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ST-KeyS: Self-Supervised Transformer for Keyword Spotting in Historical Handwritten Documents
However, in the case of historical manuscripts, there is a lack of annotated corpus for training.
Active Restoration of Lost Audio Signals Using Machine Learning and Latent Information
Moreover, this paper proposes a novel framework for reconstruction from heavily compressed embedded audio data using halftoning (i. e., dithering) and machine learning, which we termed the HCR (halftone-based compression and reconstruction).
End-to-End Approach for Recognition of Historical Digit Strings
The plethora of digitalised historical document datasets released in recent years has rekindled interest in advancing the field of handwriting pattern recognition.
Mini-DDSM: Mammography-based Automatic Age Estimation
Subsequently, we extracted deep learning features from the collected data set, by which we built a model using Random Forests regressor to estimate the age automatically.
On Box-Cox Transformation for Image Normality and Pattern Classification
To the best of our knowledge, this is the first time that the Box-Cox transformation is extended to digital images by exploiting histogram transformation.
