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» Discriminative Direction for Kernel Classifiers
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SSPR
2000
Springer
14 years 1 months ago
The Role of Combining Rules in Bagging and Boosting
To improve weak classifiers bagging and boosting could be used. These techniques are based on combining classifiers. Usually, a simple majority vote or a weighted majority vote are...
Marina Skurichina, Robert P. W. Duin
BMVC
2010
13 years 7 months ago
Label propagation in complex video sequences using semi-supervised learning
We propose a novel directed graphical model for label propagation in lengthy and complex video sequences. Given hand-labelled start and end frames of a video sequence, a variation...
Ignas Budvytis, Vijay Badrinarayanan, Roberto Cipo...
BIBM
2010
IEEE
156views Bioinformatics» more  BIBM 2010»
13 years 7 months ago
Truncation of protein sequences for fast profile alignment with application to subcellular localization
We have recently found that the computation time of homology-based subcellular localization can be substantially reduced by aligning profiles up to the cleavage site positions of s...
Man-Wai Mak, Wei Wang, Sun-Yuan Kung
ICPR
2006
IEEE
14 years 11 months ago
Robust Head Pose Estimation Using LGBP
In this paper, we introduce a novel discriminative feature which is efficient for pose estimation. The multi-view face representation is based on Local Gabor Binary Patterns(LGBP)...
Bingpeng Ma, Wenchao Zhang, Shiguang Shan, Xilin C...
CVPR
2010
IEEE
14 years 6 months ago
Sufficient Dimensionality Reduction for Visual Sequence Classification
When classifying high-dimensional sequence data, traditional methods (e.g., HMMs, CRFs) may require large amounts of training data to avoid overfitting. In such cases dimensional...
Alex Shyr, Raquel Urtasun, Michael Jordan