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Found 4 papers, 2 papers with code
Building a Word Segmenter for Sanskrit Overnight
There is an abundance of digitised texts available in Sanskrit.
Visualization Regularizers for Neural Network based Image Recognition
The success of deep neural networks is mostly due their ability to learn meaningful features from the data.
MRF-based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos
Robust foreground object segmentation via background modelling is a difficult problem in cluttered environments, where obtaining a clear view of the background to model is almost impossible.
Improved Anomaly Detection in Crowded Scenes via Cell-based Analysis of Foreground Speed, Size and Texture
The motion and size features are modelled by an approximated version of kernel density estimation, which is computationally efficient even for large training datasets.
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