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06/21/2023
Analyzing Font Style Usage and Contextual Factors in Real Images
There are various font styles in the world. Different styles give differ...
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05/10/2023
A Hybrid of Generative and Discriminative Models Based on the Gaussian-coupled Softmax Layer
Generative models have advantageous characteristics for classification t...
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08/05/2022
Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data
Automatic image-based disease severity estimation generally uses discret...
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11/06/2021
Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels
Ulcerative colitis (UC) classification, which is an important task for e...
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03/17/2021
Meta-learning of Pooling Layers for Character Recognition
In convolutional neural network-based character recognition, pooling lay...
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02/26/2021
Layer-Wise Interpretation of Deep Neural Networks Using Identity Initialization
The interpretability of neural networks (NNs) is a challenging but essen...
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09/27/2020
Handwriting Prediction Considering Inter-Class Bifurcation Structures
Temporal prediction is a still difficult task due to the chaotic behavio...
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05/06/2020
Regularized Pooling
In convolutional neural networks (CNNs), pooling operations play importa...
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11/14/2019
SDGM: Sparse Bayesian Classifier Based on a Discriminative Gaussian Mixture Model
In probabilistic classification, a discriminative model based on Gaussia...
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11/14/2019
A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis
This paper proposes a probabilistic neural network developed on the basi...
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06/14/2019
Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders
This research attempts to construct a network that can convert online an...
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05/31/2019
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection
Convolutional Neural Networks (CNNs) can achieve excellent computer-assi...
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05/30/2019
A Trainable Multiplication Layer for Auto-correlation and Co-occurrence Extraction
In this paper, we propose a trainable multiplication layer (TML) for a n...
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05/29/2019
GlyphGAN: Style-Consistent Font Generation Based on Generative Adversarial Networks
In this paper, we propose GlyphGAN: style-consistent font generation bas...
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05/26/2019
ProbAct: A Probabilistic Activation Function for Deep Neural Networks
Activation functions play an important role in the training of artificia...
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05/17/2019
Biosignal Generation and Latent Variable Analysis with Recurrent Generative Adversarial Networks
The effectiveness of biosignal generation and data augmentation with bio...
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03/29/2019
