Abstract: The estimation of mutual information (MI) or conditional mutual information (CMI) from a set of samples is a longstanding problem. A recent line of work in this area has leveraged the ...

Abstract: Neighborhood finders and nearest neighbor queries are fundamental components of sampling-based motion planning (SBMP) algorithms. Using different distance metrics or otherwise changing the ...

ABSTRACT: This paper proposes a structured data prediction method based on Large Language Models with In-Context Learning (LLM-ICL). The method designs sample selection strategies to choose samples ...

Jianguo Zhang, Kazuma Hashimoto, Wenhao Liu, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, and Caiming Xiong. Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural ...

We propose a scalable manifold learning (SUDE) method that can cope with large-scale and high-dimensional data in an efficient manner. It starts by seeking a set of landmarks to construct the ...

The health status of bearings is an essential prerequisite to ensure the safe and stable operation of vehicles. However, the negative impact of covariate shifts among data channels on diagnostic ...

California regulators could soon grant a fresh permit for a hazardous waste treatment facility in Santa Fe Springs, even as they face off with the same company in court over alleged violations. The ...

Detroit — Robert Shobe is on the phone in his backyard facing the Mack Assembly Plant's paint shop where Jeep Grand Cherokees get their Velvet Red, Hydro Blue, Midnight Sky and other hues. It's around ...

Since 1992, all state-of-the-art methods for fast and sensitive identification of evolutionary, structural, and functional relations between proteins (also referred to as “homology detection”) use ...

The process of resampling allows you to change the pixel dimensions of your image. This will affect the display and print size of your image. This part of the resizing process is important for several ...