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Articles de revues sur le sujet « Joint clustering with alignment »

Auteur : Grafiati

Publié le 20 avril 2024

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1

Deng, Wanxia, Qing Liao, Lingjun Zhao, et al. "Joint Clustering and Discriminative Feature Alignment for Unsupervised Domain Adaptation." IEEE Transactions on Image Processing 30 (2021): 7842–55. http://dx.doi.org/10.1109/tip.2021.3109530.

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Samuroff, S., J. Blazek, M. A. Troxel, et al. "Dark Energy Survey Year 1 results: constraints on intrinsic alignments and their colour dependence from galaxy clustering and weak lensing." Monthly Notices of the Royal Astronomical Society 489, no. 4 (2019): 5453–82. http://dx.doi.org/10.1093/mnras/stz2197.

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Abstract We perform a joint analysis of intrinsic alignments and cosmology using tomographic weak lensing, galaxy clustering, and galaxy–galaxy lensing measurements from Year 1 (Y1) of the Dark Energy Survey. We define early- and late-type subsamples, which are found to pass a series of systematics tests, including for spurious photometric redshift error and point spread function correlations. We analyse these split data alongside the fiducial mixed Y1 sample using a range of intrinsic alignment models. In a fiducial non-linear alignment model analysis, assuming a flat Λ cold dark matter cosmo

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Murillo-Vizuete, David, Raul Garcia-Bogalo, David Escobar-Anton, Lissette Horna-Castiñeiras, Juan Peralta-Molero, and Ricardo Larrainzar-Garijo. "Dynamic Alignment Analysis in the Osteoarthritic Knee Using Computer Navigation." Journal of Knee Surgery 30, no. 09 (2017): 909–15. http://dx.doi.org/10.1055/s-0037-1598037.

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AbstractThe lower limb alignment is influenced by the geometry of the joint surfaces and surrounding soft tissue tension. The mechanical behavior changes in a normal, osteoarthritic, and postoperative knee. The purpose of this study is to determine the dynamic coronal femoral tibial mechanical angle (FTMA) in osteoarthritic knees using computer navigation. The authors hypothesize that there are different varus-valgus patterns between flexion and extension in the osteoarthritic knee. We conducted a transversal observational study and included patients with osteoarthritis who underwent primary n

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Yu, Jixiang, Nanjun Chen, Ming Gao, Xiangtao Li, and Ka-Chun Wong. "Unsupervised Gene-Cell Collective Representation Learning with Optimal Transport." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 1 (2024): 356–64. http://dx.doi.org/10.1609/aaai.v38i1.27789.

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Cell type identification plays a vital role in single-cell RNA sequencing (scRNA-seq) data analysis. Although many deep embedded methods to cluster scRNA-seq data have been proposed, they still fail in elucidating the intrinsic properties of cells and genes. Here, we present a novel end-to-end deep graph clustering model for single-cell transcriptomics data based on unsupervised Gene-Cell Collective representation learning and Optimal Transport (scGCOT) which integrates both cell and gene correlations. Specifically, scGCOT learns the latent embedding of cells and genes simultaneously and recon

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El-Melegy, Moumen, Rasha Kamel, Mohamed Abou El-Ghar, Nora S. Alghamdi, and Ayman El-Baz. "Variational Approach for Joint Kidney Segmentation and Registration from DCE-MRI Using Fuzzy Clustering with Shape Priors." Biomedicines 11, no. 1 (2022): 6. http://dx.doi.org/10.3390/biomedicines11010006.

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The dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) technique has great potential in the diagnosis, therapy, and follow-up of patients with chronic kidney disease (CKD). Towards that end, precise kidney segmentation from DCE-MRI data becomes a prerequisite processing step. Exploiting the useful information about the kidney’s shape in this step mandates a registration operation beforehand to relate the shape model coordinates to those of the image to be segmented. Imprecise alignment of the shape model induces errors in the segmentation results. In this paper, we propose a new va

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Huang, Weinan, Xiaowen Zhu, Haofeng Xia, and Kejian Wu. "Offshore Wind Energy Assessment with a Clustering Approach to Mixture Model Parameter Estimation." Journal of Marine Science and Engineering 11, no. 11 (2023): 2060. http://dx.doi.org/10.3390/jmse11112060.

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In wind resource assessment research, mixture models are gaining importance due to the complex characteristics of wind data. The precision of parameter estimations for these models is paramount, as it directly affects the reliability of wind energy forecasts. Traditionally, the expectation–maximization (EM) algorithm has served as a primary tool for such estimations. However, challenges are often encountered with this method when handling complex probability distributions. Given these limitations, the objective of this study is to propose a new clustering algorithm, designed to transform mixtu

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Eifler, Tim, Melanie Simet, Elisabeth Krause, et al. "Cosmology with the Roman Space Telescope: synergies with the Rubin Observatory Legacy Survey of Space and Time." Monthly Notices of the Royal Astronomical Society 507, no. 1 (2021): 1514–27. http://dx.doi.org/10.1093/mnras/stab533.

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ABSTRACT We explore synergies between the Nancy Grace Roman Space Telescope and the Vera Rubin Observatory’s Legacy Survey of Space and Time (LSST). Specifically, we consider scenarios where the currently envisioned survey strategy for the Roman Space Telescope’s High Latitude Survey (HLS reference), i.e. 2000 deg2 in four narrow photometric bands is altered in favour of a strategy of rapid coverage of the LSST area (to full LSST depth) in one band. We find that in only five months, a survey in the W-band can cover the full LSST survey area providing high-resolution imaging for &gt;95 per

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Miao, Xia, Ziyao Yu, and Ming Liu. "Using Partial Differential Equation Face Recognition Model to Evaluate Students’ Attention in a College Chinese Classroom." Advances in Mathematical Physics 2021 (October 11, 2021): 1–10. http://dx.doi.org/10.1155/2021/3950445.

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The partial differential equation learning model is applied to another high-level visual-processing problem: face recognition. A novel feature selection method based on partial differential equation learning model is proposed. The extracted features are invariant to rotation and translation and more robust to illumination changes. In the evaluation of students’ concentration in class, this paper firstly uses the face detection algorithm in face recognition technology to detect the face and intercept the expression data, and calculates the rise rate. Then, the improved model of concentration an

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Nau, T., S. Cutts, and N. Naidoo. "DNA METHYLATION AND ITS INFLUENCE ON THE PATHOGENESIS OF OSTEOARTHRITIS: A SYSTEMATIC LITERATURE REVIEW." Orthopaedic Proceedings 105-B, SUPP_8 (2023): 127. http://dx.doi.org/10.1302/1358-992x.2023.8.127.

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There is an evolving body of evidence that demonstrates the role of epigenetic mechanisms, such as DNA-methylation in the pathogenesis of OA. This systematic review aims to summarize the current evidence of DNA methylation and its influence on the pathogenesis of OA.A pre-defined protocol in alignment with the PRISMA guidelines was employed to systematically review eight bibliographic databases, to identify associations between DNA-methylation of articular chondrocytes and osteoarthritis. A search of Medline (Ovid), Embase, Web-of-Science, Scopus, PubMed, Cinahl (EBSCOhost), Cochrane Central a

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Sangalli, Laura M., Piercesare Secchi, Simone Vantini, and Valeria Vitelli. "-mean alignment for curve clustering." Computational Statistics & Data Analysis 54, no. 5 (2010): 1219–33. http://dx.doi.org/10.1016/j.csda.2009.12.008.

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Bigvand, Anahita Mansouri, Te Bu, and Anoop Sarkar. "Joint Prediction of Word Alignment with Alignment Types." Transactions of the Association for Computational Linguistics 5 (December 2017): 501–14. http://dx.doi.org/10.1162/tacl_a_00076.

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Current word alignment models do not distinguish between different types of alignment links. In this paper, we provide a new probabilistic model for word alignment where word alignments are associated with linguistically motivated alignment types. We propose a novel task of joint prediction of word alignment and alignment types and propose novel semi-supervised learning algorithms for this task. We also solve a sub-task of predicting the alignment type given an aligned word pair. In our experimental results, the generative models we introduce to model alignment types significantly outperform t

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Corpet, F. "Multiple sequence alignment with hierarchical clustering." Nucleic Acids Research 16, no. 22 (1988): 10881–90. http://dx.doi.org/10.1093/nar/16.22.10881.

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Feng, Zijin, Miao Qiao, and Hong Cheng. "Modularity-based Hypergraph Clustering: Random Hypergraph Model, Hyperedge-cluster Relation, and Computation." Proceedings of the ACM on Management of Data 1, no. 3 (2023): 1–25. http://dx.doi.org/10.1145/3617335.

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A graph models the connections among objects. One important graph analytical task is clustering which partitions a data graph into clusters with dense innercluster connections. A line of clustering maximizes a function called modularity. Modularity-based clustering is widely adopted on dyadic graphs due to its scalability and clustering quality which depends highly on its selection of a random graph model. The random graph model decides not only which clustering is preferred - modularity measures the quality of a clustering based on its alignment to the edges of a random graph, but also the co

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Zhang, Gang, Lijia Pan, Jiansheng Chen, Yanmin Gong, and Fuyuan Liu. "Joint Alignment of Image Faces." IEEE Access 8 (2020): 114884–91. http://dx.doi.org/10.1109/access.2020.3003332.

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Yoshimoto, Kensei, Masahiko Noguchi, Akifumi Yamada, and Yuki Nasu. "Compensatory Function of the Subtalar Joint for Lower Extremity Malalignment." Advances in Orthopedics 2019 (February 24, 2019): 1–8. http://dx.doi.org/10.1155/2019/7656878.

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It is important to evaluate the subtalar joint and hip-knee-ankle alignment to understand lower extremity alignment. In this review, we focused on the compensatory changes in the subtalar joint alignment for the deformity of the knee and ankle joint, reviewing previous research. The subtalar joint alignment was compensatory valgus in patients with varus knee and ankle deformity, whereas it was uncertain whether the subtalar joint alignment was compensatory varus in patients with valgus knee and ankle deformity. The subtalar joint valgus alignment improved after total knee arthroplasty or high

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Niu, Jianwei, Zhizhong Li, and Gavriel Salvendy. "Alignment Influence on 3D Anthropometric Data Clustering." Ergonomics Open Journal 1, no. 1 (2008): 62–66. http://dx.doi.org/10.2174/1875934300801010062.

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Zemla, A., B. Geisbrecht, J. Smith, et al. "STRALCP structure alignment-based clustering of proteins." Nucleic Acids Research 35, no. 22 (2007): e150-e150. http://dx.doi.org/10.1093/nar/gkm1049.

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Traynor, Christopher, and James Jastifer. "First-Tarsometatarsal Joint Alignment After First-Metatarsophalangeal Joint Arthrodesis for Hallux Valgus." Foot & Ankle Orthopaedics 6, no. 2 (2021): 247301142110085. http://dx.doi.org/10.1177/24730114211008514.

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Background: Instability of the first-tarsometatarsal (TMT) joint has been proposed as a cause of hallux valgus. Although there is literature demonstrating how first-TMT arthrodesis affects hallux valgus, there is little published on how correction of hallux valgus affects the first-TMT joint alignment. The purpose of this study was to determine if correction of hallux valgus impacts the first-TMT alignment and congruency. Improvement in alignment would provide evidence that hallux valgus contributes to first-TMT instability. Our hypothesis was that correcting hallux valgus angle (HVA) would ha

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Rahman, Faiz Aulia, Utriweni Mukhaiyar, and Sparisoma Virdi. "Analysis of Boid Algorithm Weights using Alignment Clustering Index." BIO Web of Conferences 92 (2024): 01016. http://dx.doi.org/10.1051/bioconf/20249201016.

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Fish that engage in a school often exhibit unique patterns. Schooling behaviour itself has multiple benefits, among them increasing their likelihood of obtaining food and reducing the risk of predator threats. One of the methods used to simulate this behaviour is boid, proposed by Reynolds. There are three main rules that govern how each boid moves in a group: cohesion, alignment, and separation. Each rule is controlled by a weight parameter that could be changed to encourage or discourage certain rules. This study is aimed at analysing the boid weight parameters, specifically cohesion and ali

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Krähenbühl, Nicola, Lukas Zwicky, Manja Deforth, Beat Hintermann, and Markus Knupp. "Subtalar Joint Alignment in Ankle Osteoarthritis." Foot & Ankle Orthopaedics 2, no. 3 (2017): 2473011417S0002. http://dx.doi.org/10.1177/2473011417s000249.

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Category: Ankle Arthritis, Hindfoot Introduction/Purpose: The influence of the subtalar joint on the evolution of ankle joint osteoarthritis is still a matter of debate. Although subtalar joint compensation of deformities above the ankle joint was proposed until mid-stage of ankle osteoarthritis, the evidence of this assumption is weak. In this study, we investigated the subtalar joint alignment in different stages of ankle joint osteoarthritis using weightbearing CT scans. The influence of the tibio-talar tilt and presence of subtalar joint osteoarthritis was additionally assessed. We hypothe

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Zhang, Hongmei, Yubo Zou, Will Terry, Wilfried Karmaus, and Hasan Arshad. "Joint Clustering With Correlated Variables." American Statistician 73, no. 3 (2018): 296–306. http://dx.doi.org/10.1080/00031305.2018.1424033.

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Jeong, Bi O., Jong Hun Baek, and Wookjae Song. "Changes in the Ankle Joint and Hindfoot Alignment Following Varus Deformity Correction of the Knee with Total Knee Arthroplasty." Foot & Ankle Orthopaedics 2, no. 3 (2017): 2473011417S0000. http://dx.doi.org/10.1177/2473011417s000051.

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Category: Ankle, Hindfoot Introduction/Purpose: Compensatory changes occur in the ankle joint and the subtalar joint of the hindfoot to maintain neutral alignment in coronal plane when varus or valgus deformity is present in the knee joint. The purpose of this study is (1) to analyze how the ankle and hindfoot joint compensate the changes in mechanical axis that occur with varus deformity of the knee, (2) to analyze the changes in ankle and hindfoot joint alignment when mechanical axis alignment is corrected by correction of varus deformity of the knee with total knee arthroplasty (TKA), and (

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Valente de Oliveira, José, Alexandre Szabo, and Leandro Nunes de Castro. "Particle Swarm Clustering in clustering ensembles: Exploiting pruning and alignment free consensus." Applied Soft Computing 55 (June 2017): 141–53. http://dx.doi.org/10.1016/j.asoc.2017.01.035.

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Rust, P. A., E. T. H. Ek, and S. K. Y. Tham. "Assessment of normal trapeziometacarpal joint alignment." Journal of Hand Surgery (European Volume) 42, no. 6 (2017): 605–9. http://dx.doi.org/10.1177/1753193417690473.

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The purpose of this study was to determine the alignment of the normal trapeziometacarpal joint and any changes in its alignment with age. Radial, dorsal and dorsoradial subluxation were measured on computerized tomographic scans in 50 joints of 50 adults aged 18 to 62. There were statistically significant correlations between increasing age and dorsoradial subluxation but no significant correlation with dorsal and radial subluxation. Significant dorsoradial subluxation occurs after 46 years of age in the normal trapeziometacarpal joint. A mean dorsoradial subluxation of 21% (range 14%–30%) ca

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Garrod, Simon, and Martin J. Pickering. "Joint Action, Interactive Alignment, and Dialog." Topics in Cognitive Science 1, no. 2 (2009): 292–304. http://dx.doi.org/10.1111/j.1756-8765.2009.01020.x.

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Krähenbühl, Nicola, Lena Siegler, Manja Deforth, Lukas Zwicky, Beat Hintermann, and Markus Knupp. "Subtalar joint alignment in ankle osteoarthritis." Foot and Ankle Surgery 25, no. 2 (2019): 143–49. http://dx.doi.org/10.1016/j.fas.2017.10.004.

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Rachar, Matthew. "Alignment and commitment in joint action." Philosophical Psychology 31, no. 6 (2018): 831–49. http://dx.doi.org/10.1080/09515089.2018.1448377.

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Diego, Ferran, Joan Serrat, and Antonio M. Lopez. "Joint Spatio-Temporal Alignment of Sequences." IEEE Transactions on Multimedia 15, no. 6 (2013): 1377–87. http://dx.doi.org/10.1109/tmm.2013.2247390.

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Lebsir, Rabah, Abdesslem Layeb, and Tahi Fariza. "A Greedy Clustering Algorithm for Multiple Sequence Alignment." International Journal of Cognitive Informatics and Natural Intelligence 15, no. 4 (2021): 1–17. http://dx.doi.org/10.4018/ijcini.20211001.oa41.

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This paper presents a strategy to tackle the Multiple Sequence Alignment (MSA) problem, which is one of the most important tasks in the biological sequence analysis. Its role is to align the sequences in their entirety to derive relationships and common characteristics between a set of protein or nucleotide sequences. The MSA problem was proved to be an NP-Hard problem. The proposed strategy incorporates a new idea based on the well-known divide and conquer paradigm. This paper presents a novel method of clustering sequences as a preliminary step to improve the final alignment; this decomposit

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Middleton, Sarah A., and Junhyong Kim. "NoFold: RNA structure clustering without folding or alignment." RNA 20, no. 11 (2014): 1671–83. http://dx.doi.org/10.1261/rna.041913.113.

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Krissinel, Eugene. "Protein structure alignment using efficient small-fragment clustering." Acta Crystallographica Section A Foundations of Crystallography 66, a1 (2010): s314. http://dx.doi.org/10.1107/s0108767310092780.

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Andreatta, Massimo, Bruno Alvarez, and Morten Nielsen. "GibbsCluster: unsupervised clustering and alignment of peptide sequences." Nucleic Acids Research 45, W1 (2017): W458—W463. http://dx.doi.org/10.1093/nar/gkx248.

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Liao, Mengmeng, and Xiaodong Gu. "Subspace clustering based on alignment and graph embedding." Knowledge-Based Systems 188 (January 2020): 105029. http://dx.doi.org/10.1016/j.knosys.2019.105029.

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Yu, Jun, Richang Hong, Meng Wang, and Jane You. "Image clustering based on sparse patch alignment framework." Pattern Recognition 47, no. 11 (2014): 3512–19. http://dx.doi.org/10.1016/j.patcog.2014.05.002.

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Lu, Yanting, Liantao Wang, Jianfeng Lu, Jingyu Yang, and Chunhua Shen. "Multiple kernel clustering based on centered kernel alignment." Pattern Recognition 47, no. 11 (2014): 3656–64. http://dx.doi.org/10.1016/j.patcog.2014.05.005.

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Orabi, Baraa, Emre Erhan, Brian McConeghy, et al. "Alignment-free clustering of UMI tagged DNA molecules." Bioinformatics 35, no. 11 (2018): 1829–36. http://dx.doi.org/10.1093/bioinformatics/bty888.

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Torarinsson, E., J. H. Havgaard, and J. Gorodkin. "Multiple structural alignment and clustering of RNA sequences." Bioinformatics 23, no. 8 (2007): 926–32. http://dx.doi.org/10.1093/bioinformatics/btm049.

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Chen, Sujie, and Roger S. Cheng. "Clustering for Interference Alignment in Multiuser Interference Network." IEEE Transactions on Vehicular Technology 63, no. 6 (2014): 2613–24. http://dx.doi.org/10.1109/tvt.2013.2292897.

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Nielsen, Fiona G. G., Kasper Galschiøt Markus, Rune Møllegaard Friborg, Lene Monrad Favrholdt, Hendrik G. Stunnenberg, and Martijn Huynen. "CATCHprofiles: Clustering and Alignment Tool for ChIP Profiles." PLoS ONE 7, no. 1 (2012): e28272. http://dx.doi.org/10.1371/journal.pone.0028272.

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Qiu, Liping, Qin Zhang, Xiaojun Chen, and Shaotian Cai. "Multi-Level Cross-Modal Alignment for Image Clustering." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 13 (2024): 14695–703. http://dx.doi.org/10.1609/aaai.v38i13.29387.

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Recently, the cross-modal pretraining model has been employed to produce meaningful pseudo-labels to supervise the training of an image clustering model. However, numerous erroneous alignments in a cross-modal pretraining model could produce poor-quality pseudo labels and degrade clustering performance. To solve the aforementioned issue, we propose a novel Multi-level Cross-modal Alignment method to improve the alignments in a cross-modal pretraining model for downstream tasks, by building a smaller but better semantic space and aligning the images and texts in three levels, i.e., instance-lev

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Bi, Shuyuan, and Wei Liu. "Clustering Analysis of Online Teaching Cases and Evaluation of Teaching Results." International Journal of Emerging Technologies in Learning (iJET) 18, no. 03 (2023): 128–42. http://dx.doi.org/10.3991/ijet.v18i03.38055.

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To facilitate front-line teachers to provide more efficient cases for classroom teaching activities in limited teaching time, it is necessary to conduct clustering analysis of online teaching cases. The existing clustering study on text-based teaching resources focuses on the representation and fusion of different views of texts and the discovery of consistent clustering allocation, and ignores the high-dimensional sparsity of text data. To this end, this paper studies clustering analysis of online teaching cases and evaluation of teaching results. This paper gives the design flow of online te

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DENG, YONGGANG, SHANKAR KUMAR, and WILLIAM BYRNE. "Segmentation and alignment of parallel text for statistical machine translation." Natural Language Engineering 13, no. 3 (2006): 235–60. http://dx.doi.org/10.1017/s1351324906004293.

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We address the problem of extracting bilingual chunk pairs from parallel text to create training sets for statistical machine translation. We formulate the problem in terms of a stochastic generative process over text translation pairs, and derive two different alignment procedures based on the underlying alignment model. The first procedure is a now-standard dynamic programming alignment model which we use to generate an initial coarse alignment of the parallel text. The second procedure is a divisive clustering parallel text alignment procedure which we use to refine the first-pass alignment

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Rakhel Artania, Corry, Yusuf Nasirudin, and Ari Sudarsono. "HUBUNGAN ALIGNMENT KNEE JOINT TERHADAP AGILITY PADA PEMAIN SEPAK BOLA AMATIR SEKOLAH SEPAK BOLA (SSB) USIA 11-14 TAHUN." JURNAL PROFESIONAL FISIOTERAPI 2, no. 1 (2023): 5–13. http://dx.doi.org/10.24127/fisioterapi.v2i1.3289.

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Latar Belakang: Alignment knee joint (bentuk sendi lutut) mempunyai hubungan yang negatif dengan tingkat kelincahan. Yang artinya semakin tinggi jarak bentuk sendi lutut maka akan semakin rendah skor dari kemampuan kelincahan. Dan kemampuan kelincahan merupakan salah satu keterampilan paling penting yang harus dimiliki oleh seorang pemain sepak bola sedari usia dini. Metode Penelitian: Penelitian ini merupakan penelitian “cross sectional” yang dilakukan sekali dalam satu waktu untuk mencari hubungan alignment knee joint terhadap agility pada pemain sepakbola amatir sekolah sepak bola (ssb) usi

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Itikap, Muhammad, and Burlian Mughnie. "KNEE ALIGNMENT IN ADOLESCENT FOOTBALL TRAINEES." Journal of Prosthetics Orthotics and Science Technology 1, no. 1 (2022): 45–49. http://dx.doi.org/10.36082/jpost.v1i1.654.

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Genu varum and valgum can trigger for osteoarthritis and happened between 16-18 years old. The study aimed to find out the relationship between knee joint alignment and footballers activities. This was a cross-sectional study, with 64 participants from two groups and only participants whom were meet all inclusion criteria were joined. It showed the knee joint angle in comparison to the norm was very significant with p- value 0.000 and there was a connection to practicing football against knee joint alignment, more specifically varum. In conclusion, there is a significant relationship between p

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Burssens, Arne, Peter Kvarda, Caspar S. Steiner, et al. "Correction of the Hindfoot Alignment after Supramalleolar Osteomy in Ankle Varus Deformity - A Three-Dimensional Analysis Using Weightbearing CT." Foot & Ankle Orthopaedics 7, no. 1 (2022): 2473011421S0000. http://dx.doi.org/10.1177/2473011421s00009.

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Category: Ankle; Ankle Arthritis; Hindfoot Introduction/Purpose: While correction of varus alignment at the level of the ankle joint has been investigated extensively after supramalleolar osteotomy (SMOT), the effect on the hindfoot alignment remains unclear. This can be attributed to the limitations of former 2-dimensional radiographic measurements used to quantify the complex 3-dimensional subtalar joint alignment. Therefore, we aimed to determine both the ankle and subtalar joint alignment before and after SMOT using a weightbearing CT and autogenerated 3-dimensional measurements. Methods:

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Liu, Tong, Gaven Martin, YongXin Zhu, Lin Peng, and Li Li. "Joint Robust Multi-view Spectral Clustering." Neural Processing Letters 52, no. 3 (2020): 1843–62. http://dx.doi.org/10.1007/s11063-020-10257-0.

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Gao, Fan, William Carlton, and Susan Kapp. "Effects of joint alignment and type on mechanical properties of thermoplastic articulated ankle-foot orthosis." Prosthetics and Orthotics International 35, no. 2 (2011): 181–89. http://dx.doi.org/10.1177/0309364611409617.

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Background: Articulated or hinged ankle-foot orthosis (AFO) allow more range of motion. However, quantitative investigation on articulated AFO is still sparse.Objective: The objective of the study was to quantitatively investigate effects of alignment and joint types on mechanical properties of the thermoplastic articulated AFO.Study design: Tamarack dorsiflexion assist flexure joints with three durometers (75, 85 and 95) and free motion joint were tested. The AFO joint was aligned with the center of the motor shaft (surrogate ankle joint), 10 mm superior, inferior, anterior and posterior with

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Redelings, Benjamin D., and Marc A. Suchard. "Joint Bayesian Estimation of Alignment and Phylogeny." Systematic Biology 54, no. 3 (2005): 401–18. http://dx.doi.org/10.1080/10635150590947041.

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Ge, Yongxin, Cheng Peng, Mingjian Hong, Sheng Huang, and Dan Yang. "Joint Local Regressors Learning for Face Alignment." Neurocomputing 208 (October 2016): 262–68. http://dx.doi.org/10.1016/j.neucom.2015.11.116.

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Schmitt, Holger, Hannes Kappel, Michael T. Moser, et al. "Determining knee joint alignment using digital photographs." Knee Surgery, Sports Traumatology, Arthroscopy 16, no. 8 (2008): 776–80. http://dx.doi.org/10.1007/s00167-008-0570-6.

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