3918 search results - page 580 / 784 » Probabilistic model of triangulation |
141
Voted
CVPR
2010
IEEE
15 years 12 months ago
2010
IEEE
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
113
Voted
ICTAI
2009
IEEE
15 years 10 months ago
2009
IEEE
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...
144
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ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
We propose a Dynamic Bayesian Network (DBN) model for upper body tracking. We first construct a Bayesian Network (BN) to represent the human upper body structure and then incorpo...
135
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WCNC
2008
IEEE
15 years 9 months ago
2008
IEEE
Abstract— This paper explores integrated source-channel decoding, driven by wireless sensor network applications where correlated information acquired by the network is gathered ...
124
Voted
ICCV
2007
IEEE
15 years 9 months ago
2007
IEEE
This article proposes an active basis model and a shared pursuit algorithm for learning deformable templates from image patches of various object categories. In our generative mod...