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Song Cao, Noah Snavely: Graph-Based Discriminative Learning for Location Recognition.
The concatenated feature vector is further fed into a hinge-loss SVM detector in a joint discriminative learning manner and the final saliency score of each region within the bounding box is obtained by the linear combination of the detector's weights.
Most recently, discriminative learning approaches had been developed to learn proper priors for better estimating blur kernel [22 25].
The MLE approach is not adequate, and more discriminative learning techniques such as genetic algorithms [23] or simulated annealing optimization [24] are needed to address the multimodality.
Finally, newborn neurons should be preferentially activated in hippocampal functions dependent on the dentate gyrus, such as pattern separation, as well as in discriminative learning tasks involving visual discrimination or spatial learning [28], [29].
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.
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Further, a new discriminative dictionary learning algorithm is designed for learning a dictionary from training samples to enhance the discriminative capability of its coding vectors.
DDLC in- corporates discriminative distance learning and dual-level local coding into the basis model of locality-constrained linear coding thus achieves higher discriminative capability.
We provide a new insight on discriminative dictionary learning.
A discriminative dictionary learning approach is introduced, which improves the SRC classification performance.
The paper presents a supervised discriminative dictionary learning algorithm specially designed for classifying HEp-2 cell patterns.
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