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Dimensionality reduction
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#	Item
21	Knowl Inf Syst DOIs10115REGULAR PAPER Density-preserving projections for large-scale local anomaly detection Add to Reading List Source URL: pmg.it.usyd.edu.au Language: English - Date: 2011-10-04 00:04:53 Statistics Dimension reduction Data mining Multivariate statistics Robust statistics Machine learning Outlier Local outlier factor Anomaly detection Principal component analysis Random sample consensus Dimensionality reduction
22	Dimensionality Reduction using Symbolic Regression Extended Abstract 1 Ilknur Icke1 Add to Reading List Source URL: eniac.cs.qc.cuny.edu Language: English - Date: 2011-03-10 09:53:03 Statistics Multivariate statistics Machine learning Data analysis Statistical classification Learning Dimension reduction Business intelligence Dimensionality reduction Principal component analysis Multidimensional scaling Data classification
23	Fast Optimization for t-SNE Laurens van der Maaten Department of Computer Science and Engineering, University of California, San Diego 9500 Gilman Drive, La Jolla, CA 92093, USA Pattern Recognition & Bioinformatics Lab, Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Multivariate statistics Numerical analysis Statistics Applied mathematics Dimension reduction T-distributed stochastic neighbor embedding Computational statistics Nonlinear dimensionality reduction Mathematical optimization Dimensionality reduction Deep learning Artificial neural network
24	I will discuss recent work on randomized algorithms for low-rank approximation and principal component analysis (PCA). The talk will focus on efforts that move beyond the extremely fast, but relatively crude approximatio Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Algebra Mathematics Multivariate statistics Numerical analysis Numerical linear algebra Iterative methods Dimension reduction Principal component analysis Singular value decomposition Stochastic optimization Nonlinear dimensionality reduction Sparse dictionary learning
25	Unsupervised Image Embedding Using Nonparametric Statistics Guobiao Mei University of California, Riverside Abstract Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2011-01-19 19:25:19 Mathematics Statistics Dimension reduction Topology Multivariate statistics Computational statistics Machine learning Dimension Nonlinear dimensionality reduction Isomap Semidefinite embedding Embedding
26	Affinity Learning via Self-diffusion for Image Segmentation and Clustering Bo Wang1 and Zhuowen Tu2,3 Department of Computer Science, University of Toronto 2 Microsoft Research Asia 3 Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2012-04-22 01:00:23 Algebra Mathematics Statistics Algebraic graph theory Multivariate statistics Geostatistics Machine learning Spectral clustering Image segmentation Nonlinear dimensionality reduction Cluster analysis Diffusion map
27	Semi-Supervised Dimensionality Reduction for Analyzing High-Dimensional Data with Constraints Su Yan∗∗ IBM Almaden Research Center, 650 Harry Rd San Jose, CA 95120, USA Sofien Bouaziz Add to Reading List Source URL: sofienbouaziz.com Language: English - Date: 2015-11-19 01:50:28 Algebra Mathematics Statistics Multivariate statistics Linear algebra Functional analysis Dimension reduction Geostatistics Kernel principal component analysis Nonlinear dimensionality reduction Principal component analysis Dimensionality reduction
28	Manifold learning algorithms aim to recover the underlying lowdimensional parametrization of the data using either local or global features. It is however widely recognized that the low dimensional parametrizations will Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Machine learning Cybernetics Learning Manifold Cognition Dimension reduction Multivariate statistics Cognitive science Nonlinear dimensionality reduction
29	Unsupervised Deep Embedding for Clustering Analysis Junyuan Xie University of Washington arXiv:1511.06335v2 [cs.LG] 24 May 2016 Add to Reading List Source URL: ai2-website.s3.amazonaws.com Language: English - Date: 2016-06-23 15:15:13 Machine learning Statistics Learning Cluster analysis Data analysis Multivariate statistics K-means clustering Feature learning Spectral clustering Deep learning Pattern recognition Dimensionality reduction
30	Linear-time Detection of Non-linear Changes in Massively High Dimensional Time Series Hoang-Vu Nguyen◦ Jilles Vreeken◦ Add to Reading List Source URL: eda.mmci.uni-saarland.de Language: English - Date: 2016-01-28 05:19:57 Statistics Multivariate statistics Machine learning Dimension reduction Principal component analysis Numerical analysis Dimensionality reduction Curse of dimensionality KullbackLeibler divergence Divergence Pattern recognition Normal distribution