Pattern Recognition Letters – Special Issue on Mobile and Wearable Biometrics (VSI:MWB) https://www.journals.elsevier.com/pattern-recognition-letters/call-for-papers/mobile-and-wearable-biometrics-vsimwb AIMS AND SCOPE Mobile devices such as smartphones and tablets are nowadays daily employed by more than 3 billion people, with an expected further worldwide penetration up to 5 billion users by 2025. Among the reasons for such astonishing growth, from the […]
Archive for April, 2021
Pattern Recognition Letters – Special Issue on Mobile and Wearable Biometrics (VSI:MWB)
Curso a Distancia: Gestión de Aceites Aislantes en Transformadores de Potencia (5º Edición).
Ver este correo electrónico en tu navegador Gestión de Aceites Aislantes en Transformadores de Potencia (5º Edición). Curso de Capacitación a Distancia vía Web, Modalidad eLearning con Clases Online en Vivo 26 de Abril al 16 de Mayo de 2021. Inscripción Abierta. El curso está dirigido a Directivos, Profesionales, Técnicos y Especialistas de Empresas Eléctricas […]
Call for papers to be published by Springer Nature: 2021 World Congress in Computer Science, Computer Engineering, and Applied Computing (CSCE’21), Las Vegas, July 26-29, 2021, submission deadline: April 30, 2021
CALL FOR PAPERS Paper Submission Deadline (EXTENDED): April 30, 2021 The 2021 World Congress in Computer Science, Computer Engineering, and Applied Computing (CSCE'21) […]
The IEEE 2nd International Conference on Pattern Recognition and Machine Learning — PRML’21
PRML 2021 Proceedings | IEEE Xplore | Ei Compendex & Scopus 2021 IEEE 2nd International Conference on Pattern Recognition and Machine Learning (PRML 2021) Chengdu, China | Jul 16-18, 2021 http://www.prml.org/ PRML 2021 Proceedings | IEEE Xplore | Ei Compendex & Scopus Publication The papers will be published in the PRML […]
Fourth Workshop on “Robust Subspace Learning and Computer Vision”, RSL-CV 2021 in conjunction with ICCV 2021
Fourth Workshop on “Robust Subspace Learning and Computer Vision Robust subspace learning/tracking/clustering either based on robust statistics estimation on reconstruction error and on decompositions into low-rank/sparse plus additive matrices/tensors provide suitable frameworks for many computer vision applications like in video coding, key frame extraction, hyper-spectral video processing, dynamic MRI, motion saliency detection, background initialization and […]