Previous work has shown that the difficulties in learning deep generative or discriminative models can be overcome by an initial unsupervised learning step that maps inputs to use...
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pi...
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
In this paper we investigate the use of a multimodal feature learning approach, using neural network based models such as Skip-gram and Denoising Autoencoders, to address sentiment...
Claudio Baecchi, Tiberio Uricchio, Marco Bertini, ...
In many applications, it is necessary to extract corresponding points automatically. In this study, we present a method of extracting corresponding points automatically from stere...
In this paper we present a generic content-based solution targeting at authenticating image in a semi-fragile way, which integrates watermarking-based approach with signature-base...