Sciweavers

181 search results - page 3 / 37
» Least-Squares Conditional Density Estimation
Sort
View
ICASSP
2009
IEEE
13 years 11 months ago
Analyzing Least Squares and Kalman Filtered Compressed Sensing
In recent work, we studied the problem of causally reconstructing time sequences of spatially sparse signals, with unknown and slow time-varying sparsity patterns, from a limited ...
Namrata Vaswani
IJPRAI
1998
100views more  IJPRAI 1998»
13 years 4 months ago
Obtaining The Correspondence between Bayesian and Neural Networks
We present in this paper a novel method for eliciting the conditional probability matrices needed for a Bayesian network with the help of a neural network. We demonstrate how we c...
Athena Stassopoulou, Maria Petrou
CG
2004
Springer
13 years 4 months ago
Point cloud surfaces using geometric proximity graphs
We present a new definition of an implicit surface over a noisy point cloud, based on the weighted least squares approach. It can be evaluated very fast, but artifacts are signifi...
Jan Klein, Gabriel Zachmann
INFORMATICALT
1998
126views more  INFORMATICALT 1998»
13 years 4 months ago
On Local Bandwidth Selection for Density Estimation
This article gives ideas for developing statistics software which can work without user intervention. Some popular methods of bandwidth selection for kernel density estimation (the...
Rimantas Rudzkis, Mindaugas Kavaliauskas
ML
2012
ACM
388views Machine Learning» more  ML 2012»
12 years 14 days ago
Statistical analysis of kernel-based least-squares density-ratio estimation
The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...
Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama