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» Hierarchical Structuring of Data on Manifolds
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ISMB
1997
13 years 10 months ago
Hierarchical Protein Structure Superposition Using Both Secondary Structure and Atomic Representations
The structural comparison of proteins has become increasingly important as a means to identify protein motifs and fold families. In this paper we present a new algorithm for the c...
Amit Pal Singh, Douglas L. Brutlag
SIBGRAPI
2000
IEEE
14 years 10 days ago
Semi-Regular 4-8 Refinement and Box Spline Surfaces
Abstract. In this paper we introduce a new mesh refinement method for subdivision surfaces. It generates a semiregular 4-direction hierarchical structure from control meshes repres...
Luiz Velho
NIPS
2004
13 years 10 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, ...
ICCV
2007
IEEE
14 years 3 months ago
Laplacian PCA and Its Applications
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
Deli Zhao, Zhouchen Lin, Xiaoou Tang
APIN
2000
87views more  APIN 2000»
13 years 8 months ago
The Architecture and Performance of a Stochastic Competitive Evolutionary Neural Tree Network
: A new dynamic tree structured network - the Stochastic Competitive Evolutionary Neural Tree (SCENT) is introduced. The network is able to provide a hierarchical classification of...
Neil Davey, Rod Adams, Stella J. George