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A fast structured regression for large networks

Fang Zhou, Mohamed Ghalwash, Zoran Obradovic
<span title="">2016</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/faqqmambavbalpofpx3p6nntua" style="color: black;">2016 IEEE International Conference on Big Data (Big Data)</a> </i> &nbsp;
Structured regression has been successfully used in many applications where explanatory and response variables are inter-correlated, such as in weighted attributed networks.  ...  However, it does not scale well with large networks.  ...  For large networks, regression accuracy is usually similar for different sizes of reduced networks, but running time varies a lot (Table II) .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/bigdata.2016.7840594">doi:10.1109/bigdata.2016.7840594</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/bigdataconf/ZhouGO16.html">dblp:conf/bigdataconf/ZhouGO16</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kqie7a6edfbnfpduigm4arf7lq">fatcat:kqie7a6edfbnfpduigm4arf7lq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170501152951/http://www.dabi.temple.edu/~zoran/papers/BigD318.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/5c/30/5c3054e8fd0a60aca57f212570f5c1ea5a8a105a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/bigdata.2016.7840594"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Genome-Phenome Association Analysis of Complex Diseases a Structured Sparse Regression Approach [chapter]

Eric Xing
<span title="">2011</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;
A modern statistical method for approaching this problem is through model selection (or structure estimation) of Structured Input-Output Regression Models (SIORM) fitted on genetic and phenotypic variation  ...  Likewise, the outputs of such model are also structured, as patient cohorts are routinely surveyed for a large number of traits such as hundreds of clinical phenotypes and genome-wide profiling for thousands  ...  A modern statistical method for approaching this problem is through model selection (or structure estimation) of Structured Input-Output Regression Models (SIORM) fitted on genetic and phenotypic variation  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-21260-4_5">doi:10.1007/978-3-642-21260-4_5</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/acc2lm37hfb3bbvef37nzmxmv4">fatcat:acc2lm37hfb3bbvef37nzmxmv4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20181030111014/https://link.springer.com/content/pdf/10.1007%2F978-3-642-21260-4_5.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/58/54/58548ef34ddb388be9eb049609fc39042a609641.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-21260-4_5"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Light-Head R-CNN: In Defense of Two-Stage Object Detector [article]

Zeming Li, Chao Peng, Gang Yu, Xiangyu Zhang, Yangdong Deng, Jian Sun
<span title="2017-11-23">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Faster R-CNN involves two fully connected layers for RoI recognition, while R-FCN produces a large score maps.  ...  More importantly, simply replacing the backbone with a tiny network (e.g, Xception), our Light-Head R-CNN gets 30.7 mmAP at 102 FPS on COCO, significantly outperforming the single-stage, fast detectors  ...  Because of our light-head structure, our detector is able to strike the best tradeoff of speed and accuracy, not matter a large or small backbone network is used.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1711.07264v2">arXiv:1711.07264v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tnhsjyytiraapdkmghdsbiktsi">fatcat:tnhsjyytiraapdkmghdsbiktsi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200902091823/https://arxiv.org/pdf/1711.07264v2.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/39/5d/395d9bb77521590db9ac4aef4c2ae4ac5467a783.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1711.07264v2" 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>

Recovering Genetic Regulatory Networks from Micro-Array Data and Location Analysis Data

Fan Li, Yiming Yang
<span title="">2004</span> <i title="Japanese Society for Bioinformatics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jf2bmhtlzjh4zjrkh3rivxd2sq" style="color: black;">Genome Informatics Series</a> </i> &nbsp;
We further propose a new large scale structure learning algorithm based on Lasso regression.  ...  In this paper, we investigated the two popular large scale network structure learning algorithms, sparse candidate hill climbing (SCHC) and Grow-Shrinkage(GS) algorithm.  ...  a large scale network).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11234/gi1990.15.2_131">doi:10.11234/gi1990.15.2_131</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gpjhn4vo6bbybbbvbajgisuw2u">fatcat:gpjhn4vo6bbybbbvbajgisuw2u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220507195006/https://www.jstage.jst.go.jp/article/gi1990/15/2/15_2_131/_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/90/62/9062cd780d63aed6bacebb0d3a08f427aad81634.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11234/gi1990.15.2_131"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Research status of damage identification algorithm based on deep learning

Zhu Denghui, Song Lizhong, Feng yuan, Yang Quanshun, L. Zhang, S. Defilla, W. Chu
<span title="">2021</span> <i title="EDP Sciences"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wehsdgmkgvabfewguumql7pepe" style="color: black;">E3S Web of Conferences</a> </i> &nbsp;
In order to reduce or avoid network redundancy, people should optimize the network structure and design a more compact and portable model [38] .  ...  Fast In R-CNN, the full connection layer is replaced by convolutional neural network for classification and regression, which greatly reduces the parameters: at the same time, Dai et al.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1051/e3sconf/202123304039">doi:10.1051/e3sconf/202123304039</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/42tpij6qfrb7rfuxo25jnhqw4m">fatcat:42tpij6qfrb7rfuxo25jnhqw4m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210130185216/https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/09/e3sconf_iaecst20_04039.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/c1/9f/c19f8e13e60202c77796522befa1ef1042ff0a0d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1051/e3sconf/202123304039"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Research on the Tunnel Geological Radar Image Flaw Detection Based on CNN

He Li, Yubian Wang
<span title="">2020</span> <i title="Exeley, Inc."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hjmnofjq3fccnjljb7y47mrni4" style="color: black;">International Journal of Advanced Network, Monitoring, and Controls</a> </i> &nbsp;
Tunnel geological radar image has been widely used in tunnel engineering quality detection for its advantages of fast, nondestructive, continuous detection, real-time imaging, intuitive data processing  ...  In order to detect the quality of tunnel engineering accurately and quickly, an improved method of void defect detection based on Faster RCNN (Regional Convolutional Neural Network) is proposed in depth  ...  This traditional method has a large workload, a large human factor, and a certain rate of omission and error.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21307/ijanmc-2020-007">doi:10.21307/ijanmc-2020-007</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/eproq66obzc4zo75oqkvznauua">fatcat:eproq66obzc4zo75oqkvznauua</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200403015037/https://www.exeley.com/exeley/journals/international_journal_advanced_network_monitoring_controls/5/1/pdf/10.21307_ijanmc-2020-007.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/bf/a0/bfa0c29e4d62ccd1abca48bf16acaad4c8c67d2b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21307/ijanmc-2020-007"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Fast and accurate automated recognition of the dominant cells from fecal images based on Faster R-CNN

Jing Zhang, Xiangzhou Wang, Guangming Ni, Juanxiu Liu, Ruqian Hao, Lin Liu, Yong Liu, Xiaohui Du, Fan Xu
<span title="2021-05-14">2021</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tnqhc2x2aneavcd3gx5h7mswhm" style="color: black;">Scientific Reports</a> </i> &nbsp;
Additionally, a region proposal network and a network combined with principal component analysis are proposed for cell location and recognition in microscopic images.  ...  Here, we introduce a fast and efficient cell-detection algorithm based on the Faster-R-CNN technique: the Resnet-152 convolutional neural network architecture.  ...  Faster R-CNN 20 consists of three main parts: (1) a feature extraction layer, (2) a region proposal network (RPN), and (3) a classification and regression network; see Fig. 2 for a detailed model schematic  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/s41598-021-89863-4">doi:10.1038/s41598-021-89863-4</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33990662">pmid:33990662</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ptzrb4cnnfbh3czw3v4py6lozi">fatcat:ptzrb4cnnfbh3czw3v4py6lozi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210517221417/https://www.nature.com/articles/s41598-021-89863-4.pdf?error=cookies_not_supported&amp;code=511e0953-b977-4ba4-abe5-b13371a5e01f" 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/f3/5b/f35b15f38fb6c10568c6adf3908a5c0baa96633b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/s41598-021-89863-4"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Recovering genetic regulatory networks from micro-array data and location analysis data

Fan Li, Yiming Yang
<span title="">2004</span> <i title="Universal Academy Press Inc"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jf2bmhtlzjh4zjrkh3rivxd2sq" style="color: black;">Genome Informatics Series</a> </i> &nbsp;
We further propose a new large scale structure learning algorithm based on Lasso regression.  ...  In this paper, we investigated the two popular large scale network structure learning algorithms, sparse candidate hill climbing (SCHC) and Grow-Shrinkage(GS) algorithm.  ...  a large scale network).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/15706499">pmid:15706499</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gdcwzai33zhd3l6znc7shliw24">fatcat:gdcwzai33zhd3l6znc7shliw24</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170812011911/http://www.jsbi.org/pdfs/journal1/GIW04/GIW04F014.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/8f/8e/8f8e36783e8d0d474025bd2c1c7a72130b68f4a2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a>

Adaptive modularity maximization via edge weighting scheme

Xiaoyan Lu, Konstantin Kuzmin, Mingming Chen, Boleslaw K. Szymanski
<span title="">2018</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ozlq63ehnjeqxf6cuxxn27cqra" style="color: black;">Information Sciences</a> </i> &nbsp;
We construct artificial graphs based on the parameters sampled from a given unweighted network and train the regression model on ground truth communities of these artificial graphs in a supervised fashion  ...  We also present a novel regression model which assigns weights to the edges of a graph according to their local topological features to enhance the accuracy of modularity maximization algorithms.  ...  Thus, high modularity indicates the existence of a community structure in the network.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ins.2017.09.063">doi:10.1016/j.ins.2017.09.063</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/x4bdhl6vefglpc54jdskgzf35q">fatcat:x4bdhl6vefglpc54jdskgzf35q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191014050529/https://arxiv.org/pdf/1705.04863v1.pdf" title="fulltext PDF download [not primary version]" 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] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/2d/ed/2ded6defbfc52850028b5c3b8ccd8562cb3b9fab.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ins.2017.09.063"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Spine Landmark Localization with combining of Heatmap Regression and Direct Coordinate Regression [article]

Wanhong Huang, Chunxi Yang, TianHong Hou
<span title="2020-07-10">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
to regress landmark coordination, one using the full convolutional network to regress the heatmaps of landmarks , which is a complex way and heatmap post-process strategies are needed, and the other way  ...  In addition, a deeper networks also means larger space consumption.  ...  However, it can achieve a relatively high accuracy with training in a small dataset. On the contrary, CNN + FC need more large dataset and deeper network for it to reach a high accuracy.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2007.05355v1">arXiv:2007.05355v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cxx2toqklvgdlfc5kq47itguye">fatcat:cxx2toqklvgdlfc5kq47itguye</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200720104558/https://arxiv.org/ftp/arxiv/papers/2007/2007.05355.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/98/5a/985a3731f0605c6dba250ede3645a2dea0797e96.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2007.05355v1" 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>

Tensor Dropout for Robust Learning [article]

Arinbjörn Kolbeinsson, Jean Kossaifi, Yannis Panagakis, Adrian Bulat, Anima Anandkumar, Ioanna Tzoulaki, Paul Matthews
<span title="2020-12-11">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Specifically, we impose low-rank tensor structures on the weights of tensor regression layers to obtain compact networks, and propose tensor dropout, a randomization in the tensor rank for robustness.  ...  We establish a new state-of-the-art accuracy for phenotypic trait prediction on the largest dataset of brain MRI, the UK Biobank brain MRI dataset, where multi-linear structure is paramount.  ...  For instance, for an N th -order regression weight with a Tucker structure, we can define for each k ∈ [0 . .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1902.10758v4">arXiv:1902.10758v4</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hq2i5u56lncmzni5wvupajv7ke">fatcat:hq2i5u56lncmzni5wvupajv7ke</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201215054521/https://arxiv.org/pdf/1902.10758v4.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/95/2b/952be0f7a2fc424a7a34f232cf0a0f5f3003b599.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1902.10758v4" 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 MultiPath Network for Object Detection [article]

Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro O. Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár
<span title="2016-08-08">2016</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We refer to our modified classifier as a "MultiPath" network.  ...  To address these challenges, we test three modifications to the standard Fast R-CNN object detector: (1) skip connections that give the detector access to features at multiple network layers, (2) a foveal  ...  Acknowledgements: We would like to thank Ross Girshick, Rob Fergus, Bharath Hariharan, Spyros Gidaris, Nikos Komodakis, and Francisco Massa for helpful discussion and suggestions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1604.02135v2">arXiv:1604.02135v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/567a3x54nbb2zpesp6jv6kv6ie">fatcat:567a3x54nbb2zpesp6jv6kv6ie</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191026032352/https://arxiv.org/pdf/1604.02135v2.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/bb/cf/bbcfa0f066c07e4cba80ec8445dd8b1c43b35aba.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1604.02135v2" 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>

Comparison of neural networks and regression-based methods for temperature retrievals

Howard E. Motteler, L. Larrabee Strow, Larry McMillin, J. Anthony Gualtieri
<span title="1995-08-20">1995</span> <i title="The Optical Society"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6tkekdr3c5buzcp4zxrwpcfozy" style="color: black;">Applied Optics</a> </i> &nbsp;
Neural networks are compared to a well-known linear method in which regression is performed after a change of bases.  ...  With large channel sets, both methods can rapidly perform clear-air retrievals over a variety of climactic conditions with an overall RMS error of less than 1K.  ...  Halem, for serving as the NRC Research Advisor, for many helpful discussions, and for providing access to NASA/GSFC facilities. We would also like to thank A.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1364/ao.34.005390">doi:10.1364/ao.34.005390</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/21060360">pmid:21060360</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/oofyebtbvvb73c4ehomyqdjrei">fatcat:oofyebtbvvb73c4ehomyqdjrei</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190307122030/http://pdfs.semanticscholar.org/e057/4dda27a7e4febcb0c68fc1adb6ef2a1ffb71.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/e0/57/e0574dda27a7e4febcb0c68fc1adb6ef2a1ffb71.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1364/ao.34.005390"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Faster R-CNN based Traffic Sign Detection and Classification

Monira Islam, Md. Salah Udddin Yusuf
<span title="2022-02-10">2022</span> <i title="World Scientific and Engineering Academy and Society (WSEAS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7osxwy6ouvatlgw5tk62lcekpm" style="color: black;">WSEAS Transactions on Signal Processing</a> </i> &nbsp;
For traffic sign detection a two-stage detector, Faster R-CNN with ResNet 50 backbone structure is used where the CNN layers extracted the features of traffic signs from the images and the region proposal  ...  Traffic sign is the key aspect in road and also for the autonomous car. Detection and classification of these sign plays a vital role for the invention of driverless vehicles.  ...  After RPN training, the ROI pools features from the proposals for training Fast R-CNN model with a classification head and a regression head.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.37394/232014.2022.18.1">doi:10.37394/232014.2022.18.1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/shlxcbhfrreenorlpyt3eigv5u">fatcat:shlxcbhfrreenorlpyt3eigv5u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220422194846/https://wseas.com/journals/sp/2022/a025114-712.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/e5/37e5c0c8ea04176c81288e2d6486cc04df5a72c6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.37394/232014.2022.18.1"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Comprehensive model for software fault prediction

Pradeep Singh
<span title="">2017</span> <i title="IEEE"> 2017 International Conference on Inventive Computing and Informatics (ICICI) </i> &nbsp;
In Software engineering, there are a plenty of prediction approaches used for several purposes like fault prediction, security prediction, effort prediction, correction cost prediction, reusability prediction  ...  The various techniques like linear regression, logistic regression, negative binomial regression, fuzzy subtractive clustering, radial basis function (RBF) network, multilayer perceptron, support vector  ...  Models are developed using linear regression and based on the data from one release of a large telecommunication system developed by Ericsson.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icici.2017.8365311">doi:10.1109/icici.2017.8365311</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ljjfetlomrf5dghnneqxoaicaa">fatcat:ljjfetlomrf5dghnneqxoaicaa</a> </span>
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