https://conservancy.umn.edu/items/ab0db0ae-fab5-4eff-bc15-903863a880d5
Predictive modeling using dimensionality reduction and dependency structures
As a result of recent technological advances, the availability of collected high dimensional data has exploded in various fields such as text mining,...
predictive modelingdimensionality reductionusingdependencystructures
https://research.tue.nl/en/publications/explaining-three-dimensional-dimensionality-reduction-plots/
Explaining three-dimensional dimensionality reduction plots - Research portal Eindhoven University...
three dimensionaldimensionality reductionresearch portalexplainingplots
https://repository.lib.ncsu.edu/items/046dfa1a-382a-41fd-9439-388b81560e39
Dimensionality Reduction and Feature Selection using a Mixed-norm Penalty Function
Dimensionality reduction, which is the process of mapping high-dimension patterns to lower dimension subspaces, is a key issues in enhancing the processing...
dimensionality reductionfeature selection
https://uk.mathworks.com/help/stats/dimensionality-reduction-and-feature-extraction.html?s_tid=CRUX_topnav
Dimensionality Reduction and Feature Extraction - MATLAB & Simulink
PCA, factor analysis, feature selection, feature extraction, and more
dimensionality reductionfeature extractionmatlabsimulink
https://research.manchester.ac.uk/en/publications/dimensionality-reduction-in-lingual-articulation-of-vowels-eviden/
Dimensionality reduction in lingual articulation of vowels: Evidence from lax vowels in Northern...
dimensionality reductionlingualarticulation
https://experts.arizona.edu/en/publications/data-calibration-and-dimensionality-reduction-for-health-care-sys/
Data calibration and dimensionality reduction for health care system - University of Arizona
for health caredimensionality reduction
https://au.mathworks.com/help/stats/dimensionality-reduction-and-feature-extraction.html
Dimensionality Reduction and Feature Extraction - MATLAB & Simulink
PCA, factor analysis, feature selection, feature extraction, and more
dimensionality reductionfeature extractionmatlabsimulink
https://research.birmingham.ac.uk/en/publications/linear-dimensionality-reduction-using-relevance-weighted-lda/
Linear dimensionality reduction using relevance weighted lda - University of Birmingham
dimensionality reductionuniversity oflinearusingrelevance
https://is.mpg.de/publications/schaal_anips_1998
Local dimensionality reduction | MPI-IS
If globally high dimensional data has locally only low dimensional distributions, it is advantageous to perform a local dimensionality reduction before further...
dimensionality reductionlocalmpi
https://uwspace.uwaterloo.ca/items/cdb1876d-9298-4a75-a220-52d398f1c374/full
Nonlinear Dimensionality Reduction with Side Information
In this thesis, I look at three problems with important applications in data processing. Incorporating side information, provided by the user or derived from...
dimensionality reductionnonlinearsideinformation
https://math.washington.edu/events/2022-05-05/approximate-vector-bundles-and-fiberwise-dimensionality-reduction
Approximate vector bundles and fiberwise dimensionality reduction | Department of Mathematics |...
I will describe joint work with Jose Perea in which we propose combinatorial notions of vector bundle, study the extent to which these determine true vector...
dimensionality reductiondepartment ofapproximatevectorbundles
https://slim.gatech.edu/content/dimensionality-reduction-full-waveform-inversion
Dimensionality reduction for full-waveform inversion | Seismic Laboratory for Imaging and Modeling
dimensionality reductionfullwaveform
https://www.grammarly.com/blog/ai/what-is-dimensionality-reduction/
What Is Dimensionality Reduction in Machine Learning? | Grammarly
Oct 23, 2024 - Dimensionality reduction simplifies complex datasets by reducing the number of features while attempting to preserve the essential characteristics, helping...
in machine learningwhat isdimensionality reductiongrammarly
https://iptc.upm.es/publications/larger-encoders-smaller-regressors-exploring-label-dimensionality-reduction-and-multimodal-large-language-models-as-feature-extractors-for-predicting-social-perception/
Larger encoders, smaller regressors: exploring label dimensionality reduction and multimodal Large...
dimensionality reductionlargerencoderssmallerexploring
https://acp.copernicus.org/articles/20/1021/2020/acp-20-1021-2020-metrics.html
ACP - Metrics - Dimensionality-reduction techniques for complex mass spectrometric datasets:...
Abstract. Oxidation of organic compounds in the atmosphere produces an immensely complex mixture of product species, posing a challenge for both their...
dimensionality reductionacpmetricstechniquescomplex
https://research-portal.uu.nl/en/publications/robust-inversion-dimensionality-reduction-and-randomized-sampling/
Robust inversion, dimensionality reduction, and randomized sampling - Utrecht University
dimensionality reductionrobustinversionrandomizedsampling
https://se.mathworks.com/help/stats/dimensionality-reduction-and-feature-extraction.html
Dimensionality Reduction and Feature Extraction - MATLAB & Simulink
PCA, factor analysis, feature selection, feature extraction, and more
dimensionality reductionfeature extractionmatlabsimulink
https://discovery.fiu.edu/display/pub79435
Multi-element comparisons of tapes evidence using dimensionality reduction for calculating...
multi elementdimensionality reductioncomparisonstapes
https://open.library.ubc.ca/cIRcle/collections/48630/items/1.0377594
Topological Dimensionality Reduction - UBC Library Open Collections
Learning, knowledge, research, insight: welcome to the world of UBC Library, the second-largest academic research library in Canada.
dimensionality reductionlibrary opentopologicalubccollections
https://in.mathworks.com/help/stats/dimensionality-reduction-and-feature-extraction.html?s_tid=CRUX_lftnav
Dimensionality Reduction and Feature Extraction - MATLAB & Simulink
PCA, factor analysis, feature selection, feature extraction, and more
dimensionality reductionfeature extractionmatlabsimulink
https://lib.mivideo.it.umich.edu/media/DSPA+Chapter+5+Dimensionality+Reduction/1_cok7u0kd
DSPA Chapter 5 Dimensionality Reduction - U-M Library MediaSpace | MiVideo
dimensionality reductiondspachapterlibrarymediaspace
https://coderzcolumn-230815.appspot.com/tutorials/machine-learning/scikit-learn-sklearn-manifold-learning
Scikit-Learn - Non-Linear Dimensionality Reduction: Manifold Learning
Scikit-Learn - Non-Linear Dimensionality Reduction: Manifold Learning
scikit learnnon lineardimensionality reductionmanifoldlearning
https://se.mathworks.com/help/stats/dimensionality-reduction-and-feature-extraction.html?s_tid=CRUX_topnav
Dimensionality Reduction and Feature Extraction - MATLAB & Simulink
PCA, factor analysis, feature selection, feature extraction, and more
dimensionality reductionfeature extractionmatlabsimulink
https://corinwagen.github.io/public/blog/20230417_dimensionality_reduction.html
Dimensionality Reduction in Cheminformatics
dimensionality reductioncheminformatics
https://puma.ub.uni-stuttgart.de/bibtex/2d413406fbc4716dc8866489e012925d9/inue
Uncertainty-Aware Dimensionality Reduction for Channel Charting with Geodesic Loss | PUMA
The blue social bookmark and publication sharing system.
dimensionality reductionuncertaintyaware
https://cbmm.mit.edu/learning-hub/tutorials/computational-tutorial/dimensionality-reduction-ii
LH - -Computational Tutorial: Dimensionality Reduction II | The Center for Brains, Minds & Machines
dimensionality reduction
https://scholars.duke.edu/publication/1640836
Scholars@Duke publication: Nonlinear dimensionality reduction by topologically constrained...
dimensionality reductionscholarsdukepublicationnonlinear
https://uwspace.uwaterloo.ca/items/353a0a74-d948-49da-94be-c47d8ab71d23
Nonlinear Dimensionality Reduction by Manifold Unfolding
Every second, an enormous volume of data is being gathered from various sources and stored in huge data banks. Most of the time, monitoring a data source...
dimensionality reductionnonlinearmanifoldunfolding
https://publica.fraunhofer.de/entities/publication/42429b53-643a-4a77-a1ce-665d298bea1e
Non-Stationary Linear Bandits With Dimensionality Reduction for Large-Scale Recommender Systems
Taking advantage of contextual information can potentially boost the performance of recommender systems. In the era of Big Data, such side information often...
dimensionality reduction
https://researchportalplus.anu.edu.au/en/publications/dimensionality-reduction-via-compressive-sensing/
Dimensionality reduction via compressive sensing - The Australian National University
dimensionality reductioncompressive sensingthe australianvianational
https://harvard-iacs.github.io/2018-CS109A/a-sections/a-section-4/
Harvard CS109A | Advanced Section 4: Methods of Dimensionality Reduction - Principal Component...
FALL 2018 - Harvard University, Institute for Applied Computational Science. Advanced Section 4: Methods of Dimensionality Reduction - Principal Component...
advanced sectiondimensionality reductionharvard
https://www.semanticscholar.org/topic/Nonlinear-dimensionality-reduction/178867
Nonlinear dimensionality reduction | Semantic Scholar
High-dimensional data, meaning data that requires more than two or three dimensions to represent, can be difficult to interpret. One approach to simplification...
dimensionality reductionnonlinearsemanticscholar
https://jp.mathworks.com/help/stats/dimensionality-reduction-and-feature-extraction.html?s_tid=CRUX_lftnav
Dimensionality Reduction and Feature Extraction - MATLAB & Simulink
PCA, factor analysis, feature selection, feature extraction, and more
dimensionality reductionfeature extractionmatlabsimulink
https://nrc-publications.canada.ca/eng/view/object/?id=ddd45128-1b17-43b4-9c55-7fb4dc3c954f
PCA-enhanced autoencoders for nonlinear dimensionality reduction in low data regimes - NRC...
PCA-enhanced autoencoders for nonlinear dimensionality reduction in low data regimes
dimensionality reduction
https://www.mdpi.com/1996-1073/18/7/1637
Accelerating Energy Forecasting with Data Dimensionality Reduction in a Residential Environment
The non-stationary nature of energy data is a serious challenge for energy forecasting methods. Frequent model updates are necessary to adapt to distribution...
energy forecastingdimensionality reductionacceleratingdata
https://infoscience.epfl.ch/entities/publication/76559636-4bca-4294-b0aa-cbd4621749ae
Semi-supervised dimensionality reduction for analyzing high-dimensional data with constraints
In this paper, we present a novel semi-supervised dimensionality reduction technique to address the problems of inefficient learning and costly computation in...
dimensionality reductionsemisupervised
https://www.cg.tuwien.ac.at/courses/konversatorium/Communicating-High-dimensional-Data-through-Dimensionality-Reduction-and
Communicating High-dimensional Data through Dimensionality Reduction and Interactive Visualizations...
dimensional datadimensionality reductioncommunicatinghighinteractive
https://arxiv.org/abs/2308.03723v2
[2308.03723v2] Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical...
Abstract page for arXiv paper 2308.03723v2: Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation
dimensionality reduction
https://publications-cnrc.canada.ca/eng/view/object/?id=c548520b-92e2-48da-af32-fc26a9d79d1c
Nonlinear dimensionality reduction for low data regimes in photonics design - NRC Publications...
Nonlinear dimensionality reduction for low data regimes in photonics design
dimensionality reduction
https://nl.mathworks.com/help/stats/dimensionality-reduction-and-feature-extraction.html?s_tid=CRUX_lftnav
Dimensionality Reduction and Feature Extraction - MATLAB & Simulink
PCA, factor analysis, feature selection, feature extraction, and more
dimensionality reductionfeature extractionmatlabsimulink
https://github.com/jacobgil/pcc
GitHub - jacobgil/pcc: Preserving Clusters and Correlations: Dimensionality reduction with...
Preserving Clusters and Correlations: Dimensionality reduction with exceptional high global structure preservation - jacobgil/pcc
dimensionality reductiongithubpccpreservingclusters
https://liu.diva-portal.org/smash/record.jsf?pid=diva2%3A286704
Interactive Dimensionality Reduction Through User-defined Combinations of Quality Metrics
dimensionality reductionuser definedinteractivecombinationsquality
https://uwspace.uwaterloo.ca/items/b0b446e7-78ef-4f5f-ba37-4772ac05c87b
Studying CNN representations through activation dimensionality reduction and visualization
The field of explainable artificial intelligence (XAI) aims to explain the decisions of DNNs. Complete DNN explanations accurately reflect the inner workings...
dimensionality reductionstudyingcnnrepresentationsactivation
https://repository.gatech.edu/entities/publication/d1fd2945-741e-4bd8-8c7e-da662f71fa90
Isometry and convexity in dimensionality reduction
The size of data generated every year follows an exponential growth. The number of data points as well as the dimensions have increased dramatically the past...
convexitydimensionalityreduction
https://www.scirp.org/reference/ReferencesPapers?ReferenceID=1755918
Musa, A.B. (2013) A Comparison of 1-Regularizion, PCA, KPCA and ICA for Dimensionality Reduction in...
Musa, A.B. (2013) A Comparison of 1-Regularizion, PCA, KPCA and ICA for Dimensionality Reduction in Logistic Regression. International Journal of Machine...
https://refubium.fu-berlin.de/handle/fub188/52146
Refubium - Tackling High Dimensionality in QSP: Guiding Model Order Reduction With Index Analysis
https://lists.cs.princeton.edu/hyperkitty/list/talks@lists.cs.princeton.edu/thread/J5GELZ4ZYWJ5MUQL57WCKI2TGSLUFHVK/
Andrew Jones will present his General Exam "Contrastive dimensionality reduction methods for...
andrew jonesgeneral exam
https://meetings-archive.aps.org/apr/2021/sp01/30/
Pulsar Candidate Classification with Ensemble Methods and Optimized Dimensionality Reduction -...
As the volume of pulsar candidate data continues to rapidly increase, filtering for pulsar signals becomes increasingly challenging with existing methods. Detec
ensemble methodspulsarcandidateclassificationoptimized
https://arxiv.org/abs/1206.6455
[1206.6455] Regularizers versus Losses for Nonlinear Dimensionality Reduction: A Factored View with...
Abstract page for arXiv paper 1206.6455: Regularizers versus Losses for Nonlinear Dimensionality Reduction: A Factored View with New Convex Relaxations
https://publikationen.bibliothek.kit.edu/1000053789
On the Validity of the Method of Reduction of Dimensionality: ...
on thevaliditymethodreductiondimensionality
https://sib-swiss.github.io/single-cell-training/day2/day2-1_dimensionality_reduction.html
Single cell transcriptomics - Dimensionality reduction
single cell transcriptomicsdimensionalityreduction
https://infoscience.epfl.ch/entities/publication/0dfd9956-0633-4020-875b-6bd78c1ea36a
Semantic coding by supervised dimensionality reduction
This paper addresses the problem of representing multimedia information under a compressed form that permits efficient classification. The semantic coding...
semanticcodingsuperviseddimensionalityreduction
https://pubmed.ncbi.nlm.nih.gov/21846375/
An R package implementation of multifactor dimensionality reduction
MDR is a frequently-used data-mining method to identify potential gene-gene interactions, and alternative implementations will further increase this usage. We...
r packageimplementationmultifactordimensionalityreduction
https://forge.engineering.asu.edu/furiproject/cur-decomposition-method-for-dimensionality-reduction-of-high-dimensional-alloy-data/
CUR Decomposition Method for Dimensionality Reduction of High Dimensional Alloy Data - Fulton Forge...
Apr 14, 2021 - High Entropy Alloys have potential for application in structural and aerospace industries due to their desirable material properties. These alloys consist of...
https://meetings.aps.org/Meeting/MAR08/Session/P26.4
APS -2008 APS March Meeting - Event - Combined Dimensionality Reduction in Search and Detection...
march meeting
https://balsa.wustl.edu/jNxL
d=20+1 tfMRI Contrast ICA Dimensionality Reduction
contrasticadimensionalityreduction