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» Robust Probabilistic Calibration
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ICML
2007
IEEE
16 years 4 months ago
Linear and nonlinear generative probabilistic class models for shape contours
We introduce a robust probabilistic approach to modeling shape contours based on a lowdimensional, nonlinear latent variable model. In contrast to existing techniques that use obj...
Graham McNeill, Sethu Vijayakumar
ICML
2005
IEEE
16 years 4 months ago
A smoothed boosting algorithm using probabilistic output codes
AdaBoost.OC has shown to be an effective method in boosting "weak" binary classifiers for multi-class learning. It employs the Error Correcting Output Code (ECOC) method...
Rong Jin, Jian Zhang
CVPR
2010
IEEE
16 years 16 days ago
Probabilistic 3D Occupancy Flow with Latent Silhouette Cues
In this paper we investigate shape and motion retrieval in the context of multi-camera systems. We propose a new lowlevel analysis based on latent silhouette cues, particularly su...
Li Guan, Jean-Sebastien Franco, Edmond Boyer, Marc...
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GLOBECOM
2007
IEEE
15 years 10 months ago
Probabilistic-Based Rate Adaptation for IEEE 802.11 WLANs
— Collision awareness has been recognized as a critical component for effective rate adaptation schemes. Recently, several collision-aware rate adaptation schemes have been propo...
Xi Chen, Daji Qiao, Jeonggyun Yu, Sunghyun Choi
CIKM
2007
Springer
15 years 10 months ago
Parameter sensitivity in the probabilistic model for ad-hoc retrieval
The term frequency normalisation parameter sensitivity is an important issue in the probabilistic model for Information Retrieval. A high parameter sensitivity indicates that a sl...
Ben He, Iadh Ounis