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» Dimensionality reduction and generalization
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FOCS
2000
IEEE
14 years 1 months ago
Stable Distributions, Pseudorandom Generators, Embeddings and Data Stream Computation
In this article, we show several results obtained by combining the use of stable distributions with pseudorandom generators for bounded space. In particular: —We show that, for a...
Piotr Indyk
SIGMOD
2000
ACM
165views Database» more  SIGMOD 2000»
14 years 1 months ago
Finding Generalized Projected Clusters In High Dimensional Spaces
High dimensional data has always been a challenge for clustering algorithms because of the inherent sparsity of the points. Recent research results indicate that in high dimension...
Charu C. Aggarwal, Philip S. Yu
WSCG
2004
239views more  WSCG 2004»
13 years 10 months ago
General n-Dimensional Rotations
This paper presents a generalized approach for performing general rotations in the n-Dimensional Euclidean space around any arbitrary (n-2)-Dimensional subspace. It first shows th...
Antonio Aguilera, Ricardo Pérez-Aguila
BMVC
2010
13 years 6 months ago
Iterative Hyperplane Merging: A Framework for Manifold Learning
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
Harry Strange, Reyer Zwiggelaar
GBRPR
2005
Springer
14 years 2 months ago
Pyramids of n-Dimensional Generalized Maps
Graph pyramids are often used for representing irregular image pyramids. For the 2D case, combinatorial pyramids have been recently defined in order to explicitly represent more ...
Carine Grasset-Simon, Guillaume Damiand, Pascal Li...