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11/16/2020
Mixing ADAM and SGD: a Combined Optimization Method
Optimization methods (optimizers) get special attention for the efficien...
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09/18/2020
σ^2R Loss: a Weighted Loss by Multiplicative Factors using Sigmoidal Functions
In neural networks, the loss function represents the core of the learnin...
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05/18/2020
Learn Class Hierarchy using Convolutional Neural Networks
A large amount of research on Convolutional Neural Networks has focused ...
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05/01/2020
Can a powerful neural network be a teacher for a weaker neural network?
The transfer learning technique is widely used to learning in one contex...
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04/05/2020
Dynamic Decision Boundary for One-class Classifiers applied to non-uniformly Sampled Data
A typical issue in Pattern Recognition is the non-uniformly sampled data...
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03/30/2020
OCmst: One-class Novelty Detection using Convolutional Neural Network and Minimum Spanning Trees
We present a novel model called One Class Minimum Spanning Tree (OCmst) ...
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09/09/2019
A Classification Methodology based on Subspace Graphs Learning
In this paper, we propose a design methodology for one-class classifiers...
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09/09/2019
Picture What you Read
Visualization refers to our ability to create an image in our head based...
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06/14/2019