Isomap - PDFSEARCH.IO - Document Search Engine

Isomap
Results: 61

#	Item
51	Distance functions on random geometric graphs uniform density. If we build an unweighted kNN graph based on this data and apply Isomap to recover the point configuration, we get the figure on the right. Obviously, it is Add to Reading List Source URL: www.is.tuebingen.mpg.de Language: English - Date: 2012-12-21 09:36:16 Graph Shortest path problem Distance Median graph Graph theory Mathematics Theoretical computer science
52	INTERSPEECH[removed]Graph-Embedding for Speaker Recognition Zahi N. Karam1,2, William M. Campbell2 1 DSPG, RLE at MIT, Cambridge, MA Add to Reading List Source URL: www.ll.mit.edu Language: English - Date: 2010-11-05 11:02:41 Computational statistics Dimension reduction Isomap Topological graph theory Nonlinear dimensionality reduction Geodesic Graph embedding Manifold Nearest neighbor graph Graph theory Mathematics Statistics
53	"! # Add to Reading List Source URL: isomap.stanford.edu Language: Hungarian - Date: 2000-12-20 23:57:43
54	Author manuscript, published in "IEEE conf. on Computer Vision and Pattern Recognition, France (2012)" DOI : [removed]CVPR[removed]PCCA: A New Approach for Distance Learning from Sparse Pairwise Constraints Alexis Mi Add to Reading List Source URL: hal.archives-ouvertes.fr Language: English - Date: 2013-03-29 07:35:03 Multivariate statistics Nonlinear dimensionality reduction Isomap Kernel trick Dimension reduction Support vector machine Distance Multidimensional scaling Vector space Statistics Algebra Mathematics
55	REPORTS 23; right 36, 13, and 27); superior frontal gyrus (left ⫺9, 31, and 45; right 17, 35, and 37). Add to Reading List Source URL: web.mit.edu Language: English - Date: 2003-02-18 22:00:29 Computational statistics Isomap Nonlinear dimensionality reduction Multidimensional scaling Principal component analysis Manifold Geodesic Differentiable manifold Topological manifold Statistics Multivariate statistics Dimension reduction
56	Parametric Embedding for Class Visualization Tomoharu Iwata Kazumi Saito Add to Reading List Source URL: web.mit.edu Language: English - Date: 2006-09-12 01:07:27 Functions and mappings Computational statistics Dimension reduction Statistical classification Isomap Nonlinear dimensionality reduction Supervised learning Embedding Naive Bayes classifier Mathematics Statistics Abstract algebra
57	Learning of motor maps from perception: a dimensionality reduction approach Ankit Awasthi, Sadbodh Sharma, Amitabha Mukerjee (aawasthi, sadbodh, [removed]) Department of Computer Science and Engineering, IIT Ka Add to Reading List Source URL: www.cse.iitk.ac.in Language: English - Date: 2012-05-06 05:53:02 Dimension reduction Multivariate statistics Differential topology Computational statistics Dimension Nonlinear dimensionality reduction Isomap Manifold Motion planning Statistics Mathematics Topology
58	Virtual Landmarks for the Internet Liying Tang Add to Reading List Source URL: conferences.sigcomm.org Language: English - Date: 2003-12-04 15:13:56 Mathematics Metric geometry Topology Market research Multidimensional scaling Psychometrics Metric space Isomap Statistics Geometry Multivariate statistics
59	PDF Document Add to Reading List Source URL: www-clmc.usc.edu Language: English - Date: 2004-04-04 07:03:40 Computational statistics Isomap Nonlinear dimensionality reduction Multidimensional scaling Principal component analysis Manifold Geodesic Topological manifold Differentiable manifold Statistics Multivariate statistics Dimension reduction
60	PDF Document Add to Reading List Source URL: axon.cs.byu.edu Language: English - Date: 2008-04-17 18:40:11 Dimension Nonlinear dimensionality reduction Computational statistics Isomap Manifold Principal component analysis K-nearest neighbor algorithm Semidefinite embedding Manifold alignment Statistics Multivariate statistics Dimension reduction

UPDATE