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» Combining Classifiers based on Confidence Values
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JMLR
2006
107views more  JMLR 2006»
13 years 6 months ago
Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss
The consistency of classification algorithm plays a central role in statistical learning theory. A consistent algorithm guarantees us that taking more samples essentially suffices...
Di-Rong Chen, Tao Sun
ICML
2004
IEEE
14 years 7 months ago
Boosting margin based distance functions for clustering
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
CVPR
2004
IEEE
14 years 8 months ago
3D Facial Tracking from Corrupted Movie Sequences
In this paper we perform 3D face tracking on corrupted video sequences. We use a deformable model, combined with a predictive filter, to recover both the rigid transformations and...
Siome Goldenstein, Christian Vogler, Dimitris N. M...
WETICE
2006
IEEE
14 years 21 days ago
Security Verification Techniques Applied to PatchLink COTS Software
Verification of the security of software artifacts is a challenging task. An integrated approach that combines verification techniques can increase the confidence in the security ...
David P. Gilliam, John D. Powell, Matt Bishop, Chr...
MICCAI
2000
Springer
13 years 10 months ago
Small Sample Size Learning for Shape Analysis of Anatomical Structures
We present a novel approach to statistical shape analysis of anatomical structures based on small sample size learning techniques. The high complexity of shape models used in medic...
Polina Golland, W. Eric L. Grimson, Martha Elizabe...