This repository is the code implementation of the paper Fine-grained Hierarchical Crop Type Classification from Integrated Hyperspectral EnMAP Data and Multispectral Sentinel-2 Time Series: A ...

This New AI is 100x Faster at Reasoning Than ChatGPT Your email has been sent The tiny Hierarchical Reasoning Model mimics the brain’s structure to solve complex tasks in a single pass — no ...

Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...

In an era of rapidly growing multimedia data, the need for robust and efficient classification systems has become critical, specifically the identification of class names and poses or styles. This ...

Abstract: Hierarchical feature selection is considered an effective technique to reduce the dimensionality of data with complex hierarchical label structures. Incorrect labels are a common and ...

As a core general compulsory course for engineering majors, the teaching quality of Advanced Mathematics is directly related to the cultivation of students’ professional literacy and innovation ...

1 Doctoral School, University Iba Der THIAM of Thies, Thies, Senegal. 2 University Iba Der THIAM of Thies, Thies, Senegal. 3 Iba Der THIAM University, Thies, Senegal. Based on the perception of flood ...

Have you ever wondered how plants get classified into categories like trees, shrubs, and herbs? Or why some plants are considered annuals while others are perennials? In this article, we’ll walk ...

I'm working in a hierarchical multi class problem, and if I flat the labels (flat approach) I have about 1193 classes, which perhaps can already be consider a extreme multi classification problem.

The office hierarchy has long been the backbone of organizational structure. It’s a familiar setup, comforting in its predictability, with clearly defined roles, responsibilities, and lines of ...