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147
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CVPR
2010
IEEE
16 years 10 days ago
A Generative Perspective on MRFs in Low-Level Vision
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...
Uwe Schmidt, Qi Gao, Stefan Roth
121
Voted
ICTAI
2009
IEEE
15 years 10 months ago
EBLearn: Open-Source Energy-Based Learning in C++
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 ...
Pierre Sermanet, Koray Kavukcuoglu, Yann LeCun
149
Voted
ICPR
2008
IEEE
15 years 10 months ago
2D and 3D upper body tracking with one framework
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...
Lei Zhang, Jixu Chen, Zhi Zeng, Qiang Ji
WCNC
2008
IEEE
15 years 10 months ago
Integrated Source-Channel Decoding for Correlated Data-Gathering Sensor Networks
Abstract— This paper explores integrated source-channel decoding, driven by wireless sensor network applications where correlated information acquired by the network is gathered ...
Sheryl L. Howard, Paul G. Flikkema
ICCV
2007
IEEE
15 years 10 months ago
Deformable Template As Active Basis
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...
Ying Nian Wu, Zhangzhang Si, Chuck Fleming, Song C...