Sciweavers

254 search results - page 16 / 51
» Filtered Gaussian Processes for Learning with Large Data-Set...
Sort
View
163
Voted
CVPR
2007
IEEE
16 years 5 months ago
What makes a good model of natural images?
Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non G...
Yair Weiss, William T. Freeman
277
Voted
ECCV
2004
Springer
16 years 5 months ago
A Boosted Particle Filter: Multitarget Detection and Tracking
The problem of tracking a varying number of non-rigid objects has two major difficulties. First, the observation models and target distributions can be highly non-linear and non-Ga...
Kenji Okuma, Ali Taleghani, Nando de Freitas, Jame...
155
Voted

Publication
170views
15 years 2 months ago
Covariance Regularization for Supervised Learning in High Dimensions
This paper studies the effect of covariance regularization for classific ation of high-dimensional data. This is done by fitting a mixture of Gaussians with a regularized covaria...
Daniel L. Elliott, Charles W. Anderson, Michael Ki...
143
Voted
ICDE
2008
IEEE
204views Database» more  ICDE 2008»
15 years 10 months ago
Parallel Distributed Processing of Constrained Skyline Queries by Filtering
— Skyline queries are capable of retrieving interesting points from a large data set according to multiple criteria. Most work on skyline queries so far has assumed a centralized...
Bin Cui, Hua Lu, Quanqing Xu, Lijiang Chen, Yafei ...
126
Voted
AIME
2009
Springer
15 years 8 months ago
Prediction of Mechanical Lung Parameters Using Gaussian Process Models
Abstract. Mechanical ventilation can cause severe lung damage by inadequate adjustment of the ventilator. We introduce a Machine Learning approach to predict the pressure-dependent...
Steven Ganzert, Stefan Kramer, Knut Möller, D...