CHAD: Combinatory Homomorphic Automatic Differentiation

Chad Outline

The model not only underpredicts civil war onsets, but it also had inconsistent success in its point predictions. It points to 1960-61 as the years Chad was most vulnerable to a civil war (over six percent probability for each of these years). Yet the first civil was onset was not until 1965 when the odds were a bit over one percent, about two-thirds the world average. Although the model does n...

Automatic Image Shadow Identification using LPF in Homomorphic Processing System

In this paper, we have used homomorphic system and HSV color space for shadow detection. Here, we have defined a LPF to detect the shadow over a dark object on the background. In this case, we omit the phase information in order not to emphasize the reflection component. Furthermore, the presented experimental results which are obtained for shadow identification, show the efficiency of the prop...

Hominid revelations from Chad.

Chad Looney

Fluctuations in global petroleum prices can explain part of the variation in political violence in three African petrol states: Angola, Nigeria, and Algeria. As petrol states, all these countries have depended on imports of food and other basic commodities purchased with oil export receipts. Thus, when petrol prices and the economic performance of these countries fall, the states decrease impor...

Automatic differentiation in PyTorch

In this article, we describe an automatic differentiation module of PyTorch — a library designed to enable rapid research on machine learning models. It builds upon a few projects, most notably Lua Torch, Chainer, and HIPS Autograd [4], and provides a high performance environment with easy access to automatic differentiation of models executed on different devices (CPU and GPU). To make prototy...