Arsenazo-DBN

The liver segmentation in CT scan images is a significant step toward the development of a quantitative biomarker for computer… Expand

In this paper, we propose an intelligent cognitive radar system for detecting and classifying the micro unmanned aerial systems… Expand

Deep Belief Network (DBN) is made up of stacked Restricted Boltzmann Machine layers associated with global weight fine-tuning for… Expand

A time series prediction model is proposed based on combination of the long-short time memory neural network model and the… Expand

Nonlinear system modeling plays an important role in practical engineering, and deep learning-based deep belief network (DBN) is… Expand

Obtaining compact and discriminative features is one of the major challenges in many of the real-world image classification tasks… Expand

We describe how to train a two-layer convolutional Deep Belief Network (DBN) on the 1.6 million tiny images dataset. When… Expand

[1] With large volumes of data arriving in near real time from environmental sensors, there is a need for automated detection of… Expand

approach of design at first glance. But there is just as in design the possibility to deal with larger constructs abstractly… Expand

From the Departments of Physiology & Biophysics, and Microbiology and Molecular Genetics, University of California, Irvine… Expand