We consider the problem of automatically classifying videos into predefined categories based on the analysis of their audio contents.

Abstract. We consider the problem of automatically classifying videos into predefined categories based on the analysis of their audio contents. In detail,.

We consider the problem of automatically classifying videos into predefined categories based on the analysis of their audio contents. In detail, given a set ...

We consider the problem of automatically classifying videos into predefined categories based on the analysis of their audio contents.

Feb 6, 2024 · In this article, we propose a method to train a hybrid of discriminative and generative models in a single neural network (NN), which exhibits the ...

Abstract. We investigate whether dimensionality reduction using a latent generative model is beneficial for the task of weakly supervised scene classification.

We investigate whether dimensionality reduction using a latent generative model is beneficial for the task of weakly supervised scene classification.

The hybrid model design aims to leverage the strengths of both CNNs and RNNs, enhancing the system's ability to classify videos accurately by modeling spatial ...

Jun 8, 2008 · Abstract—We investigate whether dimensionality reduction using a latent generative model is beneficial for the task of weakly.

A hybrid algorithm for the recognition of classes of objects and concepts in images has been developed in [13] where a generative model is used to create a ...