- Variational Message Passing and its Applications
- Microsoft Research Ltd. Cambridge, UK
- Discriminative Object Class Models of Appearance and Shape by Correlatons S. Savarese,
- Journal of Machine Learning Research 6 (2005) 661--694 Submitted 2/04; Revised 11/04; Published 4/05 Variational Message Passing
- Escaping local minima through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video
- IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VO0. 0, NO. 0, JANUARY 0000 1 Bilayer Segmentation of Webcam Videos Using
- Learning a generative model of images by factoring appearance and shape
- LOCUS: Learning Object Classes with Unsupervised Segmentation Microsoft Research, Cambridge, UK
- Hybrid learning of large jigsaws Julia Lasserre
- Application: Microarray Image In image analysis problems, there is uncertainty about the state of the system being imaged
- Inference in Graphical Models In an increasingly connected and automated world, machines that are capable of learning and
- Conclusions and Future Work In the introduction, I expressed the hope that the work in this thesis could be a `first step'
- Structured Variational Distributions
- 3D LayoutCRF for Multi-View Object Class Recognition and Segmentation Derek Hoiem
- Variational Message Passing and its Applications
- Application: Nonlinear Image The variational inference framework can be used to perform Bayesian inference in a very
- Exponential Family Distributions This appendix lists the exponential family distributions referred to in this thesis. Each dis-
- Variational Message Passing and its Applications
- Inference algorithms and learning theory for Bayesian sparse factor analysis
- Immune System Modeling with Infer.NET Vincent Y. F. Tan, John Winn, Angela Simpson, Adnan Custovic
- Epitomic Location Recognition Georgia Institute of Technology
- Accounting for Non-Genetic Factors Improves the Power of eQTL Studies
- Variational Message Passing and its Applications
- Structured Variational Distributions
- Nonlinear Bayesian Image Modelling Christopher M. Bishop 1 and John M. Winn 2
- Tree-based Classifiers for Bilayer Video Segmentation Antonio Criminisi2
- Located Hidden Random Fields: Learning Discriminative Parts for Object Detection
- Generative Affine Localisation and Tracking John Winn Andrew Blake
- Section: Algorithms and Architectures Preference: Oral (the talk will include a live demo)
- Gates: A graphical notation for mixture models Microsoft Research Ltd.
- Generative Affine Localisation and Tracking John Winn Andrew Blake
- A Variational Inference Variational methods have been applied successfully to a wide range of probabilistic models
- Non-linear Bayesian Image Modelling Christopher M. Bishop and John M. Winn
- A Variational Inference Variational methods have been applied successfully to a wide range of probabilistic models
- IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. , NO. , 2009 1 Epitomic Location Recognition
- Structured Variational Distributions in VIBES Christopher M. Bishop
- Application: Microarray Image In image analysis problems, there is uncertainty about the state of the system being imaged
- Clustering appearance and shape by learning jigsaws Anitha Kannan, John Winn, Carsten Rother
- Inference in Graphical Models In an increasingly connected and automated world, machines that are capable of learning and
- Incorporating On-demand Stereo for Real Time Recognition T. Deselaers1,2
- Application: Non-linear Image The variational inference framework can be used to perform Bayesian inference in a very
- BIOINFORMATICS Vol. 00 no. 00 2007
- Object Class Recognition at a Glance John Winn and Antonio Criminisi
- Exponential Family Distributions This appendix lists the exponential family distributions referred to in this thesis. Each dis
- Conclusions and Future Work In the introduction, I expressed the hope that the work in this thesis could be a `first step'
