The code accompanies paper Graph reduction with spectral and cut guarantees by Andreas Loukas published at JMLR/2019. Can one reduce the size of a graph without significantly altering its basic ...
Abstract: Graph cut algorithms are widely used to solve min-cut/max-flow problems across various optimization applications. A common approach in recent FPGA accelerators of graph cut algorithms is to ...
Businesses trust on major carriers as FedEx, UPS, DHL, and others, but increasing costs, complex prices, and inconsistent billing made shipping costs nearly unpredictable. Companies frequently lack ...
The first thing to understand about the TikTok deal is that it’s not actually a deal—at least not in any official capacity yet. Trump’s executive order Thursday simply delays the Chinese social media ...
The electric vehicle revolution is here. For businesses, commercial properties, and apartment buildings, installing Bornes de recharge pour véhicules électriques is no longer a luxury—it’s a necessity ...
Using the right model and the right prompt is only part of the enterprise AI challenge, it's also critical to optimize the prompt. The breakthrough in prompt optimization arrives alongside Databricks' ...
The vehicle trajectories. a The Awesome GINS Dataset which was collected in an open-sky industrial area in Wuhan. b The second dataset which was collected in a suburban area in the Optics Valley of ...
This repository contains the source code and datasets for our proposed framework on temporal action segmentation, as described in the paper titled Semantic Smoothness Optimization via Graph-Cut Energy ...
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