Journal articles on the topic 'Intrinsic dimensionality estimation'
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LI, CHUN-GUANG, JUN GUO, and BO XIAO. "INTRINSIC DIMENSIONALITY ESTIMATION WITHIN NEIGHBORHOOD CONVEX HULL." International Journal of Pattern Recognition and Artificial Intelligence 23, no. 01 (February 2009): 31–44. http://dx.doi.org/10.1142/s0218001409007016.
Full textHe, Jinrong, Lixin Ding, Lei Jiang, Zhaokui Li, and Qinghui Hu. "Intrinsic dimensionality estimation based on manifold assumption." Journal of Visual Communication and Image Representation 25, no. 5 (July 2014): 740–47. http://dx.doi.org/10.1016/j.jvcir.2014.01.006.
Full textBruske, J., and G. Sommer. "Intrinsic dimensionality estimation with optimally topology preserving maps." IEEE Transactions on Pattern Analysis and Machine Intelligence 20, no. 5 (May 1998): 572–75. http://dx.doi.org/10.1109/34.682189.
Full textCordes, Dietmar, and Rajesh R. Nandy. "Estimation of the intrinsic dimensionality of fMRI data." NeuroImage 29, no. 1 (January 2006): 145–54. http://dx.doi.org/10.1016/j.neuroimage.2005.07.054.
Full textAmsaleg, Laurent, Oussama Chelly, Teddy Furon, Stéphane Girard, Michael E. Houle, Ken-ichi Kawarabayashi, and Michael Nett. "Extreme-value-theoretic estimation of local intrinsic dimensionality." Data Mining and Knowledge Discovery 32, no. 6 (July 27, 2018): 1768–805. http://dx.doi.org/10.1007/s10618-018-0578-6.
Full textAltan, Ege, Sara A. Solla, Lee E. Miller, and Eric J. Perreault. "Estimating the dimensionality of the manifold underlying multi-electrode neural recordings." PLOS Computational Biology 17, no. 11 (November 29, 2021): e1008591. http://dx.doi.org/10.1371/journal.pcbi.1008591.
Full textHeylen, Rob, and Paul Scheunders. "Hyperspectral Intrinsic Dimensionality Estimation With Nearest-Neighbor Distance Ratios." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 6, no. 2 (April 2013): 570–79. http://dx.doi.org/10.1109/jstars.2013.2256338.
Full textWang, Xiaorong, and Aiqing Xu. "Intrinsic Dimensionality Estimation for Data Points in Local Region." Sankhya B 81, no. 1 (March 15, 2018): 123–32. http://dx.doi.org/10.1007/s13571-018-0156-3.
Full textKarbauskaitė, Rasa, and Gintautas Dzemyda. "Geodesic distances in the intrinsic dimensionality estimation using packing numbers." Nonlinear Analysis: Modelling and Control 19, no. 4 (December 10, 2014): 578–91. http://dx.doi.org/10.15388/na.2014.4.4.
Full textBenkő, Zsigmond, Marcell Stippinger, Roberta Rehus, Attila Bencze, Dániel Fabó, Boglárka Hajnal, Loránd G. Eröss, András Telcs, and Zoltán Somogyvári. "Manifold-adaptive dimension estimation revisited." PeerJ Computer Science 8 (January 6, 2022): e790. http://dx.doi.org/10.7717/peerj-cs.790.
Full textBac, Jonathan, Evgeny M. Mirkes, Alexander N. Gorban, Ivan Tyukin, and Andrei Zinovyev. "Scikit-Dimension: A Python Package for Intrinsic Dimension Estimation." Entropy 23, no. 10 (October 19, 2021): 1368. http://dx.doi.org/10.3390/e23101368.
Full textDengyao Mo and S. H. Huang. "Fractal-Based Intrinsic Dimension Estimation and Its Application in Dimensionality Reduction." IEEE Transactions on Knowledge and Data Engineering 24, no. 1 (January 2012): 59–71. http://dx.doi.org/10.1109/tkde.2010.225.
Full textAlizadeh Naeini, Amin, Saeid Homayouni, and Mohammad Saadatseresht. "Intrinsic Dimensionality Estimation in Hyperspectral Imagery Using Residual and Change-Point Analyses." IEEE Geoscience and Remote Sensing Letters 11, no. 11 (November 2014): 2005–9. http://dx.doi.org/10.1109/lgrs.2014.2317352.
Full textYata, Kazuyoshi, and Makoto Aoshima. "Intrinsic Dimensionality Estimation of High-Dimension, Low Sample Size Data withD-Asymptotics." Communications in Statistics - Theory and Methods 39, no. 8-9 (April 21, 2010): 1511–21. http://dx.doi.org/10.1080/03610920903121999.
Full textLei, Liang, TongQing Wang, Jun Peng, and Bo Yang. "Image Dimensionality Reduction Based on the Intrinsic Dimension and Parallel Genetic Algorithm." International Journal of Cognitive Informatics and Natural Intelligence 5, no. 2 (April 2011): 97–112. http://dx.doi.org/10.4018/jcini.2011040106.
Full textCampadelli, P., E. Casiraghi, C. Ceruti, and A. Rozza. "Intrinsic Dimension Estimation: Relevant Techniques and a Benchmark Framework." Mathematical Problems in Engineering 2015 (2015): 1–21. http://dx.doi.org/10.1155/2015/759567.
Full textSang, Yu, Hong Wen Song, and Jun Zhao. "Intrinsic Dimensional Correlation Discretization for Mining Task." Applied Mechanics and Materials 404 (September 2013): 548–54. http://dx.doi.org/10.4028/www.scientific.net/amm.404.548.
Full textSumet Mehta. "Generalized Multi-manifold Graph Ensemble Embedding for Multi-View Dimensionality Reduction." Lahore Garrison University Research Journal of Computer Science and Information Technology 4, no. 4 (December 28, 2020): 55–72. http://dx.doi.org/10.54692/lgurjcsit.2020.0404109.
Full textAlluri, Vinoo, and Petri Toiviainen. "Effect of Enculturation on the Semantic and Acoustic Correlates of Polyphonic Timbre." Music Perception 29, no. 3 (December 2011): 297–310. http://dx.doi.org/10.1525/mp.2012.29.3.297.
Full textHasanlou, Mahdi, and Farhad Samadzadegan. "Comparative Study of Intrinsic Dimensionality Estimation and Dimension Reduction Techniques on Hyperspectral Images Using K-NN Classifier." IEEE Geoscience and Remote Sensing Letters 9, no. 6 (November 2012): 1046–50. http://dx.doi.org/10.1109/lgrs.2012.2189547.
Full textCui, Kai. "Semiparametric Gaussian Variance-Mean Mixtures for Heavy-Tailed and Skewed Data." ISRN Probability and Statistics 2012 (December 23, 2012): 1–18. http://dx.doi.org/10.5402/2012/345784.
Full textDing, Yiyang, Anyong Qin, Zhaowei Shang, and Jiye Qian. "Spatial distribution preserving-based sparse subspace clustering for hyperspectral image." International Journal of Wavelets, Multiresolution and Information Processing 17, no. 02 (March 2019): 1940010. http://dx.doi.org/10.1142/s0219691319400101.
Full textDeleforge, Antoine, Florence Forbes, and Radu Horaud. "Acoustic Space Learning for Sound-Source Separation and Localization on Binaural Manifolds." International Journal of Neural Systems 25, no. 01 (January 6, 2015): 1440003. http://dx.doi.org/10.1142/s0129065714400036.
Full textBaydal, E., G. Andreu, and E. Vidal. "Estimating the intrinsic dimensionality of discrete utterances." IEEE Transactions on Acoustics, Speech, and Signal Processing 37, no. 5 (May 1989): 755–57. http://dx.doi.org/10.1109/29.17567.
Full textKarbauskaitė, Rasa, Gintautas Dzemyda, and Edmundas Mazėtis. "Geodesic distances in the maximum likelihood estimator of intrinsic dimensionality." Nonlinear Analysis: Modelling and Control 16, no. 4 (December 7, 2011): 387–402. http://dx.doi.org/10.15388/na.16.4.14084.
Full textKarbauskaitė, Rasa, and Gintautas Dzemyda. "Optimization of the Maximum Likelihood Estimator for Determining the Intrinsic Dimensionality of High–Dimensional Data." International Journal of Applied Mathematics and Computer Science 25, no. 4 (December 1, 2015): 895–913. http://dx.doi.org/10.1515/amcs-2015-0064.
Full textAhram, Tareq Z., Pamela McCauley-Bush, and Waldemar Karwowski. "Estimating intrinsic dimensionality using the multi-criteria decision weighted model and the average standard estimator." Information Sciences 180, no. 15 (August 2010): 2845–55. http://dx.doi.org/10.1016/j.ins.2010.04.006.
Full textXie, Xiaoping, Zhitong Cao, Xuchu Weng, and Dan Jin. "Estimating intrinsic dimensionality of fMRI dataset incorporating an AR(1) noise model with cubic spline interpolation." Neurocomputing 72, no. 4-6 (January 2009): 1042–55. http://dx.doi.org/10.1016/j.neucom.2008.04.003.
Full textKarbauskaitė, Rasa, and Gintautas Dzemyda. "Fractal-Based Methods as a Technique for Estimating the Intrinsic Dimensionality of High-Dimensional Data: A Survey." Informatica 27, no. 2 (January 1, 2016): 257–81. http://dx.doi.org/10.15388/informatica.2016.84.
Full textSidorov, Sergey, and Nikolai Zolotykh. "Linear and Fisher Separability of Random Points in the d-Dimensional Spherical Layer and Inside the d-Dimensional Cube." Entropy 22, no. 11 (November 12, 2020): 1281. http://dx.doi.org/10.3390/e22111281.
Full textErba, Vittorio, Marco Gherardi, and Pietro Rotondo. "Intrinsic dimension estimation for locally undersampled data." Scientific Reports 9, no. 1 (November 20, 2019). http://dx.doi.org/10.1038/s41598-019-53549-9.
Full textDenti, Francesco, Diego Doimo, Alessandro Laio, and Antonietta Mira. "The generalized ratios intrinsic dimension estimator." Scientific Reports 12, no. 1 (November 21, 2022). http://dx.doi.org/10.1038/s41598-022-20991-1.
Full textEinbeck, Jochen, and Zakiah Kalantana. "Intrinsic Dimensionality Estimation for High-dimensional Data Sets: New Approaches for the Computation of Correlation Dimension." Journal of Emerging Technologies in Web Intelligence 5, no. 2 (May 1, 2013). http://dx.doi.org/10.4304/jetwi.5.2.91-97.
Full textVinga, Susana. "Structured sparsity regularization for analyzing high-dimensional omics data." Briefings in Bioinformatics, June 29, 2020. http://dx.doi.org/10.1093/bib/bbaa122.
Full textMasum, Shakil A., Zhihong Zhang, Gailei Tian, and Mimnun Sultana. "Three-dimensional fully coupled hydro-mechanical-chemical model for solute transport under mechanical and osmotic loading conditions." Environmental Science and Pollution Research, August 20, 2022. http://dx.doi.org/10.1007/s11356-022-22600-0.
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