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» Hierarchical Structuring of Data on Manifolds
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ICMCS
2005
IEEE
79views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Supervised semi-definite embedding for image manifolds
Semi-definite Embedding (SDE) has been a recently proposed to maximize the sum of pair wise squared distances between outputs while the input data and outputs are locally isometri...
Benyu Zhang, Jun Yan, Ning Liu, QianSheng Cheng, Z...
NIPS
2007
13 years 10 months ago
Random Projections for Manifold Learning
We propose a novel method for linear dimensionality reduction of manifold modeled data. First, we show that with a small number M of random projections of sample points in RN belo...
Chinmay Hegde, Michael B. Wakin, Richard G. Barani...
IWVF
2001
Springer
14 years 1 months ago
The Shock Scaffold for Representing 3D Shape
The usefulness of the 3D Medial Axis (MA) is dependent on both the availability of accurate and stable methods for computing individual MA points and on schemes for deriving the l...
Frederic F. Leymarie, Benjamin B. Kimia
PARMA
2004
114views Database» more  PARMA 2004»
13 years 10 months ago
PatManQL: A Language to Manipulate Patterns and Data in Hierarchical Catalogs
Hierarchical structures and catalogs is a way to organize and enrich semantically the available information in the Web. From simple tree-like structures with syntactic constraints ...
Panagiotis Bouros, Theodore Dalamagas, Timos K. Se...
EDBT
2004
ACM
145views Database» more  EDBT 2004»
14 years 9 months ago
CUBE File: A File Structure for Hierarchically Clustered OLAP Cubes
Abstract. Hierarchical clustering has been proved an effective means for physically organizing large fact tables since it reduces significantly the I/O cost during ad hoc OLAP quer...
Nikos Karayannidis, Timos K. Sellis, Yannis Kouvar...