodology Standard.  ...  Methodology Qualitative Data Collection Methodology To gather insights on current experiences with ingest and pre-ingest of digital objects in Welsh archives the questionnaire targets professional members  ... 
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What is the Best Grid-Map for Self-Driving Cars Localization? An Evaluation under Diverse Types of Illumination, Traffic, and Environment [article]

Filipe Mutz, Thiago Oliveira-Santos, Avelino Forechi, Karin S. Komati, Claudine Badue, Felipe M. G. França, Alberto F. De Souza
<span title="2020-09-19">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Semantic information is extracted from images with a deep neural network. Experiments are performed in varied environments, under diverse conditions of illumination and traffic.  ...  In this work, we provide data for such analysis by comparing the accuracy of a particle filter localization when using occupancy, reflectivity, color, or semantic grid maps.  ...  EXPERIMENTAL EVALUATION This section presents datasets and the experimental methodology employed for evaluating the mapping and localization techniques.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2009.09308v1">arXiv:2009.09308v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pe26eb3jzvbp3elkk2hf6rkfsi">fatcat:pe26eb3jzvbp3elkk2hf6rkfsi</a> </span>
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Semantic Drift in Multilingual Representations [article]

Lisa Beinborn, Rochelle Choenni
<span title="2020-11-16">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We introduce a methodology for comparing languages based on their organization of semantic concepts.  ...  We perform experiments on word-based and sentence-based multilingual models and provide both quantitative results and qualitative examples.  ...  We then elaborate on the data, the models, and our analyses methods in an extensive methodology section.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1904.10820v4">arXiv:1904.10820v4</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/v7wgarqvxjdsdibc5jmx3v6wy4">fatcat:v7wgarqvxjdsdibc5jmx3v6wy4</a> </span>
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