InfoWorld

Oracle unveils Java development plans for 2026

OpenJDK project teams will focus work on features such as value types, code reflection, AOT compilation, and structured ...
IEEE

Image Understands Point Cloud: Weakly Supervised 3D Semantic Segmentation via Association Learning

Abstract: Weakly supervised point cloud semantic segmentation methods that require 1% or fewer labels with the aim of realizing almost the same performance as fully supervised approaches have recently ...
IEEE

Point-Based Weakly Supervised Deep Learning for Semantic Segmentation of Remote Sensing Images

Abstract: Weakly supervised semantic segmentation methods can effectively alleviate the problem of high cost and difficult access to annotation in traditional methods. Among these approaches, point ...
GitHub

Apress/Learn-Java-Fundamentals

This repository accompanies Learn Java Fundamentals by Jeff Friesen (Apress, 2024). Download the files as a zip using the green button, or clone the repository to your machine using Git.
IEEE

Toward Visual Interaction: Hand Segmentation by Combining 3-D Graph Deep Learning and Laser Point Cloud for Intelligent Rehabilitation

Abstract: Against the backdrop of the increasing trend of aging population in China and even globally, the demand for hand function rehabilitation is growing day by day, and human-machine interaction ...
IEEE

SDSimPoint: Shallow-Deep Similarity Learning for Few-Shot Point Cloud Semantic Segmentation

Abstract: Three-dimensional point cloud semantic segmentation is a fundamental task in computer vision. As the fully supervised approaches suffer from the generalization issue with limited data, ...
IEEE

Deep Learning Based Point Cloud Processing Techniques

Abstract: In this study, deep learning techniques and algorithms used in point cloud processing have been analysed. Methods, technical properties and algorithms developed for 3D Object Classification ...
IEEE

Detecting Java Compiled Malware using Machine Learning Techniques

Abstract: Malicious software using Java Language in order to implement the attack evolved rapidly in the past years. Initially we were used to find malicious Applets and exploitation methods to escape ...
IEEE

Learning Implicit Fields for Point Cloud Filtering

Abstract: Since point clouds acquired by scanners inevitably contain noise, recovering a clean version from a noisy point cloud is essential for further 3D geometry processing applications. Several ...
IEEE

Weakly Supervised Learning for Point Cloud Semantic Segmentation With Dual Teacher

Abstract: Point cloud semantic segmentation has achieved considerable progress in the past decade. To alleviate expensive data annotation efforts, weakly supervised learning methods are preferable, ...
IEEE

Comparative Study of Statistical, Machine Learning, and Deep Learning for Rice Retail Price Forecasting in West Java

Abstract: This research investigates the effectiveness of machine learning (ML), deep learning (DL), and statistical algorithms for forecasting rice retail prices in West Java, Indonesia. Employing ...