Home
About
Advanced Search
Browse by Discipline
Scientific Societies
E-print Alerts
Add E-prints
FAQ
•
HELP
•
SITE MAP
•
CONTACT US
Search
Advanced Search
Ek, Carl Henrik - Machine Learning and Computer Vision, Royal Institute of Technology, Sweden (KTH)
Introduction Binary Labeling Flow Networks Binary Labeling and Flow Networks Algorithms Graph Cuts: Max-Flow/Min-Cut
Shared GP-LVM Models Carl Henrik Ek
Exploring Affordances in Robot Grasping through Latent Structure Representation
Gaussian Process Latent Variable Models For Human Pose Estimation
Ambiguity Modeling in Latent Spaces Carl Henrik Ek1
GP-LVM for Data Consolidation Carl Henrik Ek
Factorized Orthogonal Latent Spaces Mathieu Salzmann Carl Henrik Ek Raquel Urtasun Trevor Darrell
Learning Conditional Structures in Graphical Models from a Large Set of Observation Streams through efficient Discretisation
Task Modeling in Imitation Learning using Latent Variable Models Carl Henrik Ek, Dan Song, Kai Huebner and Danica Kragic
FOLS: Factorized Orthogonal Latent Spaces Mathieu Salzmann1
Shared Gaussian Process Latent Variable Models
Introduction Dimensionality Reduction Feature Modelling Structure Conclusions References Graphical Models in Grasping
Shared Gaussian Process Latent Variable Carl Henrik Ek Philip H. S. Torr Neil D. Lawrence
Dimensionality Carl Henrik Ek
Shared Gaussian Process Latent Variable Models Handling Ambiguous Facial Expressions
Multivariate Discretization for Bayesian Network Structure Learning in Robot Grasping
