This study presents a method to reconstruct a high-resolution image using a deep convolution neural network. We propose a deep model, entitled Deep Block Super Resolution (DBSR), by fusing the output features of a deep convolutional network and a shallow convolutional network. In this way, our model benefits from high frequency and low frequency features extracted from deep and shallow networks...

This paper is concerned with a state-space approach to deep Gaussian process (DGP) regression. We construct the DGP by hierarchically putting transformed (GP) priors on length scales and magnitudes of next level processes in hierarchy. The idea represent as non-linear hierarchical system linear stochastic differential equations (SDEs), where each SDE corresponds conditional GP. regression probl...

Advances in artificial intelligence algorithms and techniques are quickly allowing us to create artificial agents that interact with the real world. However, these agents need to maintain a carefully constructed abstract representation of the world around them [9]. Recent research in deep reinforcement learning attempts to overcome this challenge. Mnih et al. [24] at DeepMind and Levine et al. ...

In the presence of rst-class continuations, shallow maintenance of dynamic bindings requires more than the traditional stack-based techniques. This paper provides correctness criteria for such dynamic environments, along with contrasting implementations. A store semantics provides the framework for our correctness criteria and presentation of deepand shallow-binding implementations. The latter ...

Background and Purpose: Nowadays, breast cancer is reported as one of the most common cancers amongst women. Early detection of the cancer type is essential to aid in informing subsequent treatments. The newest proposed breast cancer detectors are based on deep learning. Most of these works focus on large-datasets and are not developed for small datasets. Although the large datasets might lead ...

background: breast cancer is the most common type of malignancy in the female population, rarely is reported by thromboembolic events during the course of the disease. in this case, we present a rare case of breast cancer presenting as deep vein thrombosis of the axillary vein.case presentation: a 40-year- old female was admitted due to pain and swelling of her right arm and forearm of two mont...

Background: Breast cancer is the most common type of malignancy in the female population, rarely is reported by thromboembolic events during the course of the disease. In this case, we present a rare case of breast cancer presenting as deep vein thrombosis of the axillary vein.Case Presentation: A 40-year- old female was admitted due to pain and swelling of her right arm and forearm of two mont...