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Longer titles found: Nonlinear dimensionality reduction (view), Multifactor dimensionality reduction (view)

searching for Dimensionality reduction 52 found (273 total)

alternate case: dimensionality reduction

Multilinear subspace learning (1,771 words) [view diff] exact match in snippet view article find links to article

Multilinear subspace learning is an approach to dimensionality reduction.Dimensionality reduction can be performed on a data tensor whose observations
Semidefinite embedding (1,553 words) [view diff] exact match in snippet view article find links to article
science that uses semidefinite programming to perform non-linear dimensionality reduction of high-dimensional vectorial input data. It is motivated by the
Graduated optimization (709 words) [view diff] exact match in snippet view article find links to article
graduated optimization to seek a manifold embedding for non-linear dimensionality reduction. It gradually scales variance out of extra dimensions within a
Clustering high-dimensional data (1,900 words) [view diff] exact match in snippet view article find links to article
, & Kaski, S.: Information retrieval perspective to nonlinear dimensionality reduction for data visualization, The Journal of Machine Learning Research
Andrzej Cichocki (348 words) [view diff] exact match in snippet view article find links to article
Cichocki also conducts research in the fields of Feature extraction, Dimensionality reduction, Classification and hierarchical clustering, Anomaly detection
Data Analytics Acceleration Library (602 words) [view diff] exact match in snippet view article find links to article
Principal Component Analysis (PCA): the most popular algorithm for dimensionality reduction. Association rules mining: Detecting co-occurrence patterns. Commonly
Contact mechanics (11,010 words) [view diff] case mismatch in snippet view article find links to article
hemispherical cup). Some contact problems can be solved with the Method of Dimensionality Reduction (MDR). In this method, the initial three-dimensional system is
Shogun (toolbox) (464 words) [view diff] exact match in snippet view article
Shogun supports the following algorithms: Support vector machines Dimensionality reduction algorithms, such as PCA, Kernel PCA, Locally Linear Embedding,
Isometry (2,110 words) [view diff] case mismatch in snippet view article find links to article
University. p. 125. Roweis, S. T.; Saul, L. K. (2000). "Nonlinear Dimensionality Reduction by Locally Linear Embedding". Science. 290 (5500): 2323–2326. CiteSeerX 10
Phoenix network coordinates (571 words) [view diff] exact match in snippet view article find links to article
This matrix factorization is essentially a problem of linear dimensionality reduction and Phoenix tries to solve it in a distributed way. Different from
Ontology for Biomedical Investigations (907 words) [view diff] exact match in snippet view article find links to article
and data analysis) – for example principal components analysis dimensionality reduction, mean calculation Less 'concrete' aspects such as the role a given
Data Science and Predictive Analytics (437 words) [view diff] case mismatch in snippet view article find links to article
Data in R Data Visualization Linear Algebra & Matrix Computing Dimensionality Reduction Lazy Learning: Classification Using Nearest Neighbors Probabilistic
Computational genomics (1,934 words) [view diff] no match in snippet view article find links to article
important parts of these tools. These processes can consist of dimensionality -reduction techniques, such as Minhash, and clusterization algorithms such
MANIC (cognitive architecture) (569 words) [view diff] case mismatch in snippet view article
conscious beings. Gashler, M. and Martinez, T., Temporal Nonlinear Dimensionality Reduction, In Proceedings of the International Joint Conference on Neural
Metabolic gene cluster (1,143 words) [view diff] no match in snippet view article find links to article
important parts of these tools. These processes can consist of dimensionality -reduction techniques, such as Minhash, and clusterization algorithms such
Catherine Havasi (562 words) [view diff] case mismatch in snippet view article find links to article
Henry Lieberman.'Digital Intuition: Applying Common Sense Using Dimensionality Reduction. IEEE Journal of Intelligent Systems, 24(4) July 2009. (cited 97
Opinion Space (544 words) [view diff] case mismatch in snippet view article find links to article
Deliberative opinion poll Online consultation Distributed Spectral Dimensionality Reduction for Visualizing Textual Data. Sanjay Krishnan and Ken Goldberg
Wavelet transform (3,533 words) [view diff] case mismatch in snippet view article find links to article
phycom.2009.07.001. Sheybani, E.; Javidi, G. (December 2009). "Dimensionality Reduction and Noise Removal in Wireless Sensor Network Datasets". 2009 Second
Code stylometry (1,160 words) [view diff] exact match in snippet view article find links to article
pseudocode through decompilation to obtain abstract syntax trees. Dimensionality reduction - The most relevant and useful features for author identification
VALCRI (747 words) [view diff] case mismatch in snippet view article find links to article
Sacha, Dominik (February 2017). "Applying Visual Interactive Dimensionality Reduction to Criminal Intelligence Analysis" (PDF). Duquenoy, P. (2018).
ICPRAM (1,989 words) [view diff] case mismatch in snippet view article find links to article
Gisbrecht and Alexander Schulz. "Applications of Discriminative Dimensionality Reduction" Best Student Paper: Cristina Garcia-Cardona, Arjuna Flenner and
Jelani Nelson (935 words) [view diff] exact match in snippet view article find links to article
He is known for his contributions to streaming algorithms and dimensionality reduction, including proving that the Johnson–Lindenstrauss lemma is optimal
Piranha (software) (609 words) [view diff] case mismatch in snippet view article
Proceedings of the IEEE Swarm Intelligence Symposium, St. Louis, Mo. Dimensionality Reduction for High Dimensional Particle Swarm Clustering. Yasin, Rutrell
Cosine similarity (2,622 words) [view diff] exact match in snippet view article find links to article
techniques available to any Euclidean space, notably standard dimensionality reduction techniques. This normalised form distance is notably used within
Cecilia Clementi (695 words) [view diff] exact match in snippet view article find links to article
free-energy landscapes of protein-folding reactions by nonlinear dimensionality reduction". Proceedings of the National Academy of Sciences. 103 (26): 9885–9890
Tf–idf (3,174 words) [view diff] exact match in snippet view article find links to article
text mining (TM) specifically i) indexing, ii) retrieval, iii) dimensionality reduction, iv) clustering, v) classification. The indexing step offers the
Speech recognition (11,147 words) [view diff] exact match in snippet view article find links to article
neural networks as a pre-processing, feature transformation or dimensionality reduction, step prior to HMM based recognition. However, more recently, LSTM
Michael Elad (854 words) [view diff] exact match in snippet view article find links to article
representations. The field of sparse representations introduces a universal dimensionality reduction model for data sources and signals based on "sparsity", along with
K-nearest neighbors algorithm (4,229 words) [view diff] exact match in snippet view article find links to article
S2CID 8522279 Bingham, Ella; and Mannila, Heikki; "Random projection in dimensionality reduction: applications to image and text data", in Proceedings of the seventh
Hermann Moisl (1,498 words) [view diff] exact match in snippet view article find links to article
validity of analytical results: document length normalization, dimensionality reduction, and data nonlinearity. Relevant publications are Moisl, H. and
K-means clustering (6,401 words) [view diff] exact match in snippet view article find links to article
Sam; Musco, Cameron; Musco, Christopher; Persu, Madalina (2014). "Dimensionality reduction for k-means clustering and low rank approximation (Appendix B)"
Partially observable Markov decision process (2,808 words) [view diff] exact match in snippet view article find links to article
constrain the planning to relevant areas in the belief space. Dimensionality reduction using PCA has also been explored. Planning in POMDP is undecidable
Flow cytometry (6,114 words) [view diff] exact match in snippet view article find links to article
Neighbor Embedding (tSNE) is an algorithm designed to perform dimensionality reduction, to allow visualization of complex multi-dimensional data in a
Fault detection and isolation (3,128 words) [view diff] exact match in snippet view article find links to article
learning models extract a few feature values from signals, causing a dimensionality reduction from the original signal. By using Convolutional neural networks
Kwan-Liu Ma (1,146 words) [view diff] case mismatch in snippet view article find links to article
Takanori Fujiwara, Oh-Hyun Kwon, Kwan-Liu Ma: Supporting Analysis of Dimensionality Reduction Results with Contrastive Learning. IEEE Trans. Vis. Comput. Graph
Peter Capak (1,497 words) [view diff] exact match in snippet view article find links to article
Daniel; Shahidi, Abtin (2019). "Bringing manifold learning and dimensionality reduction to SED fitters". The Astrophysical Journal. 881 (1): L14. arXiv:1905
Hanoch Senderowitz (1,502 words) [view diff] case mismatch in snippet view article find links to article
Hanoch (2018). "Visualization of Solar Cell Library Space by Dimensionality Reduction Methods". Journal of Chemical Information and Modeling. 58 (12):
Multidimensional network (7,559 words) [view diff] exact match in snippet view article find links to article
simplify the structure of such systems by employing some kind of dimensionality reduction. A popular method is based on the calculation of the quantum Jensen-Shannon
Anastasios Venetsanopoulos (3,080 words) [view diff] case mismatch in snippet view article find links to article
Applications", "WLAN Positioning Systems", "Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data". He was supported by grants from the
R. J. Dwayne Miller (1,728 words) [view diff] case mismatch in snippet view article find links to article
Study of Single-Crystal (EDO-TTF)2SbF6: Counterion Effect and Dimensionality Reduction". Chem. Phys. Lett. 683 (15): 160–165. Bibcode:2017CPL...683..160L
Latent semantic analysis (7,476 words) [view diff] case mismatch in snippet view article find links to article
White Paper, Fios, Inc. Karypis, G., Han, E., Fast Supervised Dimensionality Reduction Algorithm with Applications to Document Categorization and Retrieval
Kernel Fisher discriminant analysis (3,615 words) [view diff] case mismatch in snippet view article find links to article
Discriminant Analysis in C# - C# code to perform KFD. Matlab Toolbox for Dimensionality Reduction - Includes a method for performing KFD. Handwriting Recognition
Carsen Stringer (1,661 words) [view diff] exact match in snippet view article find links to article
rodent visual cortex and she used a variety of machine learning and dimensionality reduction techniques to explore the network level mechanisms that give rise
Computational phylogenetics (7,799 words) [view diff] exact match in snippet view article find links to article
Multidimensional Scaling technique, so called Interpolative Joining to do dimensionality reduction to visualize the clustering result for the sequences in 3D, and
Cluster II (spacecraft) (10,521 words) [view diff] case mismatch in snippet view article
1029/2020JA028084. Bakrania, M.R.; Rae, I.J.; Walsh, A.P. (2020). "Using Dimensionality Reduction and Clustering Techniques to Classify Space Plasma Regimes". Front
Kanaka Rajan (2,155 words) [view diff] exact match in snippet view article find links to article
but detect individual features, Rajan treated the problem like a dimensionality reduction instead of the typical linear model approach. Rajan showed, using
Primate basal ganglia (7,546 words) [view diff] no match in snippet view article find links to article
Bar-Gad, I, Morris, G., Bergman, H. (2003) Information processing, dimensionality, reduction and reinforcement in the basal ganglia. Progr. Neurobiol. 71:
Axel Timmermann (7,150 words) [view diff] exact match in snippet view article find links to article
Quaternary Science Reviews 23 (20), 2219-2230, 2004 Nonlinear dimensionality reduction in climate data, AJ Gamez, CS Zhou, A Timmermann, J Kurths, Nonlinear
Coarse-grained modeling (2,377 words) [view diff] case mismatch in snippet view article find links to article
PMID 33466014. S2CID 231652939. Hummer G, Szabo A (July 2015). "Optimal Dimensionality Reduction of Multistate Kinetic and Markov-State Models". The Journal of
List of RNA-Seq bioinformatics tools (18,097 words) [view diff] exact match in snippet view article find links to article
and noise reduction for single cell RNA-seq experiments. ZIFA Dimensionality reduction for zero-inflated single-cell gene expression analysis. BPSC An
Patch-sequencing (6,426 words) [view diff] exact match in snippet view article find links to article
alone. Correlation based methods are sufficient for this step. Dimensionality reduction methods such as T-distributed stochastic neighbor embedding or
List of women in statistics (6,995 words) [view diff] exact match in snippet view article find links to article
Chiaromonte, Italian statistician, expert on statistical genetics and dimensionality reduction Marcia Ciol, Brazilian-American expert on comorbidity Constance