IEEE6d
On the Convergence of Decentralized Stochastic Gradient Descent With Biased Gradients
Abstract: Stochastic optimization algorithms are widely used to solve large-scale machine learning problems. However, their theoretical analysis necessitates access to unbiased estimates of the true ...
IEEE9d
Distributed Discrete-Time Dynamic Outer Approximation of the Intersection of Ellipsoids
Abstract: This paper presents the first discrete-time distributed algorithm to track the tightest ellipsoids that outer approximates the global dynamic intersection of ellipsoids. Given an undirected ...
IEEE13d
Nivedita Arora: “Building Sustainable Computational Materials”
Abstract: Nivedita Arora: Collecting real-time, granular environmental data is essential for urban health, agriculture, and disaster prevention. However, it must be done sustainably, with minimal ...
IEEE13d
On the Partial Difference Equations of Mathematical Physics
Abstract: Problems involving the classical linear partial differential equations of mathematical physics can be reduced to algebraic ones of a very much simpler structure by replacing the ...
IEEE17d
On Resilience Against Cyber-Physical Uncertainties in Distributed Nash Equilibrium Seeking Strategies for Heterogeneous Games
Abstract: This paper designs distributed Nash equilibrium seeking strategies for heterogeneous dynamic cyber-physical systems. In particular, we are concerned with parametric uncertainties in the ...
IEEE22d
A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures
Abstract: Motion planning is critical to realize the autonomous operation of mobile robots. As the complexity and randomness of robot application scenarios increase, the planning capability of the ...
IEEE27d
Lane Detection for Autonomous Driving: Comprehensive Reviews, Current Challenges, and Future Predictions
Abstract: Lane detection is crucial for autonomous driving systems (ADS), utilizing sensors like cameras and LiDAR to identify lanes and understand vehicle position, direction, and lane shape. It ...
IEEE27d
Laminated Cores in Inductive Power Transfer: A Viaduct Structure for Balanced Flux and Minimal Shielding Loss
Abstract: This letter introduces an innovative laminated core structure for high-power inductive power transfer (IPT) applications using Fe-based nanocrystalline materials. While these materials offer ...
IEEE27d
Sim2Surf: a Sim2Real Surface Classifier for Vision-Based Tactile Sensors with a Bilevel Adaptation Pipeline
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=7361 ...
IEEE27d
LiNGAM-SF: Causal Structural Learning Method With Linear Non-Gaussian Acyclic Models for Streaming Features
Abstract: The causal structure learning for streaming features (CSLSFs) faces the following challenges: 1) the precision of learned causal structures is limited due to the score-based learning method ...
IEEE27d
Robot Dynamic Path Planning Based on Prioritized Experience Replay and LSTM Network
Abstract: To address the issues of slow convergence speed, poor dynamic adaptability, and path redundancy in the Double Deep Q Network (DDQN) within complex obstacle environments, this paper proposes ...
IEEE28d
Prototype Matching Learning for Incomplete Multi-View Clustering
Abstract: As information acquisition diversifies, data is acquired and stored in increasing modalities. However, sensor failures or equipment issues can lead to partial data loss in certain views, ...