Jul 12, 2017 · Weightless ANNs (Aleksander et al. 2009) are memory-based alternatives to weights-based ones. All links of these networks have no weight, acting ...
This paper details how the achievement of open set recognition for WiSARD a weightless artificial neural network model was realized, based on an elaborate ...
This paper details how this was realized for WiSARD a weightless artificial neural network model. Such achievement was based on an elaborate distance-like ...
This paper presents an approach to open set recognition based on an elaborate distance-like computation provided by a weightless neural network model. The ...
Open set recognition through a weightless neural network is used in [3] . In [2], a neural network-based classifier detects the unknown samples through ...
Based on an elaborate distance-like computation pro- vided by a weightless neural network, Cardoso et al. [81] proposed the tWiSARD algorithm for open set ...
The robustness, simplicity, and light computational load of WNNs make them an ideal model for different scenarios such as IoT, open-set recognition, and use in ...
A typical classification neural network consists of an input layer, hidden layers, and a classification layer. By employing loss functions such as cross-entropy ...
People also ask
Which neural network models for image recognition?
What is open set recognition?
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition ...
Jan 27, 2023 · In this paper, we propose a novel WNN architecture, BTHOWeN, with key algorithmic and architectural improvements over prior work.