6 citations · 35 across the 25 of their papers we have counts for
7 papers · 1 filter
Cognitive Action Laws: The Case of Visual Features
Alessandro Betti, Marco Gori, Stefano Melacci
This paper proposes a theory for understanding perceptual learning processes within the general framework of laws of nature. Neural networks are regarded as systems whose connectio…
Backpropagation and Biological Plausibility
Alessandro Betti, Marco Gori, Giuseppe Marra
By and large, Backpropagation (BP) is regarded as one of the most important neural computation algorithms at the basis of the progress in machine learning, including the recent adv…
Motion Invariance in Visual Environments
Alessandro Betti, Marco Gori, Stefano Melacci
The puzzle of computer vision might find new challenging solutions when we realize that most successful methods are working at image level, which is remarkably more difficult than…
Generalization in quasi-periodic environments
Giovanni Bellettini, Alessandro Betti, Marco Gori
By and large the behavior of stochastic gradient is regarded as a challenging problem, and it is often presented in the framework of statistical machine learning. This paper offers…
Trees in the Real Field
Alessandro Betti, Marco Gori
This paper proposes an algebraic view of trees which opens the doors to an alternative computational scheme with respect to classic algorithms. In particular, it is shown that this…
Learning Neuron Non-Linearities with Kernel-Based Deep Neural Networks
Giuseppe Marra, Dario Zanca, Alessandro Betti +1
The effectiveness of deep neural architectures has been widely supported in terms of both experimental and foundational principles. There is also clear evidence that the activation…
Convolutional Networks in Visual Environments
Alessandro Betti, Marco Gori
The puzzle of computer vision might find new challenging solutions when we realize that most successful methods are working at image level, which is remarkably more difficult than…