595 search results - page 33 / 119 » A Density-Based Data Reduction Algorithm for Robust Estimato... |
NIPS
2004
13 years 9 months ago
2004
Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as...
UAI
2003
13 years 9 months ago
2003
This paper considers a method that combines ideas from Bayesian learning, Bayesian network inference, and classical hypothesis testing to produce a more reliable and robust test o...
ICCAD
2001
IEEE
14 years 4 months ago
2001
IEEE
—In this paper, we present an approach to nonlinear model reduction based on representing a nonlinear system with a piecewise-linear system and then reducing each of the pieces w...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
The geometric median is a classic robust estimator of centrality for data in Euclidean spaces. In this paper we formulate the geometric median of data on a Riemannian manifold as ...
ICC
2007
IEEE
14 years 2 months ago
2007
IEEE
— The design of ultra-wideband (UWB) impulse radio receivers has to cope with complex signal propagation environments with dense multipath fading, which complicate channel estima...