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global-optimization

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Showing 301–350 of 658 papers

TitleStatusHype
Road is Enough! Extrinsic Calibration of Non-overlapping Stereo Camera and LiDAR using Road Information—0
Robust Nonrigid Registration by Convex Optimization—0
Robust Reconstruction of Indoor Scenes—0
Safe global optimization of expensive noisy black-box functions in the δ-Lipschitz framework—0
Saliency Guided Optimization of Diffusion Latents—0
Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search—0
Scalable Constrained Bayesian Optimization—0
Scalable Link Prediction in Dynamic Networks via Non-Negative Matrix Factorization—0
Seg4Reg+: Consistency Learning between Spine Segmentation and Cobb Angle Regression—0
SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation—0
Semantic Driven Multi-Camera Pedestrian Detection—0
Derivative-Free Global Optimization Algorithms: Bayesian Method and Lipschitzian Approaches—0
Sequential vs. Integrated Algorithm Selection and Configuration: A Case Study for the Modular CMA-ES—0
Towards Solving Large-scale Expensive Optimization Problems Efficiently Using Coordinate Descent Algorithm—0
Shallow2Deep: Indoor Scene Modeling by Single Image Understanding—0
Shape Complementarity Analysis for Objects of Arbitrary Shape—0
Simple2Complex: Global Optimization by Gradient Descent—0
Simplex Search Based Brain Storm Optimization—0
SMORE: Simultaneous Map and Object REconstruction—0
Simultaneous Multiple Surface Segmentation Using Deep Learning—0
Sine Cosine Crow Search Algorithm: A powerful hybrid meta heuristic for global optimization—0
Single Snapshot Distillation for Phase Coded Mask Design in Phase Retrieval—0
Small ensembles of kriging models for optimization—0
Sparse Dictionary Learning for Edit Propagation of High-Resolution Images—0
Spoken Language Understanding for Task-oriented Dialogue Systems with Augmented Memory Networks—0
srMO-BO-3GP: A sequential regularized multi-objective constrained Bayesian optimization for design applications—0
Stability-informed Bayesian Optimization for MPC Cost Function Learning—0
Stereo-Based 3D Reconstruction of Dynamic Fluid Surfaces by Global Optimization—0
Stochastic Global Optimization Algorithms: A Systematic Formal Approach—0
Stochastic Gradient Langevin Dynamics with Variance Reduction—0
Stochastic Learning Equation using Monotone Increasing Resolution of Quantization—0
Stochastic Process Bandits: Upper Confidence Bounds Algorithms via Generic Chaining—0
StochasticRank: Global Optimization of Scale-Free Discrete Functions—0
Stratified Bayesian Optimization—0
Structure Learning for Optimization—0
Student's t Distribution based Estimation of Distribution Algorithms for Derivative-free Global Optimization—0
Sub- Diving Labeling Method for Optimization Problem by Genetic Algorithm—0
Super Gradient Descent: Global Optimization requires Global Gradient—0
Supervised Exponential Family Principal Component Analysis via Convex Optimization—0
Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization—0
Synergizing Hyper-accelerated Power Optimization and Wavelength-Dependent QoT-Aware Cross-Layer Design in Next-Generation Multi-Band EONs—0
System Parameter Exploration of Ship Maneuvering Model for Automatic Docking / Berthing using CMA-ES—0
Tensor Train for Global Optimization Problems in Robotics—0
Testing Surrogate-Based Optimization with the Fortified Branin-Hoo Extended to Four Dimensions—0
Testing that a Local Optimum of the Likelihood is Globally Optimum using Reparameterized Embeddings—0
Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting—0
The Archerfish Hunting Optimizer: a novel metaheuristic algorithm for global optimization—0
The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications—0
The Fusion of Deep Reinforcement Learning and Edge Computing for Real-time Monitoring and Control Optimization in IoT Environments—0
The Global Optimization Geometry of Shallow Linear Neural Networks—0
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