Exact(14)
These methods train a discriminative classifier under the boosting framework.
The weak classifiers are updated with the obtained samples in the online boosting framework.
The tracking task is formulated as a binary classification via online boosting framework.
Sequential training could be investigated and combined with a boosting framework.
We propose a deep boosting framework based on layer-by-layer joint feature boosting and dictionary learning.
For more details on including backward removal or even a floating searching capability into the boosting framework, please refer to [24].
Similar(46)
Meanwhile, many methods are based on boosting cascade frameworks, and, as we know, almost all existing cascade frameworks are trained based on two conflicted criteria (false-positive-rate and hit-rate) for the detection-error tradeoff.
Li et al. [4] proposed a new learning SURF cascade for ameliorating boosting cascade frameworks.
Furthermore, a boosted detection framework rather than the complex DPM is adopted to achieve both high accuracy and efficiency.
In the reconstruction under the boosted cascade framework, only a few key features are selected by Boosting to conduct the reconstruction.
The proposed solutions serve as a framework for boosting the error resiliency of pre-encoded video and can be applied to MPEG-2, and H.264/AVC coded streams.
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