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158
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CVPR
2008
IEEE
16 years 5 months ago
Learning Bayesian Networks with qualitative constraints
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
Yan Tong, Qiang Ji
MIR
2005
ACM
198views Multimedia» more  MIR 2005»
15 years 9 months ago
Semi-automatic video annotation based on active learning with multiple complementary predictors
In this paper, we will propose a novel semi-automatic annotation scheme for video semantic classification. It is well known that the large gap between high-level semantics and low...
Yan Song, Xian-Sheng Hua, Li-Rong Dai, Meng Wang
ICA
2010
Springer
15 years 4 months ago
Binary Sparse Coding
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...
Marc Henniges, Gervasio Puertas, Jörg Bornsch...
PR
2006
117views more  PR 2006»
15 years 3 months ago
On transforming statistical models for non-frontal face verification
: We address the pose mismatch problem which can occur in face verification systems that have only a single (frontal) face image available for training. In the framework of a Bayes...
Conrad Sanderson, Samy Bengio, Yongsheng Gao
138
Voted
IJCV
2002
240views more  IJCV 2002»
15 years 3 months ago
Self-Calibration of Rotating and Zooming Cameras
In this paper we describe the theory and practice of self-calibration of cameras which are fixed in location and may freely rotate while changing their internal parameters by zoomi...
Lourdes de Agapito, Eric Hayman, Ian D. Reid