Lithium-ion batteries have been widely applied in energy storage systems and electric vehicles (EVs), the remaining useful life (RUL) prediction is one of critical technologies for prognostics health management. However, high accuracy RUL with reliability biggest bottleneck. To improve adaptively extract indirect indicators (HIs), framework based on stacked autoencoder Gaussian mixture regressi...

In human eye, the state of blood vessel is a crucial diagnostic factor. The segmentation from fundus image difficult due to spatial complexity, adjacency, overlapping and variability vessel. detection ophthalmic pathologies like hypertensive disorders, diabetic retinopathy cardiovascular diseases are remain challenging task wide-ranging distribution vessels. this paper, Stacked Autoencoder CNN ...

We propose to leverage denoising autoencoder networks as priors to address image restoration problems. We build on the key observation that the output of an optimal denoising autoencoder is a local mean of the true data density, and the autoencoder error (the difference between the output and input of the trained autoencoder) is a mean shift vector. We use the magnitude of this mean shift vecto...

We discuss an autoencoder model in which the encoding and decoding functions are implemented by decision trees. We use the soft decision tree where internal nodes realize soft multivariate splits given by a gating function and the overall output is the average of all leaves weighted by the gating values on their path. The encoder tree takes the input and generates a lower dimensional representa...