Results 121 to 130 of about 47,583 (209)

Optimization methods for face recognition algorithmes

The paper examines the main drawbacks of modern face recognition algorithms: low processing speed, high sensitivity to image quality and face positioning.
Sitkov, I.P., Glybovets, M.M.
core  

Improving air quality prediction using hybrid BPSO with BWAO for feature selection and hyperparameters optimization. [PDF]

Sci Rep
Sawah MS, Elmannai H, El-Bary AA, Lotfy K, Sheta OE.   +4 more
europepmc   +1 more source

A CNN Hyperparameters Optimization Based on Particle Swarm Optimization for Mammography Breast Cancer Classification. [PDF]

J Imaging
Aguerchi K, Jabrane Y, Habba M, El Hassani AH.   +3 more
europepmc   +1 more source

A precise model for skin cancer diagnosis using hybrid U-Net and improved MobileNet-V3 with hyperparameters optimization. [PDF]

Sci Rep
Kumar Lilhore U, Simaiya S, Sharma YK, Kaswan KS, Rao KBVB, Rao VVRM, Baliyan A, Bijalwan A, Alroobaea R.   +8 more
europepmc   +1 more source

Learning Algorithm Hyperparameters for Fast Parametric Convex Optimization

We introduce a machine-learning framework to learn the hyperparameter sequence of first-order methods (e.g., the step sizes in gradient descent) to quickly solve parametric convex optimization problems.
Sambharya, Rajiv, Stellato, Bartolomeo
core  

Optimization of hyperparameters of deep learning models

Les modèles d'apprentissage profond ont permis de grandes percées dans de nombreux domaines tels que le traitement de texte, d'image et du son. Ils se distinguent des autres modèles grâce à leurs grandes capacités de représentation automatique.Ces ...
Lacharme, Guillaume
core  

Bilevel Optimized Implicit Neural Representation for Scan-Specific Accelerated MRI Reconstruction. [PDF]

IEEE Trans Med Imaging
Yu H, Fessler JA, Jiang Y.
europepmc   +1 more source

Scalable HMO-CNN-SVM Framework for Skin Lesion Classification: A Metaheuristic-Driven Approach With Parallelizable Optimization for Cluster Deployment. [PDF]

Biomed Eng Comput Biol
Fendzi Mbasso W, Harrison A, Mamadiyarov Z, Liu Z, Kumar R, Shaikh MS, Metwally Mahmoud M.   +6 more
europepmc   +1 more source

Predicting Mechanical Strength of Alkali-Activated High-Performance Concrete Using Machine-Learning Methods. [PDF]

Materials (Basel)
Biswas R, Kazemi F, Sharma A, Jankowski R, Asteris PG.   +4 more
europepmc   +1 more source

Hyperparameter optimization of YOLO using differential evolution, multi-fidelity optimization, and Bayesian optimization. [PDF]

Sci Rep
Gill MU, Rajendran P.
europepmc   +1 more source