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» Robust Probabilistic Calibration
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ICML
2007
IEEE
15 years 10 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
15 years 10 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
15 years 6 months 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...
GLOBECOM
2007
IEEE
15 years 4 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 4 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