- A local sequence alignment approach to recognizing fixed poetic forms across languages
2026/07/14 by Petr Plecháč, Artjoms Šeļa · 2 voices
Arts and Humanities · Computer Science · #Artificial Intelligence in Games #Authorship Attribution and Profiling #Boosting (machine learning) #Cluster analysis #Curse of dimensionality #Czech #Digital Humanities and Scholarship #Dimension (graph theory) #Dimensionality reduction #Pairwise comparison #Pattern recognition (psychology) #Sequence (biology)
- Less Noise, More Signal: the DRR Effect for Better Optimizations of a Range of SE Tasks
2025/03/27 by Andre Lustosa, Lustosa, Andre, Tim Menzies +1 · 3 citations
Computer Science · #Analytics #Curse of dimensionality #Digital Rights Management and Security #Dimensionality reduction #Matching (statistics) #Metric (unit) #Process (computing) #Reduction (mathematics) #Software
- Reduced order modeling with shallow recurrent decoder networks
2025/02/15 by Matteo Tomasetto, Tomasetto, Matteo, Jan P. Williams +7 · 10 citations
Computer Science · Physics and Astronomy · #Chaotic #Compressed sensing #Curse of dimensionality #Dimensionality reduction #Generative Adversarial Networks and Image Synthesis #Hyperparameter #Model Reduction and Neural Networks #Neural Networks and Reservoir Computing #Nonlinear system #Parametric statistics #Reduction (mathematics)
- Exploring descriptors for titanium microstructure via digital fingerprints from variational autoencoders
2024/01/22 by Michael D. White, White, Michael D., Gowtham Nimmal Haribabu +9 · 1 citation
Biochemistry, Genetics and Molecular Biology · Engineering · Materials Science · #Artificial intelligence #Computational Physics (physics.comp-ph) #Computer science #Curse of dimensionality #Dimensionality reduction #FOS: Physical sciences #Machine Learning in Materials Science #Machine learning #Materials Science (cond-mat.mtrl-sci) #Materials science #Microstructure #Molecular Biology Techniques and Applications #Pattern recognition (psychology) #Thermography and Photoacoustic Techniques
- Global sensitivity analysis with multifidelity Monte Carlo and polynomial chaos expansion for carotid artery haemodynamics
2024/01/10 by Friederike Schäfer, Schäfer, Friederike, Daniele E. Schiavazzi +5 · 1 citation
Decision Sciences · Engineering · Mathematics · #Applications (stat.AP) #Artificial intelligence #Computation (stat.CO) #Computer science #Curse of dimensionality #Dimensionality reduction #Engineering #Estimator #FOS: Computer and information sciences #Machine learning #Markov chain Monte Carlo #Mathematical optimization #Mathematics #Monte Carlo method #Monte Carlo molecular modeling #Polynomial chaos #Probabilistic and Robust Engineering Design #Quasi-Monte Carlo method #Sensitivity (control systems) #Sobol sequence #Statistics #Uncertainty quantification #Variance reduction
- Data efficiency, dimensionality reduction, and the generalized symmetric information bottleneck
2023/09/11 by K. Michael Martini, Martini, K. Michael, Ilya Nemenman +1 · 1 citation
Computer Science · Mathematics · #Advanced Data Compression Techniques #Algorithm #Artificial intelligence #Bottleneck #Compression (physics) #Computer science #Curse of dimensionality #Data Analysis #Data compression #Data mining #Dimensionality reduction #Error Correcting Code Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Information Theory (cs.IT) #Information bottleneck method #Machine Learning (cs.LG) #Mathematics #Mutual information #Reduction (mathematics) #Statistical Mechanics (cond-mat.stat-mech) #Statistics and Probability (physics.data-an) #Stochastic Gradient Optimization Techniques
- Spectral estimation from simulations via sketching
2021/09/09 by Zhishen Huang, Stephen Becker · 1 citation
Computer Science · Mathematics · #Algorithm #Applied mathematics #Artificial intelligence #Autocorrelation #Combinatorics #Computer science #Dimension (graph theory) #Dimensionality reduction #Gaussian Processes and Bayesian Inference #Graph #Markov Chains and Monte Carlo Methods #Mathematical analysis #Mathematics #Regression #Spectral density #Spectral density estimation #Statistics #Stochastic Gradient Optimization Techniques #Theoretical computer science
- Sufficient dimension reduction for classification using principal\n optimal transport direction
2020/10/19 by Cheng Meng, Meng, Cheng, Jun Yu +7 · 1 citation
Computer Science · Engineering · Mathematics · #Algorithm #Artificial intelligence #Basis (linear algebra) #Categorical variable #Combinatorics #Computer science #Dimension (graph theory) #Dimensionality reduction #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical optimization #Mathematics #Methodology (stat.ME) #Pattern recognition (psychology) #Principal component analysis #Reduction (mathematics) #Sparse and Compressive Sensing Techniques #Statistics #Subspace topology #Sufficient dimension reduction #Text and Document Classification Technologies
- Model reduction for nonlinear dynamical systems using deep convolutional autoencoders.
2019/11/15 by Kookjin Lee, Kevin Carlberg, Kevin T. Carlberg · 81 citations
Computer Science · Decision Sciences · Earth and Planetary Sciences · Engineering · Mathematics · Physics and Astronomy · #Algorithm #Applied mathematics #Artificial intelligence #Computer science #Dimensionality reduction #Galerkin method #Gaussian Processes and Bayesian Inference #Linear subspace #Manifold (fluid mechanics) #Mathematical analysis #Mathematics #Model Reduction and Neural Networks #Model order reduction #Nonlinear system #Nuclear reactor physics and engineering #Physics #Probabilistic and Robust Engineering Design #Projection (relational algebra) #Pure mathematics #Reduction (mathematics) #Seismic Imaging and Inversion Techniques #Subspace topology
- A Data-Driven Health Monitoring Method for Satellite Housekeeping Data Based on Probabilistic Clustering and Dimensionality Reduction
2017/02/27 by Takehisa Yairi, Naoya Takeishi, Tetsuo Oda +3 · 7 citations
Computer Science · Engineering · Health Professions · #Anomaly Detection Techniques and Applications #Anomaly detection #Artificial intelligence #Cluster analysis #Computer science #Data mining #Dimensionality reduction #Engineering #Fault Detection and Control Systems #Housekeeping #Probabilistic logic #Quality and Safety in Healthcare #Satellite
- An Improved Gap-Dependency Analysis of the Noisy Power Method
2016/02/23 by Maria Florina Balcan, Balcan, Maria Florina, Simon S. Du +5 · 4 citations
Computer Science · Engineering · Mathematics · #Algorithm #Artificial intelligence #Combinatorics #Computer science #Dependency (UML) #Dimensionality reduction #FOS: Computer and information sciences #FOS: Mathematics #Linear subspace #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematics #Matrix (chemical analysis) #Noise (video) #Numerical Analysis (math.NA) #Power (physics) #Principal component analysis #Random Matrices and Applications #Rank (graph theory) #Sigma #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #Subspace topology
- Bayesian factorizations of big sparse tensors
2013/06/07 by Jing Zhou, Zhou, Jing, Anirban Bhattacharya +7 · 2 citations
Computer Science · Engineering · Mathematics · #Algorithm #Artificial intelligence #Bayesian probability #Blind Source Separation Techniques #Combinatorics #Computational chemistry #Computer science #Contingency table #Dimension (graph theory) #Dimensionality reduction #Eigenvalues and eigenvectors #FOS: Computer and information sciences #Factorization #Gibbs sampling #Machine learning #Mathematics #Matrix decomposition #Methodology (stat.ME) #Physics #Prior probability #Pure mathematics #Rank (graph theory) #Sparse and Compressive Sensing Techniques #Sparse matrix #Tensor (intrinsic definition) #Tensor decomposition and applications #stat.ME
- Performance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief vs. disbelief
2010/11/11 by P.K. Douglas, Pamela K. Douglas, Sam Harris +2 · 1 citation
Computer Science · Neuroscience · #AdaBoost #Artificial intelligence #Classifier (UML) #Computer science #Dimensionality reduction #EEG and Brain-Computer Interfaces #Machine learning #Naive Bayes classifier #Neural Networks and Applications #Neural dynamics and brain function #Pattern recognition (psychology) #Random forest #Support vector machine
- A Unifying Probabilistic Perspective for Spectral Dimensionality Reduction: Insights and New Models
2010/10/22 by Neil D. Lawrence, Lawrence, Neil D. · 1 citation
Computer Science · Mathematics · #Algorithm #Artificial Intelligence (cs.AI) #Artificial intelligence #Computer science #Diffusion map #Dimensionality reduction #FOS: Computer and information sciences #Face and Expression Recognition #Gaussian #Gaussian Processes and Bayesian Inference #Graphical model #Isomap #Markov chain #Markov model #Markov property #Mathematics #Maximum-entropy Markov model #Neural Networks and Applications #Nonlinear dimensionality reduction #Pattern recognition (psychology) #Principle of maximum entropy #Probabilistic logic #Random field #Statistics #cs.AI
- MPCA: Multilinear Principal Component Analysis of Tensor Objects
2008/01/01 by Haiping Lu, K.N. Plataniotis, Konstantinos N. Plataniotis +1 · 9 citations
Computer Science · Engineering · Mathematics · #Algorithm #Artificial intelligence #Computer science #Curse of dimensionality #Dimensionality reduction #Discriminative model #Feature (linguistics) #Feature extraction #Gait Recognition and Analysis #Human Pose and Action Recognition #Mathematics #Multilinear map #Pattern recognition (psychology) #Principal component analysis #Projection (relational algebra) #Speech and Audio Processing #Subspace topology #Tensor (intrinsic definition)
- Unsupervised Learning of Image Manifolds by Semidefinite Programming
2006/05/01 by Kilian Q. Weinberger, Lawrence K. Saul · 1 citation
Computer Science · Mathematics · #Advanced Vision and Imaging #Algorithm #Artificial intelligence #Computer science #Computer vision #Data set #Dimensionality reduction #Face and Expression Recognition #Image (mathematics) #Manifold (fluid mechanics) #Mathematical optimization #Mathematics #Nonlinear dimensionality reduction #Pattern recognition (psychology) #Quadratic programming #Representation (politics) #Semidefinite embedding #Semidefinite programming #Set (abstract data type) #Topological and Geometric Data Analysis
- Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment
2004/01/01 by Zhenyue Zhang, Hongyuan Zha · 2 citations
Computer Science · Engineering · Mathematics · #Advanced Vision and Imaging #Advanced Numerical Analysis Techniques #Human Pose and Action Recognition #Tangent space #Mathematics #Nonlinear dimensionality reduction #Manifold (fluid mechanics) #Dimensionality reduction #Diffusion map #Euclidean space #Manifold alignment #Parameterized complexity #Tangent cone #Tangent #Tangent vector #Curse of dimensionality #Algorithm #Isomap #Pseudo-Riemannian manifold #Nonlinear system #Mathematical analysis #Geometry #Computer science #Curvature #Artificial intelligence
- Consistency-based search in feature selection
2003/07/07 by Manoranjan Dash, Huan Liu · 36 citations
Computer Science · Mathematics · #Artificial intelligence #Classifier (UML) #Computer science #Consistency (knowledge bases) #Curse of dimensionality #Data mining #Dimensionality reduction #Face and Expression Recognition #Feature (linguistics) #Feature selection #Feature vector #Heuristic #Machine Learning and Algorithms #Machine Learning and Data Classification #Machine learning #Mathematics #Measure (data warehouse) #Pattern recognition (psychology)
- Nonlinear Dimensionality Reduction by Locally Linear Embedding
2000/12/22 by Sam T. Roweis, Lawrence K. Saul · 13 citations
Computer Science · Mathematics · #Face and Expression Recognition #Advanced Vision and Imaging #Image Retrieval and Classification Techniques #Dimensionality reduction #Nonlinear dimensionality reduction #Maxima and minima #Embedding #Cluster analysis #Isomap #Curse of dimensionality #Computer science #Reduction (mathematics) #Diffusion map #Visualization #Artificial intelligence #Pattern recognition (psychology) #Nonlinear system #Algorithm #Mathematics #Physics
- An Algorithm for Finding Intrinsic Dimensionality of Data
1971/02/01 by Keinosuke Fukunaga, K. Fukunaga, D.R. Olsen · 43 citations
Computer Science · Mathematics · #Advanced Statistical Methods and Models #Algorithm #Artificial intelligence #Computer science #Curse of dimensionality #Dimensionality reduction #Face and Expression Recognition #Intrinsic dimension #Mathematics #Neural Networks and Applications