790 citations · 1k across the 9 of their papers we have counts for
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Exploiting Layerwise Convexity of Rectifier Networks with Sign Constrained Weights
Senjian An, Farid Boussaid, Mohammed Bennamoun +1
By introducing sign constraints on the weights, this paper proposes sign constrained rectifier networks (SCRNs), whose training can be solved efficiently by the well known majoriza…
On the Compressive Power of Deep Rectifier Networks for High Resolution Representation of Class Boundaries
Senjian An, Mohammed Bennamoun, Farid Boussaid
This paper provides a theoretical justification of the superior classification performance of deep rectifier networks over shallow rectifier networks from the geometrical perspecti…
From Deep to Shallow: Transformations of Deep Rectifier Networks
Senjian An, Farid Boussaid, Mohammed Bennamoun +1
In this paper, we introduce transformations of deep rectifier networks, enabling the conversion of deep rectifier networks into shallow rectifier networks. We subsequently prove th…
A New Representation of Skeleton Sequences for 3D Action Recognition
Qiuhong Ke, Mohammed Bennamoun, Senjian An +2
This paper presents a new method for 3D action recognition with skeleton sequences (i.e., 3D trajectories of human skeleton joints). The proposed method first transforms each skele…