Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP. Reference: X. Geng, D.-C. Zhan, and Z.-H. Zhou. Supervised nonlinear dimensionality reduction for visualization and classification. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2005, vol.35, no.6, pp.1098-1107.
標簽： Description supervised algorithm S-ISOMAP
上傳時間： 2015-04-10
上傳用戶：wfeel
mani: manifold learning demonstration GUI by Todd Wittman, Department of Mathematics, University of Minnesota E-mail wittman@math.umn.edu with comments & questions. MANI Website: httP://www.math.umn.edu/~wittman/mani/index.html Last Modified by GUIDE v2.5 10-Apr-2005 13:28:36 Methods obtained from various authors. (1) MDS -- Michael Lee (2) ISOMAP -- J. Tenenbaum, de Silva, & Langford (3) LLE -- Sam Roweis & Lawrence Saul (4) Hessian LLE -- D. Donoho & C. Grimes (5) Laplacian -- M. Belkin & P. Niyogi (6) Diffusion Map -- R. Coifman & S. Lafon (7) LTSA -- Zhenyue Zhang & Hongyuan Zha
標簽： demonstration Mathematics Department University
上傳時間： 2016-10-29
上傳用戶：youmo81
S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP.
標簽： supervised algorithm S-ISOMAP manifold
上傳時間： 2014-01-11
上傳用戶：lacsx
Semi-Supervised Discriminant Analysis (manifold Regularization Way)
標簽： Semi-Supervised Regularization Discriminant Analysis
上傳時間： 2014-11-29
上傳用戶：leixinzhuo
Functions are mappings from one manifold to another. Discrete Functions are functions which can be represented using a finite number of values. Given the finite extent of computer memory, algorithms which compute a function that satisfies some special properties are computing a discrete function which approximates a continuous function. Computing the function involves writing a set of equations that may be solved for the values representing the function.
標簽： Functions are functions Discrete
上傳時間： 2017-08-05
上傳用戶：671145514
國際會議上的關于人耳圖像識別的論文：Multi-view Ear Recognition Based on B-Spline Pose manifold Construction
標簽： Construction Recognition Multi-view B-Spline
上傳時間： 2013-12-17
上傳用戶：磊子226
這是我從網上下載到的Locally Linear Embedding(LLE)的Matlab代碼，希望對研究manifold Leanring的同事有所幫助。
標簽： Embedding Locally Linear Matlab
上傳時間： 2014-01-24
上傳用戶：nanfeicui
一個由Mike Gashler完成的機器學習方面的includes neural net, naive bayesian classifier, decision tree, KNN, a genetic algorithm, and some manifold learning algorithms.
標簽： classifier includes bayesian decision
上傳時間： 2015-09-11
上傳用戶：gaome
We describe and demonstrate an algorithm that takes as input an unorganized set of points fx1 xng IR3 on or near an unknown manifold M, and produces as output a simplicial surface that approximates M. Neither the topology, the presence of boundaries, nor the geometry of M are assumed to be known in advance — all are inferred automatically from the data. This problem naturally arises in a variety of practical situations such as range scanning an object from multiple view points, recovery of biological shapes from two-dimensional slices, and interactive surface sketching.
標簽： demonstrate unorganized algorithm describe
上傳時間： 2013-12-18
上傳用戶：xc216
The advent of modern wireless devices, such as smart phones and MID 1 terminals, has revolutionized the way people think of personal connectivity. Such devices encompass multiple applications ranging from voice and video to high-speed data transfer via wireless networks. The voracious appetite of twenty-first century users for supporting more wireless applications on a single device is ever increasing. These devices employ multiple radios and modems that cover multiple frequency bands and multiple standards with a manifold of wireless applications often running simultaneously.
標簽： Architectures Wireless Receiver Design and
上傳時間： 2020-06-01
上傳用戶：shancjb
