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Efficient Dictionary Learning with Sparseness-Enforcing Projections
This theory is applied in an original algorithm called Easy Dictionary Learning (EZDL), which learns dictionaries with a simple and fast-to-compute Hebbian-like learning rule.
Sparse Activity and Sparse Connectivity in Supervised Learning
In the theoretical part of this paper, a comprehensive theory for such a projection is developed.
Ranked #57 on
Image Classification
on MNIST
Rapid Exact Signal Scanning with Deep Convolutional Neural Networks
A rigorous formulation of the dynamics of a signal processing scheme aimed at dense signal scanning without any loss in accuracy is introduced and analyzed.
