基础科学研究所认知与社会性中心主任 C. Justin Lee 博士表示:“我们人类能迅速发现拥挤场景中的关键点。我们的 Lp-Convolution 模仿了这种能力，让 AI 能像大脑一样，灵活地聚焦于图像中最相关的部分。” ...

Researchers have developed a new artificial intelligence (AI) technique that brings machine vision closer to how the human brain processes images. Called Lp-Convolution, this method improves the ...

A team of researchers from the Institute for Basic Science, Yonsei University, and the Max Planck Institute have developed a ...

The proposed EDL incorporates an effective data collection method based on objective improvement to generate high-quality datasets, based on which a multivariate Gaussian probabilistic model is ...

This sparsity, coupled with the non-Gaussian distribution of crime data—characterized by an excess of zero events and over-dispersion—presents a critical challenge for the signal processing community.

A distributed Spark/Scala implementation of the isolation forest algorithm for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference ...

Centre of Mathematics for Applications, Department of Mathematics, University of Oslo P.O. Box 1053, Blindern, N–0316 Oslo, Norway Agder University College, Department of Economics and Business ...

Without a central server, every sampling particle communicates with its neighbors over a sparsely connected network. Unlike the existing work, this method focuses on the distribution of sampling ...

Once the features are selected, a non-parametric non-linear regression using the Gaussian Process Regression (GPR ... method that has a property of comparing outliers to their local neighborhoods ...