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Found 4 papers, 2 papers with code
Sparse Distributed Memory is a Continual Learner
Continual learning is a problem for artificial neural networks that their biological counterparts are adept at solving.
The Marine Debris Dataset for Forward-Looking Sonar Semantic Segmentation
This paper presents a novel dataset for marine debris segmentation collected using a Forward Looking Sonar (FLS).
Q-matrix Unaware Double JPEG Detection using DCT-Domain Deep BiLSTM Network
A set of extensive experiments shows that the proposed system trained on a single dataset generalizes well on other datasets compressed with completely unseen quantization matrices and outperforms the state-of-the-art methods in both seen and unseen quantization matrices scenarios.
Multi-Objective Evolutionary approach for the Performance Improvement of Learners using Ensembling Feature selection and Discretization Technique on Medical data
Biomedical data is filled with continuous real values; these values in the feature set tend to create problems like underfitting, the curse of dimensionality and increase in misclassification rate because of higher variance.
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