Sciweavers

303 search results - page 15 / 61
» Gaussian Process Change Point Models
Sort
View
82
Voted
IROS
2008
IEEE
123views Robotics» more  IROS 2008»
15 years 4 months ago
Learning predictive terrain models for legged robot locomotion
— Legged robots require accurate models of their environment in order to plan and execute paths. We present a probabilistic technique based on Gaussian processes that allows terr...
Christian Plagemann, Sebastian Mischke, Sam Prenti...
DICTA
2003
14 years 11 months ago
Background Modeling and Subtraction Using a Local-linear-dependence-based Cauchy Statistical Model
:Many motion object detection algorithms rely on the process of background subtraction, an important technique which is used for detecting changes from a model of the background ...
Ying Ming, Jingjue Jiang, Jun Ming
ICPR
2008
IEEE
15 years 4 months ago
Generative models for fingerprint individuality using ridge models
Generative models of pattern individuality attempt to learn the distribution of observed quantitative features to determine the probability of two random patterns being the same. ...
Chang Su, Sargur N. Srihari
HRI
2011
ACM
14 years 1 months ago
Learning to interpret pointing gestures with a time-of-flight camera
Pointing gestures are a common and intuitive way to draw somebody’s attention to a certain object. While humans can easily interpret robot gestures, the perception of human beha...
David Droeschel, Jörg Stückler, Sven Beh...
WSC
2007
14 years 12 months ago
Using flexible points in a developing simulation of selective dissolution in alloys
Coercion is a semi-automated simulation adaptation technology that uses subject-matter expert insight about model ion alternatives, called flexible points, to change the behavior...
Joseph C. Carnahan, Steven A. Policastro, Erin C. ...