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CVPR
2005
IEEE
16 years 2 months ago
A Dynamic Conditional Random Field Model for Object Segmentation in Image Sequences
This paper presents a dynamic conditional random field (DCRF) model to integrate contextual constraints for object segmentation in image sequences. Spatial and temporal dependenci...
Qiang Ji, Yang Wang 0002
120
Voted
MICCAI
2003
Springer
16 years 1 months ago
A Biomechanical Model of the Liver for Reality-Based Haptic Feedback
: Biomechanical model of soft tissue for remote probing based on observed experimental data is critical for developing a reality-based model for minimally invasive surgical trainin...
Tie Hu, Jaydev P. Desai
118
Voted
CEC
2009
IEEE
15 years 7 months ago
Structure learning and optimisation in a Markov-network based estimation of distribution algorithm
—Structure learning is a crucial component of a multivariate Estimation of Distribution algorithm. It is the part which determines the interactions between variables in the proba...
Alexander E. I. Brownlee, John A. W. McCall, Siddh...
76
Voted
HAPTICS
2009
IEEE
15 years 7 months ago
Finger force of exploratory movements is adapted to the compliance of deformable objects
In this experiment we investigated the influence of stimulus properties on exploratory movement parameters in active touch. More precisely, we investigated whether and to what ex...
Lukas Kaim, Knut Drewing
FOCS
2007
IEEE
15 years 7 months ago
Reconstruction for Models on Random Graphs
Consider a collection of random variables attached to the vertices of a graph. The reconstruction problem requires to estimate one of them given ‘far away’ observations. Sever...
Antoine Gerschenfeld, Andrea Montanari