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Nonlinear dimensionality reduction
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1	Journal of Machine Learning Research490 Submitted 4/09; Revised 12/09; Published 2/10 Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2017-07-22 15:40:19
2	PROBABILISTIC MODELING OF GENE REGULATORY NETWORKS FROM DATA Thesis submitted for the degree “Doctor of Philosophy” Add to Reading List Source URL: www.cs.huji.ac.il Language: English - Date: 2015-08-10 08:23:34 Statistics Networks Learning Systems science Statistical models Systems biology Machine learning Bayesian network Gene regulatory network Nir Friedman Gaussian process Nonlinear dimensionality reduction
3	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
4	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
5	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
6	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
7	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
8	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
9	Discussion of “Spectral Dimensionality Reduction via Maximum Entropy” Laurens van der Maaten Delft University of Technology Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Multivariate statistics Dimension reduction Computational statistics Machine learning Dimension Nonlinear dimensionality reduction Dimensionality reduction Isomap Semidefinite embedding Spectral clustering Kernel principal component analysis T-distributed stochastic neighbor embedding

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