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Tracking Pointer and Look Ahead Matching Strategy to Evaluate Iceberg Driven Query

Kale Sarika Prakash, P.M. Joe Prathap
<span title="2017-03-01">2017</span> <i title="Science Publications"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wake4w3hqzd4ndiy2zowpciv64" style="color: black;">Journal of Computer Science</a> </i> &nbsp;
It works on aggregation function followed by GROUP BY and HAVING clause. Due to involvement of aggregation function execution of iceberg driven query becomes tedious and complex work.  ...  Look ahead matching strategy help to identify probable vector instead of generating one by one till the end of vector list. This strategy decides the probability of bitmap vector to be executed.  ...  Contributed in design, implementation and testing of framework. P.M. Joe Prathap: Contributed in preparation, organization and supervision of complete paper.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3844/jcssp.2017.55.67">doi:10.3844/jcssp.2017.55.67</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wrhmla7zxbhhpehvg62r5jruvy">fatcat:wrhmla7zxbhhpehvg62r5jruvy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180719082312/http://thescipub.com/pdf/10.3844/jcssp.2017.55.67" 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/a5/66/a56699eaee78e28b7ffa435e63656b295daf559d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3844/jcssp.2017.55.67"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Evaluating Aggregate Functions of Iceberg Query Using Priority Based Bitmap Indexing Strategy

Sarika Prakash Kale, P.M. Joe Prathap
<span title="2017-12-01">2017</span> <i title="Institute of Advanced Engineering and Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sdt65w3c4jeojd2d4wr6rbkebe" style="color: black;">International Journal of Electrical and Computer Engineering (IJECE)</a> </i> &nbsp;
Normally, the nature of the queries to be executed on data warehouse are the queries with aggregate function followed by having clause, these type of queries are known as iceberg query.  ...  Priority based approach consider bitmap vector to be executed as per the priority.Intermediate results are evaluated to find probability of result.Fruitless operations are identified and skipped in advance  ...  . 375167 Combine Time Analysis of SUM function Combine Iteration Analysis of SUM function Evaluating Aggregate Functions of Iceberg Query Using Priority Based Bitmap ....  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11591/ijece.v7i6.pp3745-3752">doi:10.11591/ijece.v7i6.pp3745-3752</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tnknjmvlfjdpfgbnkec3brpqpa">fatcat:tnknjmvlfjdpfgbnkec3brpqpa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721132520/http://www.iaescore.com/journals/index.php/IJECE/article/download/8745/7429" 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/fd/ab/fdabd0e493f15ab87580a4f8a8104e4fdc47b672.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11591/ijece.v7i6.pp3745-3752"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Harmonic analysis of neural networks

J. Bruck
<span title="">1989</span> <i title="IEEE"> Twenty-Third Asilomar Conference on Signals, Systems and Computers, 1989. </i> &nbsp;
The key idea in harmonic analysis of threshold functions is to represent the functions as polynomials over the field of real nnmbers.  ...  Also, we describe applications of harmonic analysis for proving that a given function is not linear threshold and for getting upper bounds on the number of polynomial threshold functions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/acssc.1989.1200767">doi:10.1109/acssc.1989.1200767</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/uocqw3a6efgb7ayevyw4r65bty">fatcat:uocqw3a6efgb7ayevyw4r65bty</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180722003138/https://authors.library.caltech.edu/31627/1/BRUasilo89.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/15/68/1568f73611b0a7e0f29454635a63ed7a47b7800b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/acssc.1989.1200767"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Classification of small lesions in dynamic breast MRI: eliminating the need for precise lesion segmentation through spatio-temporal analysis of contrast enhancement

Mahesh B. Nagarajan, Markus B. Huber, Thomas Schlossbauer, Gerda Leinsinger, Andrzej Krol, Axel Wismüller
<span title="2012-10-16">2012</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/lvjqpr55r5fcfpfbeu7qp2jwgm" style="color: black;">Machine Vision and Applications</a> </i> &nbsp;
For each Minkowski Functional, topological features extracted from each post-contrast image of the lesions were combined into a high-dimensional texture feature vector.  ...  However, both Minkowski Functionals and thresholded GLCM achieved such results without lesion segmentation while the performance of GLCM features significantly deteriorated when lesions were not segmented  ...  Maximilian Reiser, FACR, FRCR of the Department of Radiology, Ludwig Max-imilians University, for his continued support.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s00138-012-0456-y">doi:10.1007/s00138-012-0456-y</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/24244074">pmid:24244074</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3826664/">pmcid:PMC3826664</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wxmzy4mlrnf4dmydjxiuirqdxi">fatcat:wxmzy4mlrnf4dmydjxiuirqdxi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191021101035/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC3826664&amp;blobtype=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/cc/67/cc67473a91879dba4cfe9a1931bd5c030b4a39be.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s00138-012-0456-y"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3826664" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Application of signal and noise theory to digital VLSI testing

Nitin Yogi, Vishwani D. Agrawal
<span title="">2010</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/biljrku4ijdexbgr7opunzp32e" style="color: black;">2010 28th VLSI Test Symposium (VTS)</a> </i> &nbsp;
Circuit dependent vectors like functional verification vectors, RTL test vectors, or gate-level ATPG vectors contain circuit specific information in the form of spatial correlations (among bits of a vector  ...  In this paper, we develop a functional analysis framework for digital signals which extracts this information content from the vectors under consideration.  ...  Noise Power Level The use of spectral analysis in testing of digital circuits, is based on the premise that circuit specific good quality test vectors (like functional verification vectors, RTL test vectors  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/vts.2010.5469572">doi:10.1109/vts.2010.5469572</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/vts/YogiA10.html">dblp:conf/vts/YogiA10</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/n2orpapyqze4nbjziy7qbzjvp4">fatcat:n2orpapyqze4nbjziy7qbzjvp4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809020021/http://www.eng.auburn.edu/~vagrawal/TALKS/VTS10/VTS10_Yogi_Agrawal.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/11/14/111422f93c353da9e022b4c076e44cf2dd1679d8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/vts.2010.5469572"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Prediction and Simulation Spatio-Temporal Support Vector Regression for Nonlinear Data

Khalilur Rahman, Margaretha Ari Anggorowati, Agung Andiojaya
<span title="2020-06-20">2020</span> <i title="School of Computing, Telkom University"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gpfjq67sijhqnkocz52prshibi" style="color: black;">International Journal on Information and Communication Technology (IJoICT)</a> </i> &nbsp;
<p>Spatio-temporal model forecasting method is a forecasting model that combines forecasting with a function of time and space.  ...  Using the ability of method Support Vector Regression in dealing with data that is mostly patterned non-linear premises n adding a spatial element in the model of forecasting in the form of a model forecasting  ...  Finally, with all of our respect, we hope this research can give the real impact in the real world.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21108/ijoict.2020.61.477">doi:10.21108/ijoict.2020.61.477</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/el2womeuyrbalo3y7xvcxrwyye">fatcat:el2womeuyrbalo3y7xvcxrwyye</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200621023958/http://socj.telkomuniversity.ac.id/ojs/index.php/ijoict/article/download/477/188" 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/d2/da/d2da22ae96f8cd891483f9c985fa7560eeeeb301.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21108/ijoict.2020.61.477"> <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>

Hyperplane-Based Vector Quantization for Distributed Estimation in Wireless Sensor Networks

Jun Fang, Hongbin Li
<span title="">2009</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/niovmjummbcwdg4qshgzykkpfu" style="color: black;">IEEE Transactions on Information Theory</a> </i> &nbsp;
Under the framework of the Cramér-Rao bound (CRB) analysis, the compression vector design problem is formulated as an optimization problem that minimizes the trace of the CRB matrix.  ...  Performance analysis and simulation results are carried out to illustrate the effectiveness of the proposed scheme.  ...  Our CRB analysis shows that the estimation performance is dependent on the quantization thresholds as well as the compression vectors.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tit.2009.2032856">doi:10.1109/tit.2009.2032856</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6dnpaa2mnzelpgaoti3sgmd25i">fatcat:6dnpaa2mnzelpgaoti3sgmd25i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20100803214051/http://koala.ece.stevens-tech.edu/%7ehli/mypapers/FangLi09b.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/1b/74/1b7450691bbc6279e1e15aa8704f1a34bd4f6f73.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tit.2009.2032856"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Generating High-Order Threshold Functions with Multiple Thresholds [article]

Yukihiro Kamada, Kiyonori Miyasaki
<span title="2013-01-01">2013</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We begin by proposing a generating method for threshold functions in which we use a vector that determines the boundary between the linearly separable function and the high-order threshold function.  ...  We also show that the order of the entire network can be extended while maintaining the structure of given functions.  ...  By Eq. (4), if f 2 (obtained by replacement of the function value of g in relation to input vector Y ) is a threshold function, then Y is a high-order vector of g.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1301.0048v1">arXiv:1301.0048v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gqytbfyzdbdtzdhc5je3no2qcy">fatcat:gqytbfyzdbdtzdhc5je3no2qcy</a> </span>
<a target="_blank" rel="noopener" href="https://archive.org/download/arxiv-1301.0048/1301.0048.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> File Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1301.0048v1" 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>

Research on Support Vector Machine in Image Denoising

Xinfeng Guo, Chunyan Meng
<span title="2015-02-28">2015</span> <i title="Science and Engineering Research Support Society"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ym6wyoim55h6lliru6w4ssplki" style="color: black;">International Journal of Signal Processing, Image Processing and Pattern Recognition</a> </i> &nbsp;
vector of support vector machine, based on training of support vector machine, the support vector machine model is used to distinguish between noise and the original image, to achieve the effect of denoising  ...  In this paper, a denoising algorithm and simulation experiments of algorithm based on wavelet transform and support vector machine (SVM) image is proposed, a new method is adopted in the selection of characteristic  ...  Common statistical methods include regression analysis, cluster analysis, exploratory analysis and discriminate analysis Support vector machine (SVM) is based on VC dimension theory and structural risk  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14257/ijsip.2015.8.2.03">doi:10.14257/ijsip.2015.8.2.03</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pf26iz6cgrhrtmxsyrvdbi4fji">fatcat:pf26iz6cgrhrtmxsyrvdbi4fji</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180603224637/http://www.sersc.org/journals/IJSIP/vol8_no2/3.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/3c/6a/3c6a1269bac63a3597a6ff17f3f8a51fa4f3237f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14257/ijsip.2015.8.2.03"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Stochastic Simulation Based Reliability Analysis with Multiple Performance Objective Functions [chapter]

Sahil Bansal, Sai Hung Cheung
<span title="2014-12-13">2014</span> <i title="Springer India"> Advances in Structural Engineering </i> &nbsp;
In this paper, we propose a stochastic simulation approach to estimate the failure probability of multiple performance objectives as a function of various combinations of thresholds, each threshold corresponding  ...  The proposed approach is robust with respect to the dimension of the failure probability integral, model complexity and nonlinearity.  ...  The failure probability as a function of threshold vector C can F is an indicator function which is equal to 1 in case of failure and 0 otherwise.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-81-322-2187-6_194">doi:10.1007/978-81-322-2187-6_194</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/n3fpksfsjzgtxeogj6n3mpamn4">fatcat:n3fpksfsjzgtxeogj6n3mpamn4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170921221213/https://dr.ntu.edu.sg/bitstream/handle/10220/25555/ISRERM2014_2.pdf?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/b4/e5/b4e58d3ecefaf6b870dd2a7f033bd48eaea52cd5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-81-322-2187-6_194"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

On the detection of step edges in algorithms based on gradient vector analysis [chapter]

A. Larré, E. Montseny
<span title="">1995</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;
For finding this minimum, all the study has been based on the analysis of the gradient vector, because this kind of algorithms are those which obtain best results.  ...  It can be concluded that: a) The analysis of the gradient vector argument is more robust than the module; b) A contour must have a signal-to-noise ratio greater than 4/5 in order to be detected, if small  ...  The most important value of these functions is the maximum and their thresholds.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/3-540-60298-4_290">doi:10.1007/3-540-60298-4_290</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rwdyjg426ncr5oc7ritzprid3q">fatcat:rwdyjg426ncr5oc7ritzprid3q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190503023419/https://link.springer.com/content/pdf/10.1007%2F3-540-60298-4_290.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/b8/c7/b8c78f1f039e3987bdae5da824002300e92e64ec.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/3-540-60298-4_290"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Robust Speech Hash Function

Ning Chen
<span title="2010-04-07">2010</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sfkftjpfyneypmldn7no2ilfpm" style="color: black;">ETRI Journal</a> </i> &nbsp;
First, linear prediction analysis is applied to the speech to obtain its LPCs, which represent the frequency shaping attributes of the vocal tract.  ...  Experimental results demonstrate the effectiveness of the proposed hash function in terms of discrimination and robustness against various types of content preserving signal processing manipulations.  ...  Discrimination For each speech clip, the distance of its hash vector and the hash vector of each of the remaining 999 speech clips was The FAR (calculated by (7) ) varying with the threshold is shown  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4218/etrij.10.0209.0309">doi:10.4218/etrij.10.0209.0309</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zoamgwpwrngzvm3z7srqbu7rmy">fatcat:zoamgwpwrngzvm3z7srqbu7rmy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170819032710/http://ocean.kisti.re.kr/downfile/volume/etri/HJTODO/2010/v32n2/HJTODO_2010_v32n2_345.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/83/5e/835e215d366402dd2ac6404390a71b95c1925773.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4218/etrij.10.0209.0309"> <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>

Achieving High Accuracy Prediction of Minimotifs

Tian Mi, Sanguthevar Rajasekaran, Jerlin Camilus Merlin, Michael Gryk, Martin R. Schiller, Narayanaswamy Srinivasan
<span title="2012-09-27">2012</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 low complexity of minimotif patterns results in a high false-positive prediction rate, hampering protein function prediction.  ...  A multi-filter algorithm, trained and tested on a linear regression model, support vector machine model, and neural network model, using a large dataset of verified minimotifs, vastly improves minimotif  ...  For example, one function may be a subclass of another function, or one function may regulate another function.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0045589">doi:10.1371/journal.pone.0045589</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/23029121">pmid:23029121</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3459956/">pmcid:PMC3459956</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cvf3iio2anhsvoi4aq3gghdpfu">fatcat:cvf3iio2anhsvoi4aq3gghdpfu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20151003183208/http://digitalcommons.uconn.edu/cgi/viewcontent.cgi?article=1128&amp;context=uchcres_articles" 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/21/7e216f536060454e04b18e5b4b0ba29eed5f27a1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0045589"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> plos.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3459956" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Neonatal events recognition using LBP descriptor and wavelet thresholding technique

Adnan Al Alwani, Youssef Chahir
<span title="">2014</span> <i title="IEEE"> 2014 International Conference on Multimedia Computing and Systems (ICMCS) </i> &nbsp;
A video analysis component contains features descriptor using histogram of Local Binary Pattern LBP in the first experiment, and applying wavelet thresholding technique on approximation wave coefficients  ...  The proposed approach is composed of a thermal video analysis component and an activity recognition component.  ...  ACKNOWLEDGEMENTS The authors wish to thank ANR Preterm, for providing datasets of neonatal conditions monitoring of daily care.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icmcs.2014.6911171">doi:10.1109/icmcs.2014.6911171</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lh25nt7sdnhfndbdqyc4a5npvq">fatcat:lh25nt7sdnhfndbdqyc4a5npvq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190501020628/https://hal.archives-ouvertes.fr/hal-01168444/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/35/f0/35f06eb03861170e13d74337a2450c38e87bd15f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icmcs.2014.6911171"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

A Defect-Inspection System Constructed by Applying Autoencoder with Clustered Latent Vectors and Multi-Thresholding Classification

Cheng-Chang Lien, Yu-De Chiu
<span title="2022-02-11">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
Fourth, the multi-thresholding image segmentation method is applied to improve the classification accuracy of normal and defect images.  ...  First, we compare the effects of SSIM (Structural Similarity Index Measure) and MSE (Mean Square Error) functions on the reconstruction error.  ...  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/app12041883">doi:10.3390/app12041883</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/obhssaun7nhfpcsbkcqlzppk3m">fatcat:obhssaun7nhfpcsbkcqlzppk3m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220501105320/https://mdpi-res.com/d_attachment/applsci/applsci-12-01883/article_deploy/applsci-12-01883-v3.pdf?version=1645153444" 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/f3/0d/f30d5a0c8e92c058633383aa842c4d4093d22be4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app12041883"> <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>
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