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Pattern Spotting and Image Retrieval in Historical Documents using Deep Hashing
This paper presents a deep learning approach for image retrieval and pattern spotting in digital collections of historical documents.
Evaluation of Self-taught Learning-based Representations for Facial Emotion Recognition
This work describes different strategies to generate unsupervised representations obtained through the concept of self-taught learning for facial emotion recognition (FER).
Data Augmentation for Histopathological Images Based on Gaussian-Laplacian Pyramid Blending
Such a problem is troublesome because most of the ML algorithms attempt to optimize a loss function that does not take into account the data imbalance.
Texture CNN for Histopathological Image Classification
Biopsies are the gold standard for breast cancer diagnosis.
Double Transfer Learning for Breast Cancer Histopathologic Image Classification
This work proposes a classification approach for breast cancer histopathologic images (HI) that uses transfer learning to extract features from HI using an Inception-v3 CNN pre-trained with ImageNet dataset.
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