Oct 28, 2018 · Abstract: In this paper, we propose two kinds of feature extracting frameworks that can extract cascaded class-specific and class-mixture ...
From Class-Specific to Class-Mixture: Cascaded Feature Representations via Restricted Boltzmann Machine Learning · Figures and Tables · Topics · 7 Citations · 44 ...
: From Class-Specific to Class-Mixture: Cascaded Feature Representations via RBM Learning. FIGURE 1. The diagram of RBM. FIGURE 2. Illustration of samples ...
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In this paper, we present a hybrid third-order Restricted Boltzmann Machine in which class-relevant features (for recognizing) and class-irrelevant features ( ...
From Class-Specific to Class-Mixture: Cascaded Feature Representations via Restricted Boltzmann Machine Learning · Coarse and fine learning in deep networks · A ...
In this paper, we propose two kinds of feature extracting frameworks that can extract cascaded Class-Specific and Class-Mixture features respectively, ...
Aug 12, 2021 · In this approach, each of the selected DFs represented by a set of 150 RBM components, only needed two simple class labels as training targets, ...
Missing: Mixture: via
Dec 17, 2018 · The generative property of the Restricted Boltzmann Machine is used to reconstruct eliminated features and calculate reconstructed errors, in ...
Missing: Mixture: | Show results with:Mixture:
In this thesis, we present a method for learning problem-specific hierarchical features spe- cialized for vision applications. Recently, a greedy layerwise ...
Missing: Mixture: | Show results with:Mixture:
Jul 1, 2020 · In this paper, we introduce an approach to determine the number of hidden layers and neurons of the deep network automatically during the ...
Missing: Mixture: via