Dividing patients into groups based on how they behave towards their condition can aid understanding of the issues that affect them and improve outcomes, such as quality of life in long-term ...

Ann Behan has 10 years-plus of experience researching, writing, and editing articles, white papers, and executing searches at the board level across various industries. Her expertise includes ...

So what are the bases for segmentation? While it is difficult to determine what will segment a market into different segments based on different benefit tradeoffs, there are some useful ways of ...

Before getting into how one can think about the various ways to practically segment a market, let's first consider some key issues and questions: It's the only way to have a clear message in the ...

James Chen, CMT is an expert trader, investment adviser, and global market strategist. Samantha (Sam) Silberstein, CFP®, CSLP®, EA, is an experienced financial consultant. She has a demonstrated ...

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A configurable C++ library for point cloud processing built on top of the Point Cloud Library (PCL). This library is designed as a pipeline which can be used in autonomous driving and robotics ...

Abstract: Self-supervised learning aims to learn transferable representations from unlabeled data for downstream tasks. Inspired by masked language modeling in natural language processing, masked ...

Abstract: In the semantic segmentation of remote sensing images, methods based on convolutional neural networks (CNNs) and Transformers have been extensively studied. Nevertheless, CNN struggles to ...

Image segmentation plays an important role in vision understanding. Recently, the emerging vision foundation models continuously achieved superior performance on various tasks. Following such success, ...