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ICIP
2008
IEEE
15 years 11 months ago
Dynamic background modeling and subtraction using spatio-temporal local binary patterns
Traditional background modeling and subtraction methods have a strong assumption that the scenes are of static structures with limited perturbation. These methods will perform poo...
Shengping Zhang, Hongxun Yao, Shaohui Liu
DAGSTUHL
2004
15 years 6 months ago
Learning with Local Models
Next to prediction accuracy, the interpretability of models is one of the fundamental criteria for machine learning algorithms. While high accuracy learners have intensively been e...
Stefan Rüping
ROBOCUP
2007
Springer
180views Robotics» more  ROBOCUP 2007»
15 years 11 months ago
Improving Robot Self-localization Using Landmarks' Poses Tracking and Odometry Error Estimation
In this article the classical self-localization approach is improved by estimating, independently from the robot’s pose, the robot’s odometric error and the landmarks’ poses....
Pablo Guerrero, Javier Ruiz-del-Solar
ACL
2012
13 years 7 months ago
Unsupervised Semantic Role Induction with Global Role Ordering
We propose a probabilistic generative model for unsupervised semantic role induction, which integrates local role assignment decisions and a global role ordering decision in a uni...
Nikhil Garg, James Henserdon
ASSETS
2006
ACM
15 years 10 months ago
Interactive tracking of movable objects for the blind on the basis of environment models and perception-oriented object recognit
In previous work we have presented a prototype of an assistant system for the blind that can be used for self-localization and interactive object identification of static objects ...
Andreas Hub, Tim Hartter, Thomas Ertl