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Crawling Hidden Objects with KNN Queries

Pavankumar Naik, Basavaraj Muragod, Prema, Renuka, Aaisha, Malati
<i > International Research Journal of Engineering and Technology (IRJET) </i> &nbsp; <span class="release-stage">unpublished</span>
This paper deals with the information about finding the problem of crawling (searching) all objects efficiently from an LBS website, it provides the public kNN web search interface.  ...  with the density of LBS objects, is available.  ...  KNN Queries Web-based search technique provides a kNN (crawling nearest neighbour) query. exactly, for a user-specific query location q, these websites extract the objects form in its backend database  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cdczfzciavca7fbu6333yx3vea">fatcat:cdczfzciavca7fbu6333yx3vea</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180503082822/https://irjet.net/archives/V4/i5/IRJET-V4I5761.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/d9/24/d92433adf1717a916ae6559beb9951f54eb025cc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a>

Edge-Based Detection and Classification of Malicious Contents in Tor Darknet Using Machine Learning

Runchuan Li, Shuhong Chen, Jiawei Yang, Entao Luo, Ke Gu
<span title="2021-11-22">2021</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/khqygtfojnby3jyh5obuwd7ko4" style="color: black;">Mobile Information Systems</a> </i> &nbsp;
The classifier will be used in an operational system which can help researchers quickly obtain malicious contents and categorize hidden services.  ...  Due to a sea of malicious contents in Darknet, it is of high research value to combine edge computing with content detection and analysis.  ...  According to the domain name address sent by the client, the server queries the corresponding hidden service descriptor and returns, and then, the client resolves the IPO address. e client's OA chooses  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/8072779">doi:10.1155/2021/8072779</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lq7yk54bmvbg7poivlxuphwsdy">fatcat:lq7yk54bmvbg7poivlxuphwsdy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220117220523/https://downloads.hindawi.com/journals/misy/2021/8072779.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/6f/1c/6f1c763b64b6645e8609bfe607c8246c981ad171.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/8072779"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a>

ExSearch

Lei Ji, Jun Yan, Ning Liu, Wen Zhang, Weiguo Fan, Zheng Chen
<span title="">2009</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6g37zvjwwrhv3dizi6ffue642m" style="color: black;">Proceeding of the 18th ACM conference on Information and knowledge management - CIKM &#39;09</a> </i> &nbsp;
Finally, we validate and rank the search results according to user queries. Experimental results show that each component module in our proposed ExSearch system is efficient and effective.  ...  To break this bottleneck, we integrate a data enhancing algorithm with the classical KNN style classifier for object classification [12] .  ...  Then for each object name, the top category with the largest weight is considered as its final category. This classification algorithm is actually a weighted KNN procedure.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1645953.1646125">doi:10.1145/1645953.1646125</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/cikm/JiYLZFC09.html">dblp:conf/cikm/JiYLZFC09</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ybfdgzfsondb7feujticfapcqq">fatcat:ybfdgzfsondb7feujticfapcqq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808051544/http://hiplab.mc.vanderbilt.edu/~zhangw/p1357-ji.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/29/ad/29ada3240974e74784f252e8263e7ab9061dadad.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1645953.1646125"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

A Survey on Information Retrieval, Text Categorization, and Web Crawling [article]

Youssef Bassil
<span title="2012-12-10">2012</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The paper also tackles text categorization along with its application in neural networks and machine learning.  ...  It goes deep into the document and query modelling involved in IR systems, in addition to pre-processing operations such as removing stop words and searching by synonym techniques.  ...  The objective of crawling is to quickly and efficiently gather as many useful web pages as possible, together with the link structure that interconnects them [6] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1212.2065v1">arXiv:1212.2065v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bfevvvqml5abzapdvxrwwxblea">fatcat:bfevvvqml5abzapdvxrwwxblea</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200927233823/https://arxiv.org/ftp/arxiv/papers/1212/1212.2065.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/16/6b/166b736d0ff056644ba8be38c168e76f53cda487.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1212.2065v1" 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>

Hub Co-occurrence Modeling for Robust High-Dimensional kNN Classification [chapter]

Nenad Tomašev, Dunja Mladenić
<span title="">2013</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;
The proposed approach was tested in the context of object recognition from images in class imbalanced data and the results show that it offers clear benefits when compared to the other hubness-aware kNN  ...  Hidden nodes are used to aggregate all pairwise occurrence dependencies.  ...  Some recent experiments suggest that the kNN might also be quite appropriate for object recognition in images [11] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-40991-2_41">doi:10.1007/978-3-642-40991-2_41</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dtlk3u7enjdyfm4avgon6b4vxa">fatcat:dtlk3u7enjdyfm4avgon6b4vxa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190426185842/https://link.springer.com/content/pdf/10.1007%2F978-3-642-40991-2_41.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/5b/4c/5b4c4a8ad2858cb2b9486e527ddae36ea8fe6bbf.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-40991-2_41"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Multi-modal dialog for browsing large visual catalogs using exploration-exploitation paradigm in a joint embedding space [article]

Indrani Bhattacharya, Arkabandhu Chowdhury, Vikas Raykar
<span title="2019-01-29">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Our experiments are promising and show that the agent is capable of learning and can display relevant results with an average cosine similarity of 0.85 to the ground truth.  ...  We focus on a slightly asymmetric version of the complete multi-modal dialog where the system can understand both text and image queries but responds only in images.  ...  simple KNN based methods.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1901.09854v2">arXiv:1901.09854v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mccrz4unfjhqbex75iq6eisody">fatcat:mccrz4unfjhqbex75iq6eisody</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191022112954/https://arxiv.org/pdf/1901.09854v2.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/5b/a4/5ba462927e829c572c841b7828e84bc3e613740c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1901.09854v2" 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>

Leveraging Usage Data for Linked Data Movie Entity Summarization [article]

Andreas Thalhammer, Ioan Toma, Antonio Roa-Valverde, Dieter Fensel
<span title="2012-04-12">2012</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
This leads to the idea that features that entities share with their nearest neighbors can be considered as significant or important for these entities.  ...  Freebase), the search space for properties and objects is very restricted.  ...  Given only this query, we were able to match more than 10000 out of 10197 movies. 13 For performance reasons, we crawled the RDF-XML 14 representation from Freebase 15 and stored it to a local triple  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1204.2718v1">arXiv:1204.2718v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/o7qyxaqlzzavtd4bsvnhfrjewu">fatcat:o7qyxaqlzzavtd4bsvnhfrjewu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200911074301/https://arxiv.org/pdf/1204.2718v1.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/31/27/3127ca8c5f072f53d89d377d65b5c7c3a1d62221.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1204.2718v1" 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>

Representation Learning with Multi-level Attention for Activity Trajectory Similarity Computation

An Liu, Yifan Zhang, Xiangliang Zhang, Guanfeng Liu, Yanan Zhang, Zhixu Li, Lei Zhao, Qing Li, Xiaofang Zhou
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ht3yl6qfebhwrg7vrxkz4gxv3q" style="color: black;">IEEE Transactions on Knowledge and Data Engineering</a> </i> &nbsp;
The similarity of two trajectories is computed by weighting individual trajectory points and contextual features with multi-level attention mechanisms.  ...  Especially, activity trajectory from LBSN (Location-based Social Network) endows traditional trajectory data with additional user semantic activities, e.g., visiting work/home/entertainment places.  ...  queries (KNN): This evaluation is to measure how each model is robust to the KNN query regarding trajectory variations.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tkde.2020.3010022">doi:10.1109/tkde.2020.3010022</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/smeufwgtkzclxc2pgksh374agq">fatcat:smeufwgtkzclxc2pgksh374agq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201104135606/https://repository.kaust.edu.sa/bitstream/handle/10754/664294/TrajRL.pdf;jsessionid=65E93AE9C42FB72978E00173C206E066?sequence=1" 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/b8/53/b8535c04d90794c56bc64d9db4f5ab26a9cbd284.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tkde.2020.3010022"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

An Empirical Approach for Extreme Behavior Identification through Tweets Using Machine Learning

Sharif, Mumtaz, Shafiq, Riaz, Ali, Husnain, Choi
<span title="2019-09-06">2019</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
The related tweets were crawled using query words and then carefully labelled into two classes: Extreme (having two sub-classes: pro-Afghanistan government and pro-Taliban) and Neutral.  ...  Furthermore, the classification algorithms like naïve Bayes', K Nearest Neighbors (KNN), random forest, Support Vector Machine (SVM) and ensemble classification methods (with bagging and boosting), etc  ...  The first step is to perform an Exploratory Data Analysis (EDA) [37, 38] , where the objective is to have a better understanding of underlying hidden patterns in the data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app9183723">doi:10.3390/app9183723</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/i7x37l2nbjdqjj5ftm44dtnrii">fatcat:i7x37l2nbjdqjj5ftm44dtnrii</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200215020310/https://res.mdpi.com/d_attachment/applsci/applsci-09-03723/article_deploy/applsci-09-03723-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/a1/f0/a1f04d2bc2f9b6029c1a2a1aee30eaf9b95e1baa.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app9183723"> <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>

Canonical contextual distance for large-scale image annotation and retrieval

Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi
<span title="">2009</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/lahlxihmo5fhzpexw7rundu24u" style="color: black;">Proceedings of the First ACM workshop on Large-scale multimedia retrieval and mining - LS-MMRM &#39;09</a> </i> &nbsp;
In order to retrieve the unlabeled images with queries, we use the maximum likelihood estimation. We let wnew denote the words of the searching queries.  ...  To realize true generic systems, we must train them with versatile and sufficient image samples that cover the large appearance variations exhibited by real world objects.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1631058.1631062">doi:10.1145/1631058.1631062</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/mm/NakayamaHK09.html">dblp:conf/mm/NakayamaHK09</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/c3fvflp5hzasjpsfcdbxdl6h4u">fatcat:c3fvflp5hzasjpsfcdbxdl6h4u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809232833/http://www.isi.imi.i.u-tokyo.ac.jp/publication/2009/ACMM2009_nakayama.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/81/1c/811cab87c37cafde75d5b289639fa409d8c4af86.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1631058.1631062"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Memorizing Transformers [article]

Yuhuai Wu and Markus N. Rabe and DeLesley Hutchins and Christian Szegedy
<span title="2022-03-16">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this work, we extend language models with the ability to memorize the internal representations of past inputs.  ...  We demonstrate that an approximate kNN lookup into a non-differentiable memory of recent (key, value) pairs improves language modeling across various benchmarks and tasks, including generic webtext (C4  ...  The retrieved surrounding context (highlighted) is the definition body of the mathematical object highlighted in the querying context.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2203.08913v1">arXiv:2203.08913v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/uzezxi3kobd6dl6t5x4rcketo4">fatcat:uzezxi3kobd6dl6t5x4rcketo4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220319023217/https://arxiv.org/pdf/2203.08913v1.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/0e/80/0e802c0739771acf70e60d59c2df51cd7e8c50c0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2203.08913v1" 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>

Performance Evaluation of Text-Mining Models with Hindi Stopwords Lists

Ruby Rani, D.K. Lobiyal
<span title="">2020</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/o63dl5tt4rchrgx6avnqabwxd4" style="color: black;">Journal of King Saud University: Computer and Information Sciences</a> </i> &nbsp;
We also compare our prepared stopword lists with the baselines and conclude that the technique which fetches the best features does not necessarily identify the candidate stop words.  ...  There are two objectives that NRPE achieved.  ...  For instance, suppose we search a query, e.g., "what are the benefits of stopword removal in text mining?" on any search engine with sample space of N web pages.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.jksuci.2020.03.003">doi:10.1016/j.jksuci.2020.03.003</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6uc2afb6zfbffc3e6o5e5ghbvy">fatcat:6uc2afb6zfbffc3e6o5e5ghbvy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200316142206/https://pdf.sciencedirectassets.com/280416/AIP/1-s2.0-S1319157820303232/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEKb%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJIMEYCIQDROPXaoaawEW5jsUKvz%2BbRuWSvHaSXK%2BfAJtejVnKd9wIhAPp87SJG1GY7hb8yefAIO6Xhu31T1C9vKjner7WD8D%2BZKr0DCI7%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEQAhoMMDU5MDAzNTQ2ODY1Igy0NXh7gtEYyx58jnEqkQNfN2P7xZ3K2fYe%2BaBfDnbniFZ56Tp6Yoxm%2Bz2lq9Y6%2BPO595Qr3veNUoe6p1gJbDM7EO2NnEdCTbTj7vGd0IQLiT3QbebcKVjmwis5Oz4dYgKPRWWt0CsUMWcPCzITfuwar7moXrtrRSkfhqQVqvV4C8dkY%2FqLIa%2BtP4uC6XRfauwVBqZg75Cp7gK3oNFZi0FlfzHUa%2FbSWHlHuz7OPEjZdfyWKhSKs%2FL0EwuJEgTTes2SIMsNkWyExNIzubCmyPsZh00Aq1cltETGCteJl3JE2Xj9cUtJrvTNzDSIokyLAF10R5sByoNbrhNBNu7Fo%2Fn%2F%2FsOn3lRkIVC1RqmUgBZzuyNwRfeDmJvjJ%2B74bVJjn4ifyyQd%2BbhOxNnvgBLK0utxRheV8y6%2Bh4n65IfRq%2F12vmXpQNnimOd1ExtlnetWv5O0EK81ksUkKKL6YzZ5%2BcKis2iaLXa7KBNI2Hs9PMUei6H3SobFEgYes%2BwKluUD4NInpkgWH7HQF7Ps0DhMbYaFbvKZ1b0IGWfCfEk1vfV3LjDu%2Br3zBTrqAaWELQf8OXvuapaAmYFAIIDVSXgIqo0AFUzDHqgfZM9YhNTZNIlsvN7NKSrqE8wHCmCipTwgKN%2FUpXk47BHSGMGlgAEk%2Fk8AC4qPfu%2FhHeUHGUNa%2BYz%2FmGKPZMfC0ArRy62h%2Fqg3AVwS3tbezs%2B%2BEsa9kzNZRHle9pryjW7jnjGRdgR2K2JtzuYU%2BBMSZg%2FdO3xcV43iafGiSq8m3f8IrVVXjvslIPgwf%2BwyrTHyfbFzpDdMFTVsGDd0r1YFqcOapVuT%2FNoLZZbRr2CscXAtLeKSSmoeSrOQJALX49lpAYJeymoMSbQUQxq%2Byw%3D%3D&amp;X-Amz-Algorithm=AWS4-HMAC-SHA256&amp;X-Amz-Date=20200316T142200Z&amp;X-Amz-SignedHeaders=host&amp;X-Amz-Expires=300&amp;X-Amz-Credential=ASIAQ3PHCVTYXPN64BXU%2F20200316%2Fus-east-1%2Fs3%2Faws4_request&amp;X-Amz-Signature=b797cf1dd8d4c3742eaf54dd5008cba858c13c42b565c7cf8f0c496ea9ef2471&amp;hash=7c57d5bb485c638c1eb4d10f1996b60bf77e784de90ca1d87140b6f1de73e2d3&amp;host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&amp;pii=S1319157820303232&amp;tid=spdf-6703cfcd-cc72-4dfa-9b73-eb5d32253c12&amp;sid=e695e7ba9749b94cfe6b0b501ed35b27f7d8gxrqa&amp;type=client" 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] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.jksuci.2020.03.003"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a>

Using Wide Table to manage web data: a survey

Bin Yang, Weining Qian, Aoying Zhou
<span title="2008-08-12">2008</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/lejplxv3urh7tijuaocipilkde" style="color: black;">Frontiers of Computer Science in China</a> </i> &nbsp;
Thus, existing query processing and optimization techniques for relational database with normalized tables will not work efficiently anymore. Furthermore, WT is usually of extremely large volume.  ...  Second, queries are composed on only a small subset of the attributes.  ...  An adjacency matrix can be created, and KNN clustering algorithm will find out the hidden schema.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11704-008-0050-7">doi:10.1007/s11704-008-0050-7</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/itiyzip3yjc5tfseibzzupzzji">fatcat:itiyzip3yjc5tfseibzzupzzji</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20121030165618/http://yangbinisme.drivehq.com:80/papers/FCSC.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/b2/bb/b2bbb03db8e90048f4e8e621bf69ce2b318c3fe4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11704-008-0050-7"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

SMiLer

Jingbo Zhou, Anthony K.H. Tung
<span title="">2015</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vxrc3vebzzachiwy3nopwi3h5u" style="color: black;">Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD &#39;15</a> </i> &nbsp;
On the one hand, a central challenge with such a semi-lazy learning model is the substantial model-building effort at kNN query time, which could lead to unacceptable latency.  ...  We propose a novel two-level inverted-like index to support kNN search using the DTW on the GPU, making such "just-in-time" query-dependent model construction feasible for real-time applications.  ...  However, it is not trivial for kNN search with different query lengths but sharing common suffix.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2723372.2749429">doi:10.1145/2723372.2749429</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sigmod/ZhouT15.html">dblp:conf/sigmod/ZhouT15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rmyx5pyhezeetflwdcazybik6m">fatcat:rmyx5pyhezeetflwdcazybik6m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170811232437/http://www.comp.nus.edu.sg/~atung/publication/smiler.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/96/79/96798a1c641467a406066de64b52c11bc957e166.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2723372.2749429"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation [article]

Hermann Blum, Paul-Edouard Sarlin, Juan Nieto, Roland Siegwart, Cesar Cadena
<span title="2019-09-09">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
It evaluates pixel-wise uncertainty estimates towards the detection of anomalous objects in front of the vehicle.  ...  FS Web is built similarly to FS Static, but with overlay objects crawled from the internet using a list of keywords.  ...  All values are measured with the same kNN fitting. As the computational time for each query grows with k, small values are preferable.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1904.03215v3">arXiv:1904.03215v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sqmuem3gwzekhlc7ptu2r26oji">fatcat:sqmuem3gwzekhlc7ptu2r26oji</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200930055656/https://arxiv.org/pdf/1904.03215v3.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/8c/02/8c0274f5238b91adba65fce1ec4da5ec5eb1b54e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1904.03215v3" 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>
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