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VISUALIZATION
2003
IEEE
14 years 3 months ago
High Dimensional Direct Rendering of Time-Varying Volumetric Data
Jonathan Woodring, Chaoli Wang, Han-Wei Shen
ICDM
2002
IEEE
191views Data Mining» more  ICDM 2002»
14 years 2 months ago
Iterative Clustering of High Dimensional Text Data Augmented by Local Search
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
Inderjit S. Dhillon, Yuqiang Guan, J. Kogan
ICANN
2009
Springer
14 years 2 months ago
Empirical Study of the Universum SVM Learning for High-Dimensional Data
Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
Vladimir Cherkassky, Wuyang Dai
STACS
2009
Springer
14 years 2 months ago
Almost-Uniform Sampling of Points on High-Dimensional Algebraic Varieties
We consider the problem of uniform sampling of points on an algebraic variety. Specifically, we develop a randomized algorithm that, given a small set of multivariate polynomials ...
Mahdi Cheraghchi, Amin Shokrollahi
ICCS
2001
Springer
14 years 2 months ago
Parallel High-Dimensional Integration: Quasi-Monte Carlo versus Adaptive Cubature Rules
Abstract Parallel algorithms for the approximation of a multi-dimensional integral over an hyper-rectangular region are discussed. Algorithms based on quasi-Monte Carlo techniques ...
Rudolf Schürer