Sciweavers

CSDA
2007
110views more  CSDA 2007»
13 years 10 months ago
Bayesian modelling strategies for spatially varying regression coefficients: A multivariate perspective for multiple outcomes
This paper considers modelling spatially varying regression effects for multivariate mortality count outcomes. Alternative approaches to spatial regression heterogeneity are consi...
P. Congdon
CORR
2010
Springer
73views Education» more  CORR 2010»
13 years 11 months ago
Exponential Family Hybrid Semi-Supervised Learning
We present an approach to semi-supervised learning based on an exponential family characterization. Our approach generalizes previous work on coupled priors for hybrid generative/...
Arvind Agarwal, Hal Daumé III
UAI
2000
14 years 4 days ago
Tractable Bayesian Learning of Tree Belief Networks
In this paper we present decomposable priors, a family of priors over structure and parameters of tree belief nets for which Bayesian learning with complete observations is tracta...
Marina Meila, Tommi Jaakkola
UAI
2001
14 years 5 days ago
Markov Chain Monte Carlo using Tree-Based Priors on Model Structure
We present a general framework for defining priors on model structure and sampling from the posterior using the Metropolis-Hastings algorithm. The key ideas are that structure pri...
Nicos Angelopoulos, James Cussens
ECCV
2008
Springer
14 years 17 days ago
Active Matching
Abstract. In the matching tasks which form an integral part of all types of tracking and geometrical vision, there are invariably priors available on the absolute and/or relative i...
Margarita Chli, Andrew J. Davison
ECCV
2010
Springer
14 years 4 months ago
Gaussian-like Spatial Priors for Articulated Tracking
We present an analysis of the spatial covariance structure of an articulated motion prior in which joint angles have a known covariance structure. From this, a well-known, but ofte...
IDEAL
2005
Springer
14 years 4 months ago
Differential Priors for Elastic Nets
The elastic net and related algorithms, such as generative topographic mapping, are key methods for discretized dimension-reduction problems. At their heart are priors that specify...
Miguel Á. Carreira-Perpiñán, ...
CVPR
2010
IEEE
2187views Computer Vision» more  CVPR 2010»
14 years 7 months ago
3D Scene Priors for Road Detection
Vision-based road detection is important in different areas of computer vision such as autonomous driving, car collision warning and pedestrian crossing detection. However, curre...
Jose M. Alvarez, Theo Gevers, Antonio M. Lopez