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We propose an ensemble approach using a discriminative learning algorithm, where each base learner is a discriminative multi-kernel-learning classifier, trained to learn an optimal combination of joint-based features.
Thus, the models' parameters are jointly optimized to minimize the overall misclassification error using a discriminative learning approach [25].
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The key benefit of using a discriminative model is to learn to distinguish between true and false candidates based on a Sanger validated ground truth, thereby reducing the false positive rate among predicted indels.
The scene classification is achieved by using a discriminative method (i.e., SVM or KNN).
The spikes were detected using a discriminative threshold; with a spike-sorting algorithm counting each spike only once (Figs. S2B C).
The feature transformed image will model the individual nuclei independently using a discriminative model.
Extracted multiple features are utilized within a discriminative learning framework for recognizing interactions between people.
Imorphics' algorithm is based on the active appearance model; ScrAutoProstate's algorithm is a region-specific hierarchical segmentation method using discriminative learning.
We apply a multi-layout feature encoding method to improve the staging performance using discriminative learning technique.
Lin et al. (2008) based their classifier on hidden Markov models (HMM) using discriminative learning.
A discriminative analysis of migraine without aura (vs. controls) also identified, using a machine learning classifier, the superior frontal gyrus as one of the most discriminative GM features [34].
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