On October 16 1843, the Irish mathematician William Rowan Hamilton had an epiphany during a walk alongside Dublin’s Royal Canal. He was so excited he took out his penknife and carved his discovery ...
In recent years, neural networks have once again triggered an increased interest among researchers in the machine learning community. So-called deep neural networks model functions using a composition ...
This is the code for the SpeechTokenizer presented in the SpeechTokenizer: Unified Speech Tokenizer for Speech Language Models. SpeechTokenizer is a unified speech tokenizer for speech language models ...
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A recent challenge in the field of bioimaging is to image vital, thick, and complex tissues in real time and in non-invasive mode. Among the different tools available for diagnostics, nonlinear ...
Abstract: In this paper, we propose a complex network design method based on Spearman correlation coefficient. According to the various characteristics of complex networks, we believe that we can ...
The key to spontaneous and directed assembly is to encode the desired assembly information to building blocks in a programmable and efficient way. In computer graphics, raster graphics encodes images ...
Imaging the distributions of radiolabeled molecules in small animals facilitates in vivo quantitative assessments of molecular mechanisms and the development of new pharmaceuticals and diagnostic ...
In essence, an SVM is a mathematical entity, an algorithm (or recipe) for maximizing a particular mathematical function with respect to a given collection of data. The basic ideas behind the SVM ...
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