We describe an algorithm based on several novel concepts for synthesizing a desired program in this language from input-output examples. The synthesis algorithm is very efficient taking fraction of a ...

Background: This study aims to investigate the application of visual information processing mechanisms in the segmentation of stem cell (SC) images. The cognitive principles underlying visual ...

Abstract: Convolution processing plays a pivotal role in convolutional neural networks (CNNs), which are widely utilized in image recognition, signal processing, and other applications that demand ...

Center for Data Modernization Solutions, RTI International, Durham, NC, United States The framework of Input and Output Privacy aids in conceptualization of data ...

Here’s something fun. Our hacker [Willow Cunningham] has sent us a copy of their homework. This is their final project for the “ECE 574: Cluster Computing” course at the University of Maine, Orono. It ...

Convolution is a remarkable property of the Fourier transform, often cited in the literature as the “faltung theorem”. Convolution is a remarkable property of the Fourier transform, often cited in the ...

KNOXVILLE, Tenn. (WATE) — The Tennessee Valley Authority (TVA) is considering building facilities in Tennessee, Alabama, and Kentucky to process coal combustion residuals (CCR) for beneficial use.

%% Question 3: construct a single bar (box function) input pattern (u), convolves it with a center surround impulse response (h), & plots the result (y) (alongside u for reference): % construct a box ...

Abstract: Cubic convolution interpolation is a new technique for resampling discrete data. It has a number of desirable features which make it useful for image processing. The technique can be ...

Opera has released its artificial intelligence-powered Opera One browser for iOS, following several weeks in beta testing. The iPhone app mimics the minimalist aesthetic of the company's desktop ...