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ALGORITHMICA
2004
74views more  ALGORITHMICA 2004»
13 years 11 months ago
Three-Dimensional Layers of Maxima
Abstract. We present an O(n log n)-time algorithm to solve the threedimensional layers-of-maxima problem, an improvement over the prior O(n log n log log n)-time solution. A previo...
Adam L. Buchsbaum, Michael T. Goodrich
PAMI
2007
102views more  PAMI 2007»
13 years 10 months ago
Feature Subset Selection and Ranking for Data Dimensionality Reduction
—A new unsupervised forward orthogonal search (FOS) algorithm is introduced for feature selection and ranking. In the new algorithm, features are selected in a stepwise way, one ...
Hua-Liang Wei, Stephen A. Billings
ACMACE
2008
ACM
14 years 1 months ago
Dimensionality reduced HRTFs: a comparative study
Dimensionality reduction is a statistical tool commonly used to map high-dimensional data into lower a dimensionality. The transformed data is typically more suitable for regressi...
Bill Kapralos, Nathan Mekuz, Agnieszka Kopinska, S...
PAMI
1998
84views more  PAMI 1998»
13 years 10 months ago
Intrinsic Dimensionality Estimation With Optimally Topology Preserving Maps
A new method for analyzing the intrinsic dimensionality (ID) of low dimensional manifolds in high dimensional feature spaces is presented. The basic idea is to rst extract a low-d...
Jörg Bruske, Gerald Sommer
CVPR
2008
IEEE
15 years 1 months ago
Dimensionality reduction using covariance operator inverse regression
We consider the task of dimensionality reduction for regression (DRR) whose goal is to find a low dimensional representation of input covariates, while preserving the statistical ...
Minyoung Kim, Vladimir Pavlovic