In this paper, we present a novel score space that capture the generative process encoding it in an entropic feature vector. In this way, both uncertainty in ...

for all datasets are shown in Table 1 and confirm that discriminative methods outperform generative classification, but the same discriminative method (SVM).

In this paper, we present a novel score space that capture the generative process encoding it in an entropic feature vector. In this way, both uncertainty in ...

In this paper, we present a novel score space that capture the generative process encoding it in an entropic feature vector. In this way, both uncertainty in ...

These experiments aim to show how the proposed features bring generative in- formation to the discriminative classifiers boosting the classification accuracies.

Dec 1, 2022 · A new generative feature set based on entropy distance for discriminative classification (2009). Authors: Perina, Alessandro; Cristani, Marco; ...

A New Generative Feature Set Based on Entropy Distance for Discriminative Classification · Computer Science. ICIAP · 2009.

... A new generative feature set based on entropy distance for discriminative classification. In: Proc. Int. Conf. on Image Analysis and Processing, pp. 199-208 ...

A maximum-entropy approach to generative similarity-based classifiers model is proposed. First, a descriptive set of similarity statistics is assumed to be ...

Apr 19, 2024 · This paper proposes GDPNet, the first hybrid Generative and Discriminative PointNet that extends JEM for point cloud classification and ...