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Found 3 papers, 1 papers with code
Activity Auto-Completion: Predicting Human Activities From Partial Videos
Finally, the missing observation of an activity is predicted as the activity candidates provided by the auto-completion model.
Deep Trans-layer Unsupervised Networks for Representation Learning
Compared to traditional deep learning methods, the implemented feature learning method has much less parameters and is validated in several typical experiments, such as digit recognition on MNIST and MNIST variations, object recognition on Caltech 101 dataset and face verification on LFW dataset.
Constrained Extreme Learning Machines: A Study on Classification Cases
Extreme learning machine (ELM) is an extremely fast learning method and has a powerful performance for pattern recognition tasks proven by enormous researches and engineers.
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