180 search results - page 9 / 36 » Variational Inference for Diffusion Processes |
SDM
2008
SIAM
13 years 8 months ago
2008
SIAM
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
ECCV
2010
Springer
14 years 13 days ago
2010
Springer
Abstract. In this paper we propose a probabilistic framework that models shape variations and infers dense and detailed 3D shapes from a single silhouette. We model two types of sh...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Hawkes processes are used for modeling tick-by-tick variations of a single or of a pair of asset prices. For each asset, two counting processes (with stochastic intensities) are a...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
The Hidden Markov Model (HMM) has been widely used in many applications such as speech recognition. A common challenge for applying the classical HMM is to determine the structure...
ICIP
2002
IEEE
14 years 9 months ago
2002
IEEE
In this paper, we present a novel PDE based error concealment algorithm. We formulate the error concealment problem as a sequential optimization problem with both smoothing and or...