Sciweavers

206 search results - page 18 / 42
» Learning Parameterized Models of Image Motion
Sort
View
103
Voted
PAMI
2006
193views more  PAMI 2006»
14 years 11 months ago
A System for Learning Statistical Motion Patterns
Analysis of motion patterns is an effective approach for anomaly detection and behavior prediction. Current approaches for the analysis of motion patterns depend on known scenes, w...
Weiming Hu, Xuejuan Xiao, Zhouyu Fu, Dan Xie, Tien...
78
Voted
ACCV
2006
Springer
15 years 5 months ago
Tracking with the Kinematics of Extremal Contours
Abstract. This paper addresses the problem of articulated motion tracking from image sequences. We describe a method that relies on an explicit parameterization of the extremal con...
David Knossow, Rémi Ronfard, Radu Horaud, F...
ICPR
2002
IEEE
15 years 4 months ago
Motion Prediction Using VC-Generalization Bounds
This paper describes a novel application of Statistical Learning Theory (SLT) for motion prediction. SLT provides analytical VC-generalization bounds for model selection; these bo...
Harry Wechsler, Zoran Duric, Fayin Li, Vladimir Ch...
ICCV
1999
IEEE
15 years 4 months ago
Learning Low-Level Vision
We describe a learning-based method for low-level vision problems--estimating scenes from images. We generate a synthetic world of scenes and their corresponding rendered images, m...
William T. Freeman, Egon C. Pasztor
JMLR
2010
191views more  JMLR 2010»
14 years 6 months ago
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
We present a new estimation principle for parameterized statistical models. The idea is to perform nonlinear logistic regression to discriminate between the observed data and some...
Michael Gutmann, Aapo Hyvärinen