1547 search results - page 119 / 310 » Learning a Classification Model for Segmentation |
100
Voted
ICPR
2006
IEEE
16 years 3 months ago
2006
IEEE
Current semi-supervised incremental learning approaches select unlabeled examples with predicted high confidence for model re-training. We show that for many applications this dat...
108
Voted
ESWA
2008
15 years 2 months ago
2008
In this study, a multistage neural network ensemble learning model is proposed to evaluate credit risk at the measurement level. The proposed model consists of six stages. In the ...
118
Voted
NIPS
2001
15 years 3 months ago
2001
We describe an algorithm for automatically learning discriminative components of objects with SVM classifiers. It is based on growing image parts by minimizing theoretical bounds ...
109
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JMLR
2010
14 years 9 months ago
2010
Some online algorithms for linear classification model the uncertainty in their weights over the course of learning. Modeling the full covariance structure of the weights can prov...
151
Voted
ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
We propose a novel semi-supervised method for building a statistical model that represents the relationship between sounds and text labels (“tags”). The proposed method, named...