Sciweavers

494 search results - page 36 / 99
» Modeling and predicting pointing errors in two dimensions
Sort
View
ICRA
2010
IEEE
301views Robotics» more  ICRA 2010»
13 years 6 months ago
People tracking with human motion predictions from social forces
Abstract— For many tasks in populated environments, robots need to keep track of present and future motion states of people. Most approaches to people tracking make weak assumpti...
Matthias Luber, Johannes Andreas Stork, Gian Diego...
MASCOTS
2008
13 years 9 months ago
Profiling, Prediction, and Capping of Power Consumption in Consolidated Environments
Consolidation of workloads has emerged as a key mechanism to dampen the rapidly growing energy expenditure within enterprise-scale data centers. To gainfully utilize consolidation...
Jeonghwan Choi, Sriram Govindan, Bhuvan Urgaonkar,...
SIGGRAPH
1993
ACM
13 years 11 months ago
Mesh optimization
We present a method for solving the following problem: Given a set of data points scattered in three dimensions and an initial triangular mesh M0, produce a mesh M, of the same to...
Hugues Hoppe, Tony DeRose, Tom Duchamp, John Alan ...
DAGM
2010
Springer
13 years 8 months ago
Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
Hannes Nickisch, Carl Edward Rasmussen
SDM
2008
SIAM
144views Data Mining» more  SDM 2008»
13 years 9 months ago
Active Learning with Model Selection in Linear Regression
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens