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ICCV
2001
IEEE
16 years 8 months ago
Visual Servoing Invariant to Changes in Camera Intrinsic Parameters
This paper presents a new visual servoing scheme which is invariant to changes in camera intrinsic parameters. Current visual servoing techniques are based on the learning of a ref...
Ezio Malis
MICCAI
2007
Springer
16 years 7 months ago
Towards Subject-Specific Models of the Dynamic Heart for Image-Guided Mitral Valve Surgery
Abstract. Surgeons need a robust interventional system capable of providing reliable, real-time information regarding the position and orientation of the surgical targets and tools...
Cristian A. Linte, Marcin Wierzbicki, John Moore, ...
MICCAI
2005
Springer
16 years 7 months ago
Efficient Learning by Combining Confidence-Rated Classifiers to Incorporate Unlabeled Medical Data
Abstract. In this paper, we propose a new dynamic learning framework that requires a small amount of labeled data in the beginning, then incrementally discovers informative unlabel...
Weijun He, Xiaolei Huang, Dimitris N. Metaxas, Xia...
IPMI
2001
Springer
16 years 7 months ago
Spatio-temporal Covariance Model for Medical Images Sequences: Application to Functional MRI Data
Spatial and temporal correlations which affect the signal measured in functional MRI (fMRI) are usually not considered simultaneously (i.e., as non-independent random processes) in...
Frithjof Kruggel, Habib Benali, Mélanie P&e...
ICML
2005
IEEE
16 years 7 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