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A Generic Deformation Model for Dense Non-rigid Surface Registration: A Higher-Order MRF-Based Approach

Yun Zeng, Chaohui Wang, Xianfeng Gu, Dimitris Samaras, Nikos Paragios
<span title="">2013</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/753trptklbb4nj6jquqadzwwdu" style="color: black;">2013 IEEE International Conference on Computer Vision</a> </i> &nbsp;
Then we jointly establish the optimal correspondences for all the points via maximum a posteriori (MAP) inference.  ...  Moreover, we develop a parallel optimization algorithm to efficiently perform the inference for the proposed higher-order MRF model.  ...  memory and achieves significant speedup via an implementation in distributed hardware.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iccv.2013.417">doi:10.1109/iccv.2013.417</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/iccv/ZengWGSP13.html">dblp:conf/iccv/ZengWGSP13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/t6b6gnswxvgrverrj4lnraqi6u">fatcat:t6b6gnswxvgrverrj4lnraqi6u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20140107095419/http://www.cs.stonybrook.edu/~ial/content/papers/2013/CDC_HOMRF_ICCV13.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/e2/4e/e24e6240a4fe297af245f4090f2252ac7ceb5f5a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iccv.2013.417"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Associative Memory Model Based in ICA Approach to Human Faces Recognition [chapter]

Celso Hilario, Josue-Rafael Montes, Teresa Hernndez, Leonardo Barriga, Hugo Jimnez
<span title="2012-10-10">2012</span> <i title="InTech"> Independent Component Analysis for Audio and Biosignal Applications </i> &nbsp;
Note, for small sizes (8 and 16) of image patterns, and for considerable high dimensions, the memory miss classify (64 or more).  ...  E(Ψ n ) Then, the validation of memory is performed measuring the degree of accuracy of recognition any face, to corresponding class.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/48442">doi:10.5772/48442</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2bd66loj35ae7pps57kv7pdn5y">fatcat:2bd66loj35ae7pps57kv7pdn5y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190430061021/https://cdn.intechopen.com/pdfs/39847.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/5d/0e5d583cdca9db2254428833370649d15349fffd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/48442"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

High-performance Kernel Machines with Implicit Distributed Optimization and Randomization [article]

Vikas Sindhwani, Haim Avron
<span title="2015-04-16">2015</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We propose an algorithmic framework and high-performance implementation for massive-scale training of kernel-based statistical models, based on combining two key technical ingredients: (i) distributed  ...  However, their high computational costs (in storage and time) pose a significant barrier to their widespread adoption in big data applications.  ...  In this work, we develop a highly scalable algorithmic framework and software implementation for kernel methods, for distributed-memory computing environments.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1409.0940v3">arXiv:1409.0940v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dw3lzspvmnbyhouwgieqeij6sy">fatcat:dw3lzspvmnbyhouwgieqeij6sy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191020124130/https://arxiv.org/pdf/1409.0940v3.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/75/e2/75e2c0ee1e06e46ee2ed92b169956599ab92a2e2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1409.0940v3" 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>

A deep facial recognition system using computational intelligent algorithms

Diaa Salama AbdELminaam, Abdulrhman M. Almansori, Mohamed Taha, Elsayed Badr, Seyedali Mirjalili
<span title="2020-12-03">2020</span> <i title="Public Library of Science (PLoS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s3gm7274mfe6fcs7e3jterqlri" style="color: black;">PLoS ONE</a> </i> &nbsp;
The proposed system has been evaluated using three datasets of face images (SDUMLA-HMT, 113, and CASIA) via performance metrics of accuracy, precision, sensitivity, specificity, and time.  ...  Many scientists and engineers around the world have focused on establishing increasingly robust and accurate algorithms and methods for these types of systems and their applications in everyday life.  ...  Today, cloud computing and fog computing are available to enhance the performance of face recognition and decrease time complexity.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0242269">doi:10.1371/journal.pone.0242269</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33270670">pmid:33270670</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hbflgnm4vbd3xkki3czesp3ady">fatcat:hbflgnm4vbd3xkki3czesp3ady</a> </span>
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Visual Psychophysics for Making Face Recognition Algorithms More Explainable [chapter]

Brandon RichardWebster, So Yon Kwon, Christopher Clarizio, Samuel E. Anthony, Walter J. Scheirer
<span title="">2018</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
In this paper, we suggest that visual psychophysics is a viable methodology for making face recognition algorithms more explainable.  ...  A comprehensive set of procedures is developed for assessing face recognition algorithm behavior, which is then deployed over state-of-the-art convolutional neural networks and more basic, yet still widely  ...  For all experiments, we made use of the following face recognition algorithms: VGG-Face [59] , FaceNet [60] , OpenFace [61] , a simple three-layer CNN trained via high-throughput search of random weights  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-030-01267-0_16">doi:10.1007/978-3-030-01267-0_16</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/n6jxubyua5fgnm3hwe7jfchmhu">fatcat:n6jxubyua5fgnm3hwe7jfchmhu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180922005017/http://openaccess.thecvf.com:80/content_ECCV_2018/papers/Brandon_RichardWebster_Visual_Psychophysics_for_ECCV_2018_paper.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/37/a0/37a091b64942c0581abdd498bf695c5bab6fb6ea.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-030-01267-0_16"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Visual Psychophysics for Making Face Recognition Algorithms More Explainable [article]

Brandon RichardWebster, So Yon Kwon, Christopher Clarizio, Samuel E. Anthony, Walter J. Scheirer
<span title="2018-07-19">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this paper, we suggest that visual psychophysics is a viable methodology for making face recognition algorithms more explainable.  ...  A comprehensive set of procedures is developed for assessing face recognition algorithm behavior, which is then deployed over state-of-the-art convolutional neural networks and more basic, yet still widely  ...  For all experiments, we made use of the following face recognition algorithms: VGG-Face [59] , FaceNet [60] , OpenFace [61] , a simple three-layer CNN trained via high-throughput search of random weights  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1803.07140v2">arXiv:1803.07140v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pbe3tejkzvefxbdpqdqifir4cm">fatcat:pbe3tejkzvefxbdpqdqifir4cm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200904125101/https://arxiv.org/pdf/1803.07140v2.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/7e/d8/7ed82c6b85690a599b55581b3a532111459696e7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1803.07140v2" 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>

Higher-Order Graph Principles towards Non-Rigid Surface Registration

Yun Zeng, Chaohui Wang, Xianfeng Gu, Dimitris Samaras, Nikos Paragios
<span title="2016-12-01">2016</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3px634ph3vhrtmtuip6xznraqi" style="color: black;">IEEE Transactions on Pattern Analysis and Machine Intelligence</a> </i> &nbsp;
Such a deformation model is introduced into a higher-order Markov Random Field for dense surface registration, and is inferred using a new parallel and memory efficient algorithm.  ...  Nevertheless, its performance degrades significantly when addressing anisometric registration for a set of densely sampled points.  ...  Acknowledgments This work was partially supported from the European Research Council Starting Grant DIOCLES (ERC-STG-259112), AFOSR FA9550-10-1-0294, NSF DMS-1221339, and NSF DMS-1418255.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tpami.2016.2528240">doi:10.1109/tpami.2016.2528240</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/26886966">pmid:26886966</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/f4tb22a7dbcnjgkb4m2nr24fhq">fatcat:f4tb22a7dbcnjgkb4m2nr24fhq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829174210/https://hal.inria.fr/hal-01086052/document" 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/f6/1e/f61eafe4b194511a8ff5ba2d8d0194ae5ca20acf.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tpami.2016.2528240"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Data-Driven Stream Mining Systems for Computer Vision [chapter]

Shuvra S. Bhattacharyya, Mihaela van der Schaar, Onur Atan, Cem Tekin, Kishan Sudusinghe
<span title="">2014</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/xpct34u67nf3hfcr6srggz4hau" style="color: black;">Advances in Computer Vision and Pattern Recognition</a> </i> &nbsp;
In this chapter, we discuss the state of the art and future challenges in adaptive stream mining systems for computer vision.  ...  Adaptive stream mining in this context involves the extraction of knowledge from image and video streams in real-time, and from sources that are possibly distributed and heterogeneous.  ...  Introduction In this chapter, we address challenges involving the development of algorithms, models, and design methods for distributed and adaptive real-time knowledge extraction of information from high  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-09387-1_12">doi:10.1007/978-3-319-09387-1_12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/am4bf2g7tjbd3h3vefpeaxvvum">fatcat:am4bf2g7tjbd3h3vefpeaxvvum</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190819094847/http://medianetlab.ee.ucla.edu:80/papers/bhat2014x2.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/0c/7d/0c7da1f0c86a6250ed956d9ec7092505e64da865.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-09387-1_12"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

FPGA Implementation of Blob Recognition

Jian Xiong, Thanh Minh Nguyen, Q.M. Jonathan Wu
<span title="">2011</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/o4jogpoqo5hlfpyg2izplwcaim" style="color: black;">2011 Canadian Conference on Computer and Robot Vision</a> </i> &nbsp;
and clock distribution, etc.) development.  ...  It offers a good optional solution for addressing the needs of high-performance logic designers, high-performance DSP designers, and highperformance embedded systems designers, with unprecedented logic  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/crv.2011.23">doi:10.1109/crv.2011.23</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/crv/XiongNW11.html">dblp:conf/crv/XiongNW11</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7ipzwy23vzck5agz3gm6rpuaha">fatcat:7ipzwy23vzck5agz3gm6rpuaha</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922003541/http://scholar.uwindsor.ca/cgi/viewcontent.cgi?article=1147&amp;context=etd" 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/10/69/1069e06dbb49c67123ba3594aad794cf17d66085.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/crv.2011.23"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Machine Learning at the Network Edge: A Survey [article]

M.G. Sarwar Murshed, Christopher Murphy, Daqing Hou, Nazar Khan, Ganesh Ananthanarayanan, Faraz Hussain
<span title="2021-05-23">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Deploying machine learning systems on such edge computing devices alleviates the above issues by allowing computations to be performed close to the data sources.  ...  A typical solution involves offloading data to external computing systems (such as cloud servers) for further processing but this worsens latency, leads to increased communication costs, and adds to privacy  ...  and Guo [111] Developed a distributed platform for mobile deep inference Teerapittayanon et al. [141] Mapped DNNs across distributed computing hierarchies for faster inference Mao et al. [96] MoDNN  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1908.00080v4">arXiv:1908.00080v4</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mw4lwwvzf5gupjr6pgdgnabeuu">fatcat:mw4lwwvzf5gupjr6pgdgnabeuu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210529043306/https://arxiv.org/pdf/1908.00080v4.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/c1/7c/c17c00c61f722c4603cf7d3dd582e023c55dfc67.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1908.00080v4" 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>

A Deeply Glimpse into Protein Fold Recognition

Marwa Mohammed M. Ghareeb, Ahmed Sharaf Eldin, Taysir Hassan A. Soliman, Mohammed Ebrahim Marie
<span title="2013-06-26">2013</span> <i title="Zenodo"> Zenodo </i> &nbsp;
The traditional computational methods are not powerful enough to address theses challenges.  ...  The rapid growth in genomic and proteomic data causes a lot of challenges that are raised up and need powerful solutions.  ...  They used High Performance Computing environment, SHARCNET (Shared Hierarchical Academic Research Computing Network) as computing platform for experiment.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.3348233">doi:10.5281/zenodo.3348233</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sui7cakaaraqdh2a6pifgzrdmm">fatcat:sui7cakaaraqdh2a6pifgzrdmm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201222212611/https://zenodo.org/record/3348234/files/V2-201306-02.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/30/be/30be0b7289c0718e4723d8cfd0bc400786151599.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.3348233"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> zenodo.org </button> </a>

A Novel Multimodal Biometrics Recognition Model Based on Stacked ELM and CCA Methods

Jucheng Yang, Wenhui Sun, Na Liu, Yarui Chen, Yuan Wang, Shujie Han
<span title="2018-04-04">2018</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nzoj5rayr5hutlurimhzyjlory" style="color: black;">Symmetry</a> </i> &nbsp;
To verify the validity and efficiency of the method, we adopt it for new hybrid datasets obtained from typical face image datasets and finger-vein image datasets.  ...  The model, which has a symmetric structure, is found to have high potential for multimodal biometrics. The model works as follows.  ...  Section 3 verifies the algorithm performance via several experiments and the subsequent analysis of the experimental results.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/sym10040096">doi:10.3390/sym10040096</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/peyzqnio75cl7ngg4lmlipm54e">fatcat:peyzqnio75cl7ngg4lmlipm54e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190223023418/http://pdfs.semanticscholar.org/47f3/743e7937f0d2267a36e8a338e7db42b13708.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/47/f3/47f3743e7937f0d2267a36e8a338e7db42b13708.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/sym10040096"> <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>

Editorial: Security and Privacy in Computing and Communications

Zheli Liu, Jin Li, Ilsun You, Siu-Ming Yiu
<span title="2020-11-11">2020</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s3esrazljvacznpncbsypxcxwy" style="color: black;">Journal on spesial topics in mobile networks and applications</a> </i> &nbsp;
propose a revocable group signatures scheme that is more efficient and scalable compared to previous ones, especially for Sign and Verify algorithms, which are performed much more frequently than others  ...  The special issue solicits contributions of novel methods to provide security and privacy in computing and communications for real-world application.  ...  In this method, they choose the string edit distance algorithm as underlying non-conformity measure for conformal evaluation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11036-020-01683-4">doi:10.1007/s11036-020-01683-4</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lf6rubtslbex5f2g2cku4ydy7i">fatcat:lf6rubtslbex5f2g2cku4ydy7i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210429103315/https://link.springer.com/content/pdf/10.1007/s11036-020-01683-4.pdf?error=cookies_not_supported&amp;code=1384b480-da77-4e91-b2e6-2f30a8f33215" 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/73/0e73897d6e5a666fb8b654e087a9026126b920c2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11036-020-01683-4"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Deep learning applications and challenges in big data analytics

Maryam M Najafabadi, Flavio Villanustre, Taghi M Khoshgoftaar, Naeem Seliya, Randall Wald, Edin Muharemagic
<span title="2015-02-24">2015</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pkhnkszyprhb3orbf6g7tqmgiu" style="color: black;">Journal of Big Data</a> </i> &nbsp;
data, scalability of models, and distributed computing.  ...  Deep Learning algorithms extract high-level, complex abstractions as data representations through a hierarchical learning process.  ...  Learning such invariant features is an ongoing major goal in pattern recognition (for example learning features that are invariant to the face orientation in a face recognition task).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s40537-014-0007-7">doi:10.1186/s40537-014-0007-7</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/65mi6dnv5rg6poesotupqbsm7y">fatcat:65mi6dnv5rg6poesotupqbsm7y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809153101/https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-014-0007-7?site=journalofbigdata.springeropen.com" 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/b6/a4/b6a40e6b1775c09348ed822c5300ef1cd58cfe71.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s40537-014-0007-7"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a>

An Immune Algorithm for Protein Structure Prediction on Lattice Models

Vincenzo Cutello, Giuseppe Nicosia, Mario Pavone, Jonathan Timmis
<span title="">2007</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dqtjwgdgmjazlimlppwouyrzcq" style="color: black;">IEEE Transactions on Evolutionary Computation</a> </i> &nbsp;
We present an immune algorithm (IA) inspired by the clonal selection principle, which has been designed for the protein structure prediction problem (PSP).  ...  Our experimental results demonstrate that the proposed IA is very competitive with the existing state-of-art algorithms for the PSP on lattice models.  ...  Nicosia would like to thank the Computing Laboratory, University of Kent, Canterbury, U.K., for their kind support.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tevc.2006.880328">doi:10.1109/tevc.2006.880328</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7rmi6yhzpngrdcn3hihyasowoe">fatcat:7rmi6yhzpngrdcn3hihyasowoe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170705101146/http://www.dmi.unict.it/~nicosia/papers/journals/Nicosia-IEEE-TEVC07.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/6a/73/6a73f8ca9c28fa85779d00aec9865f292a4cd0c7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tevc.2006.880328"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>
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