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» Local Smoothing for Manifold Learning
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SMA
2008
ACM
140views Solid Modeling» more  SMA 2008»
14 years 9 months ago
GPU conversion of quad meshes to smooth surfaces
We convert any quad manifold mesh into an at least C1 surface consisting of bi-cubic tensor-product splines with localized perturbations of degree bi-5 near non-4-valent vertices....
Ashish Myles, Young In Yeo, Jörg Peters
IBPRIA
2007
Springer
15 years 3 months ago
Progressive Compression of Geometry Information with Smooth Intermediate Meshes
We present a new geometry compression algorithm for manifold 3D meshes based on octree coding. For a given mesh, regular volume grids are built with an adaptive octree. For each gr...
Taejung Park, Haeyoung Lee, Chang-hun Kim
NIPS
2008
14 years 11 months ago
Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm
We study the convergence and the rate of convergence of a local manifold learning algorithm: LTSA [13]. The main technical tool is the perturbation analysis on the linear invarian...
Andrew Smith, Xiaoming Huo, Hongyuan Zha
NIPS
2007
14 years 11 months ago
Regularized Boost for Semi-Supervised Learning
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
Ke Chen 0001, Shihai Wang
NIPS
2004
14 years 11 months ago
Proximity Graphs for Clustering and Manifold Learning
Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as...
Miguel Á. Carreira-Perpiñán, ...