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» A Preference Model for Structured Supervised Learning Tasks
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MICCAI
2006
Springer
15 years 10 months ago
Spline-Based Probabilistic Model for Anatomical Landmark Detection
Abstract. In medical imaging, finding landmarks that provide biologically meaningful correspondences is often a challenging and time-consuming manual task. In this paper we propose...
Camille Izard, Bruno Jedynak, Craig E. L. Stark
ICML
2005
IEEE
15 years 10 months ago
Learning first-order probabilistic models with combining rules
Many real-world domains exhibit rich relational structure and stochasticity and motivate the development of models that combine predicate logic with probabilities. These models de...
Sriraam Natarajan, Prasad Tadepalli, Eric Altendor...
ICML
1996
IEEE
15 years 10 months ago
Learning Goal Oriented Bayesian Networks for Telecommunications Risk Management
This paper discusses issues related to Bayesian network model learning for unbalanced binary classification tasks. In general, the primary focus of current research on Bayesian ne...
Kazuo J. Ezawa, Moninder Singh, Steven W. Norton
ECCV
2008
Springer
15 years 11 months ago
Latent Pose Estimator for Continuous Action Recognition
Recently, models based on conditional random fields (CRF) have produced promising results on labeling sequential data in several scientific fields. However, in the vision task of c...
Huazhong Ning, Wei Xu, Yihong Gong, Thomas S. Huan...
CVPR
2010
IEEE
15 years 6 months ago
Modeling Mutual Context of Object and Human Pose in Human-Object Interaction Activities
Detecting objects in cluttered scenes and estimating articulated human body parts are two challenging problems in computer vision. The difficulty is particularly pronounced in ac...
Bangpeng Yao, Li Fei-Fei