99 citations · 143 across the 17 of their papers we have counts for
11 papers · 1 filter
Coherence Constraints in Facial Expression Recognition
Lisa Graziani, Stefano Melacci, Marco Gori
Recognizing facial expressions from static images or video sequences is a widely studied but still challenging problem. The recent progresses obtained by deep neural architectures,…
On a Convex Logic Fragment for Learning and Reasoning
Francesco Giannini, Michelangelo Diligenti, Marco Gori +1
In this paper we introduce the convex fragment of Łukasiewicz Logic and discuss its possible applications in different learning schemes. Indeed, the provided theoretical results ar…
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…