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» On the Optimality of the Dimensionality Reduction Method
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IDEAS
2006
IEEE
109views Database» more  IDEAS 2006»
16 years 11 days ago
Multi-dimensional Histograms with Tight Bounds for the Error
Histograms are being used as non-parametric selectivity estimators for one-dimensional data. For highdimensional data it is common to either compute onedimensional histograms for ...
Linas Baltrunas, Arturas Mazeika, Michael H. B&oum...
ICML
2006
IEEE
16 years 9 days ago
Automatic basis function construction for approximate dynamic programming and reinforcement learning
We address the problem of automatically constructing basis functions for linear approximation of the value function of a Markov Decision Process (MDP). Our work builds on results ...
Philipp W. Keller, Shie Mannor, Doina Precup
PKDD
2005
Springer
131views Data Mining» more  PKDD 2005»
15 years 11 months ago
ISOLLE: Locally Linear Embedding with Geodesic Distance
Locally Linear Embedding (LLE) has recently been proposed as a method for dimensional reduction of high-dimensional nonlinear data sets. In LLE each data point is reconstructed fro...
Claudio Varini, Andreas Degenhard, Tim W. Nattkemp...
3DPVT
2006
IEEE
190views Visualization» more  3DPVT 2006»
15 years 10 months ago
A Blind Source Separation Approach to Structure from Motion
We present an alternate approach to the problem of structure from motion (SfM) with noisy point measurements. With no information available about the joint density of three-dimens...
Jeff Fortuna, Aleix M. Martínez
ESANN
2007
15 years 7 months ago
Kernel PCA based clustering for inducing features in text categorization
We study dimensionality reduction or feature selection in text document categorization problem. We focus on the first step in building text categorization systems, that is the cho...
Zsolt Minier, Lehel Csató