657 search results - page 85 / 132 » Scaling-Up Support Vector Machines Using Boosting Algorithm |
133
Voted
KDD
2002
ACM
16 years 2 months ago
2002
ACM
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
116
Voted
CIVR
2006
Springer
15 years 6 months ago
2006
Springer
The problem of face detection remains challenging because faces are non-rigid objects that have a high degree of variability with respect to head rotation, illumination, facial exp...
134
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AIRS
2006
Springer
15 years 6 months ago
2006
Springer
One of the main challenges in content-based image retrieval still remains to bridge the gap between low-level features and semantic information. In this paper, we present our first...
116
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ICPR
2010
IEEE
15 years 4 months ago
2010
IEEE
Training datasets for object detection problems are typically very large and Support Vector Machine (SVM) implementations are computationally complex. As opposed to these complex ...
130
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NN
2008
Springer
15 years 2 months ago
2008
Springer
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...