IEEE

Dual Branch Graph Representation Learning-Based Approach for Next Point-of-Interest Recommendation

Abstract: Next Point-of-Interest (POI) recommendation, a sub-task of POI recommendation, focuses on predicting the next POI a user will visit, relying on the user’s sequential check-in history. In ...
IEEE

Distributed Traffic Signal Control Model for Accurate Policy Learning Under Dynamic Traffic Flow: A Graph Forecast-State Vector Driven Deep Reinforcement Learning Framework

Abstract: The increasing severity of traffic congestion has driven the application of deep reinforcement learning (DRL) in traffic signal control. It utilizes spatial states to interact with ...
IEEE

Edge Enhancement Oriented Graph Convolutional Networks for Point Cloud Segmentation

Abstract: Aiming at the problem of poor edge effect segmentation in point cloud segmentation, which fails to fully utilize the correlation between the local geometric and semantic features of point ...
IEEE

Multi-Person Pose Tracking With Sparse Key-Point Flow Estimation and Hierarchical Graph Distance Minimization

Abstract: In this paper, we propose a novel framework for multi-person pose estimation and tracking on challenging scenarios. In view of occlusions and motion blurs which hinder the performance of ...
Sports Illustrated

Point Guard Problems Linger For Kevin Durant, Even In Houston

The season hasn't started yet, but the Houston Rockets already found their biggest obstacle. Fred VanVleet’s stunning shutdown out of a torn ACL injury has been a game changer for the Houston Rockets ...
VentureBeat

Microsoft Fabric's graph gambit: How LinkedIn tech aims to solve AI's context problem

Without data, enterprise AI isn't going to be successful. Getting all the data in one place and having the right type of data tools, including connections to different types of databases is a critical ...
Hosted on MSN

Stuck in Your Ways? 8 Traits That Might Signal a Deeper Problem

Explore 8 stubborn traits that could indicate deeper issues, from resistance to change to overly rigid habits. Learn how these behaviors might signal underlying emotional or psychological challenges ...
IEEE

A Method to Obtain Non-Power-of-Two FFT Flow Graphs Based on a New Prime Factor Algorithm

Abstract: This paper presents a novel method to obtain non-power-of-two (NP2) fast Fourier transform (FFT) flow graphs based on a new prime factor algorithm (PFA). The FFT flow graph is crucial for ...
IEEE

Flow Interaction Graph Analysis: Unknown Encrypted Malicious Traffic Detection

Abstract: Nowadays traffic on the Internet has been widely encrypted to protect its confidentiality and privacy. However, traffic encryption is always abused by attackers to conceal their malicious ...
IEEE

Co-MOT: Exploring the Collaborative Relations in Traffic Flow for 3D Multi-Object Tracking

Abstract: In real-world scenes, vehicles and pedestrians on the road often exhibit consistency in their overall motion, forming the traffic flow we observe. Exploring this global collective motion ...
IEEE

Radar Signal Sorting via Graph Convolutional Network and Semi-Supervised Learning

Abstract: As a key technology in radar reconnaissance systems, radar signal sorting aims to separate multiple radar pulses from an interleaved pulse stream. Supervised signal sorting methods based on ...
IEEE

Evolutionary Multitasking with Compatibility Graph for Point Cloud Registration

Abstract: 3D point cloud registration is a fundamental task in computer vision, aimed at estimating a transformation to align a pair of point clouds. For point cloud registration, where the popular ...