KI
2010
Springer
13 years 2 months ago
2010
Springer
The key task in probabilistic reasoning is to appropriately update one’s beliefs as one obtains new information in the form of evidence. In many application settings, however, th...
JCNS
2010
13 years 2 months ago
2010
State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
ICASSP
2010
IEEE
13 years 3 months ago
2010
IEEE
We consider Bayesian detection/classification of discrete random parameters that are strongly dependent locally due to some deterministic local constraint. Based on the recently ...
CP
2010
Springer
13 years 3 months ago
2010
Springer
Abstract. In this paper we consider the problem of computing the density of states of a Boolean formula in CNF, a generalization of both MAX-SAT and model counting. Given a Boolean...
PAMI
2007
13 years 4 months ago
2007
—Time-Correlated Single Photon Counting and Burst Illumination Laser data can be used for range profiling and target classification. In general, the problem is to analyze the res...
IVC
2008
13 years 4 months ago
2008
Reversible jump Markov chain Monte Carlo (RJMCMC) is a recent method which makes it possible to construct reversible Markov chain samplers that jump between parameter subspaces of...
TASLP
2002
13 years 4 months ago
2002
This paper applies time-varying autoregressive (TVAR) models with stochastically evolving parameters to the problem of speech modeling and enhancement. The stochastic evolution mod...
TWC
2008
13 years 4 months ago
2008
A low complexity user scheduling algorithm based on a novel adaptive Markov chain Monte Carlo (AMCMC) method is proposed to achieve the maximal sum capacity in an uplink multiple-i...
PAMI
2008
13 years 4 months ago
2008
In this article, we define and address the problem of finding the visual focus of attention for a varying number of wandering people (VFOA-W)
PAMI
2008
13 years 4 months ago
2008
Segmentation and tracking of multiple humans in crowded situations is made difficult by interobject occlusion. We propose a model-based approach to interpret the image observations...