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Found 6 papers, 1 papers with code
Understanding the main failure scenarios of subsea blowout preventers systems: An approach through Latent Semantic Analysis
This study provides an alternative safety analysis that contributes to understanding blowout preventer system's critical component failures by applying a methodology based on a well-established text mining technique and analyzing failure records from an international database.
Video Segmentation Learning Using Cascade Residual Convolutional Neural Network
Video segmentation consists of a frame-by-frame selection process of meaningful areas related to foreground moving objects.
Scene Change Detection Using Multiscale Cascade Residual Convolutional Neural Networks
Such architecture design directly impacts on the quality of the detection results, and also in the device resources capacity, like memory.
Gait Recognition Based on Deep Learning: A Survey
In general, biometry-based control systems may not rely on individual expected behavior or cooperation to operate appropriately.
Information Ranking Using Optimum-Path Forest
The task of learning to rank has been widely studied by the machine learning community, mainly due to its use and great importance in information retrieval, data mining, and natural language processing.
MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values
Different techniques have emerged in the deep learning scenario, such as Convolutional Neural Networks, Deep Belief Networks, and Long Short-Term Memory Networks, to cite a few.
