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» Probabilistic Object Tracking Using Multiple Features
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ECAI
2010
Springer
15 years 4 days ago
Continuous Conditional Random Fields for Regression in Remote Sensing
Conditional random fields (CRF) are widely used for predicting output variables that have some internal structure. Most of the CRF research has been done on structured classificati...
Vladan Radosavljevic, Slobodan Vucetic, Zoran Obra...
122
Voted
ICCV
2007
IEEE
16 years 4 months ago
Gradient Feature Selection for Online Boosting
Boosting has been widely applied in computer vision, especially after Viola and Jones's seminal work [23]. The marriage of rectangular features and integral-imageenabled fast...
Ting Yu, Xiaoming Liu 0002
CRV
2011
IEEE
305views Robotics» more  CRV 2011»
14 years 1 months ago
Motion Segmentation by Learning Homography Matrices from Motor Signals
—Motion information is an important cue for a robot to separate foreground moving objects from the static background world. Based on the observation that the motion of the backgr...
Changhai Xu, Jingen Liu, Benjamin Kuipers
158
Voted
ECCV
2010
Springer
15 years 7 months ago
Robust Multi-View Boosting with Priors
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....
136
Voted
HAPTICS
2003
IEEE
15 years 7 months ago
Dynamic Local Models for Stable Multi-Contact Haptic Interaction with Deformable Objects
This paper describes a new technique for allowing multiple users to haptically interact with a set of deformable slowly-simulated objects in a stable manner. Stability has been ap...
Federico Barbagli, John Kenneth Salisbury Jr., Dom...